CN114626744A - Scientific and technological innovation capability-based assessment method and system and readable storage medium - Google Patents
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Abstract
The invention provides an assessment method, an assessment system and a readable storage medium based on scientific and technological innovation capability, wherein the method comprises the following steps: acquiring various scientific and technological innovation capability information of an enterprise to be evaluated; evaluating the scientific and technological innovation capability initial score of the enterprise to be evaluated through an enterprise scientific and technological innovation capability evaluation model; forming an integrated enterprise library, and calculating the relative scores of the scientific and technological innovation abilities of the corresponding enterprises in the integrated enterprise library through a first preset algorithm based on various pieces of scientific and technological innovation ability information of the corresponding enterprises in the integrated enterprise library; calculating to obtain a scientific and technological innovation capability score correction value through a second preset algorithm based on the scientific and technological innovation capability relative score and the scientific and technological innovation capability initial score of the corresponding enterprise; and adding the scientific and technological innovation capability initial score and the scientific and technological innovation capability score correction value of the enterprise to be evaluated to obtain a scientific and technological innovation capability final score of the enterprise to be evaluated. The invention can realize accurate evaluation on the scientific and technological innovation capability of enterprises.
Description
Technical Field
The invention relates to the technical field of big data calculation, in particular to an evaluation method and system based on scientific and technological innovation capability and a readable storage medium.
Background
At present, under the market economic condition, the technological innovation capability is a determining factor of competitive advantages of enterprises. The problem of evaluating the scientific and technological innovation capability of enterprises is mainly solved when the enterprises develop scientific and technological innovation activities. The enterprise scientific and technological innovation capability evaluation system is an important component of a scientific and technological innovation system and is an effective tool for evaluating and controlling enterprise innovation behaviors. The evaluation conclusion of the enterprise scientific and technological innovation evaluation system not only can be used as the basis of the government's scientific and technological innovation supporting policy, but also is an important measure for evaluating the innovation capacity of the enterprise and making or adjusting the innovation direction.
With the continuous development of the scientific and technological innovation capability of enterprises, the assessment methods of the scientific and technological innovation capability of the enterprises are more and more, but some methods have poor actual operability and cannot measure the measurement and factors in the assessment actually. In addition, some evaluation methods depend on expert artificial evaluation excessively, and the evaluation conclusion is inaccurate due to the difficulty in completing the consistency of different experts.
Disclosure of Invention
In order to solve at least one technical problem, the invention provides an evaluation method, a system and a readable storage medium based on scientific and technological innovation capability, which can realize accurate evaluation of the scientific and technological innovation capability of an enterprise, provide a reliable basis for a scientific and technological innovation supporting policy, and further promote the improvement of the scientific and technological innovation capability of the enterprise.
The invention provides an assessment method based on scientific and technological innovation capacity in a first aspect, which comprises the following steps:
acquiring various scientific and technological innovation capability information of an enterprise to be evaluated through a big data platform;
constructing an enterprise scientific and technological innovation capability evaluation model, and training through sample data to obtain an optimized enterprise scientific and technological innovation capability evaluation model;
evaluating the initial scores of the scientific and technological innovation abilities of the enterprises to be evaluated through the optimized enterprise scientific and technological innovation ability evaluation model based on various pieces of scientific and technological innovation ability information of the enterprises to be evaluated;
performing clustering analysis on a plurality of enterprises in a preset area range based on industry fields to obtain enterprise groups of various categories;
selecting enterprise groups in the same industry field as the enterprises to be evaluated as target enterprise groups;
respectively acquiring various scientific and technological innovation capability information of each enterprise in the target enterprise group, and respectively evaluating the scientific and technological innovation capability initial score of each enterprise in the target enterprise group through an enterprise scientific and technological innovation capability evaluation model;
integrating the enterprises to be evaluated and a plurality of enterprises in the target enterprise group to form an integrated enterprise library, and calculating the relative scores of the scientific and technological innovation capabilities of the corresponding enterprises in the integrated enterprise library through a first preset algorithm based on various pieces of scientific and technological innovation capability information of the corresponding enterprises in the integrated enterprise library;
calculating to obtain a scientific and technological innovation capability score correction value through a second preset algorithm based on the scientific and technological innovation capability relative score and the scientific and technological innovation capability initial score of the corresponding enterprise;
and adding the scientific and technological innovation capability initial score and the scientific and technological innovation capability score correction value of the enterprise to be evaluated to obtain a scientific and technological innovation capability final score of the enterprise to be evaluated.
In this scheme, the enterprise to be evaluated and the plurality of enterprises in the target enterprise group are integrated to form an integrated enterprise library, and based on various pieces of scientific and technological innovation capability information of the corresponding enterprises in the integrated enterprise library, the relative scores of the scientific and technological innovation capabilities of the corresponding enterprises in the integrated enterprise library are calculated through a first preset algorithm, which specifically includes:
respectively carrying out feature calculation on each item of technological innovation capability information of each enterprise grouped by the target enterprise to obtain a first feature value;
performing characteristic calculation on each piece of scientific and technological innovation capability information of the enterprise to be evaluated to obtain a second characteristic value;
respectively comparing the second characteristic value of the enterprise to be evaluated with the first characteristic value of each enterprise in the target enterprise group;
screening out enterprises with the difference degree smaller than a first preset threshold value in the target enterprise group, and adding the enterprises to be evaluated into an integrated enterprise library together;
on the basis of integrating each enterprise in the enterprise library, comparing and analyzing each piece of technological innovation capability information with corresponding pieces of technological innovation capability information of the rest enterprises respectively;
if the former enterprise is superior to the latter enterprise, adding one point to the technological innovation capability of the corresponding item of the former enterprise, otherwise, not adding one point to the technological innovation capability of the corresponding item of the former enterprise;
after each enterprise in the integrated enterprise library completes the comparative analysis with the rest of all enterprises, the relative scores of each scientific and technological innovation capability of each enterprise in the integrated enterprise library are counted;
and calculating to obtain the relative scores of the scientific and technological innovation abilities of each enterprise in the integrated enterprise library based on the relative scores of the scientific and technological innovation abilities of each enterprise.
In this scheme, based on the relative score of each scientific and technological innovation ability of every enterprise, calculate and obtain the scientific and technological innovation ability relative score of every enterprise in integrating the enterprise library, specifically include:
obtaining the grading influence weight of each scientific and technological innovation ability in the industry field;
respectively multiplying the relative scores of the scientific and technological innovation abilities of each enterprise in the integrated enterprise library by the corresponding score influence weights to obtain the relative weight scores of the scientific and technological innovation abilities of each enterprise;
and on the basis of each enterprise in the integrated enterprise library, performing cumulative calculation on the relative weight scores of the scientific and technological innovation abilities to obtain the relative scores of the scientific and technological innovation abilities of each enterprise in the integrated enterprise library.
In this scheme, based on the scientific and technological innovation capability relative score and the scientific and technological innovation capability initial score of the corresponding enterprise, the scientific and technological innovation capability score correction value is calculated through a second preset algorithm, and the method specifically includes the following steps:
acquiring the scientific and technological innovation capability initial scores and the scientific and technological innovation capability relative scores of all enterprises in the integrated enterprise library;
accumulating and calculating the initial scores of the technological innovation abilities of all enterprises in the integrated enterprise library to obtain a first numerical value;
accumulating and calculating the relative scores of the technological innovation abilities of all enterprises in the integrated enterprise library to obtain a second numerical value;
dividing the first numerical value by the second numerical value to calculate a multiple difference between the relative score of the technological innovation ability and the initial score of the technological innovation ability;
converting the relative scores of the technological innovation ability of each enterprise in the integrated enterprise library based on the multiple difference to obtain the conversion scores of the technological innovation ability of each enterprise in the integrated enterprise library;
calculating the difference between the scientific and technological innovation capability conversion score of each enterprise in the integrated enterprise library and the corresponding scientific and technological innovation capability initial score to obtain the score deviation of each enterprise;
and carrying out average calculation on the scoring deviations of all enterprises in the integrated enterprise library based on the total number of the enterprises in the integrated database to obtain the scoring correction value of the technological innovation capability.
In this scheme, compare analysis is carried out with every scientific and technological innovation ability information of its every science and technological innovation ability information respectively with the corresponding item scientific and technological innovation ability information of surplus enterprise, specifically includes:
generating a block chain comparison message between each piece of technological innovation capability information of each enterprise and corresponding pieces of technological innovation capability information of other rest enterprises, wherein the block chain comparison message at least comprises identity information of two enterprises and a compared technological innovation capability information category;
pushing each block chain comparison message to a block chain network;
comparing each block chain comparison message by each block chain link point in the block chain network, and verifying the comparison result;
and determining the superior party of the two comparison parties based on the confirmation result of each block chain link point in the block chain network to each block chain comparison message.
In this scheme, comparing each block chain comparison message by each block chain link point in the block chain network, and verifying the result by the comparison specifically includes:
presetting a block chain comparison information X, receiving the block chain comparison information X by a block chain link point A, comparing corresponding item scientific and technological innovation capability information of two enterprises in the block chain comparison information X, and generating a comparison result G1;
the block chain link point A signs the comparison result G1 by adopting a private key of the block chain link point A, adds the signed comparison result G1 into the comparison verification result sequence of the block chain comparison information X to obtain first derivative information, and then pushes the first derivative information into a block chain network;
when the block chain node B receives the block chain comparison information X signed by the block chain link point A, comparing the corresponding scientific and technological innovation capability information of the enterprises of both parties in the block chain comparison information X, and generating a comparison result G2;
the block chain link point B signs the comparison result G2 by adopting a private key of the block chain link point B, adds the signed comparison result G2 into the comparison verification result sequence of the block chain comparison information X, obtains second derivative information after the signed comparison result G1, and then pushes the second derivative information into the block chain network;
calculating the duration of the current time since the block chain comparison information X is firstly pushed to the block chain network;
when the duration reaches a preset duration threshold, taking out all derived information related to the block chain comparison information X from the block chain network;
selecting one piece of derivative information with the longest comparison verification result sequence from all derivative information related to the block chain comparison information X as target derivative information;
and counting the signed comparison result in the target derived information, and if block link points exceeding a preset proportion prove that the former enterprise of the two parties is superior to the latter enterprise, adding one to the corresponding scientific and technological innovation capability of the former enterprise.
The second aspect of the present invention further provides an evaluation system based on scientific and technological innovation capability, including a memory and a processor, where the memory includes an evaluation method program based on scientific and technological innovation capability, and when executed by the processor, the evaluation method program based on scientific and technological innovation capability implements the following steps:
acquiring various scientific and technological innovation capability information of an enterprise to be evaluated through a big data platform;
constructing an enterprise scientific and technological innovation capability evaluation model, and training through sample data to obtain an optimized enterprise scientific and technological innovation capability evaluation model;
evaluating the initial scores of the scientific and technological innovation abilities of the enterprises to be evaluated through the optimized enterprise scientific and technological innovation ability evaluation model based on various pieces of scientific and technological innovation ability information of the enterprises to be evaluated;
performing clustering analysis on a plurality of enterprises in a preset area range based on industry fields to obtain enterprise groups of various categories;
selecting enterprise groups in the same industry field as the enterprises to be evaluated as target enterprise groups;
respectively acquiring various scientific and technological innovation capability information of each enterprise in the target enterprise group, and respectively evaluating the scientific and technological innovation capability initial score of each enterprise in the target enterprise group through an enterprise scientific and technological innovation capability evaluation model;
integrating the enterprises to be evaluated and a plurality of enterprises in the target enterprise group to form an integrated enterprise library, and calculating the relative scores of the scientific and technological innovation abilities of the corresponding enterprises in the integrated enterprise library through a first preset algorithm based on various scientific and technological innovation ability information of the corresponding enterprises in the integrated enterprise library;
calculating to obtain a scientific and technological innovation capability score correction value through a second preset algorithm based on the scientific and technological innovation capability relative score and the scientific and technological innovation capability initial score of the corresponding enterprise;
and adding the scientific and technological innovation capability initial score and the scientific and technological innovation capability score correction value of the enterprise to be evaluated to obtain a scientific and technological innovation capability final score of the enterprise to be evaluated.
In this scheme, the enterprise to be evaluated and the plurality of enterprises in the target enterprise group are integrated to form an integrated enterprise library, and based on various pieces of scientific and technological innovation capability information of the corresponding enterprises in the integrated enterprise library, the relative scores of the scientific and technological innovation capabilities of the corresponding enterprises in the integrated enterprise library are calculated through a first preset algorithm, which specifically includes:
respectively carrying out feature calculation on each item of technological innovation capability information of each enterprise grouped by the target enterprise to obtain a first feature value;
performing characteristic calculation on each piece of scientific and technological innovation capability information of the enterprise to be evaluated to obtain a second characteristic value;
respectively comparing the second characteristic value of the enterprise to be evaluated with the first characteristic value of each enterprise in the target enterprise group;
screening out enterprises with the difference degree smaller than a first preset threshold value in the target enterprise group, and adding the enterprises to be evaluated into an integrated enterprise library together;
on the basis of integrating each enterprise in the enterprise library, comparing and analyzing each piece of technological innovation capability information with corresponding pieces of technological innovation capability information of the rest enterprises respectively;
if the former enterprise is superior to the latter enterprise, adding one point to the technological innovation capability of the corresponding item of the former enterprise, otherwise, not adding one point to the technological innovation capability of the corresponding item of the former enterprise;
after each enterprise in the integrated enterprise library completes the comparative analysis with the rest of all enterprises, the relative scores of each scientific and technological innovation capability of each enterprise in the integrated enterprise library are counted;
and calculating to obtain the relative scores of the scientific and technological innovation abilities of each enterprise in the integrated enterprise library based on the relative scores of the scientific and technological innovation abilities of each enterprise.
In this scheme, based on the relative score of each scientific and technological innovation ability of every enterprise, calculate and obtain the scientific and technological innovation ability relative score of every enterprise in integrating the enterprise library, specifically include:
obtaining the grading influence weight of each scientific and technological innovation ability in the industry field;
respectively multiplying the relative scores of the scientific and technological innovation abilities of each enterprise in the integrated enterprise library by the corresponding score influence weights to obtain the relative weight scores of the scientific and technological innovation abilities of each enterprise;
and on the basis of each enterprise in the integrated enterprise library, performing cumulative calculation on the relative weight scores of the scientific and technological innovation abilities to obtain the relative scores of the scientific and technological innovation abilities of each enterprise in the integrated enterprise library.
The third aspect of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes a program for a scientific and technological innovation capability-based evaluation method, and when the program is executed by a processor, the method implements the steps of the scientific and technological innovation capability-based evaluation method.
The assessment method and system based on the scientific and technological innovation capability and the readable storage medium can accurately evaluate the scientific and technological innovation capability of enterprises, provide reliable basis for scientific and technological innovation supporting policies, and further promote the improvement of the scientific and technological innovation capability of the enterprises.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
FIG. 1 is a flow chart of a scientific and technological innovation capability-based evaluation method according to the present invention;
fig. 2 is a block diagram of an evaluation system based on technological innovation capability according to the present invention.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.
Fig. 1 shows a flowchart of an evaluation method based on technological innovation capability according to the present invention.
As shown in fig. 1, a first aspect of the present invention provides a method for evaluating technology innovation capability, where the method includes:
s102, acquiring various scientific and technological innovation capability information of an enterprise to be evaluated through a big data platform;
s104, constructing an enterprise scientific and technological innovation capability evaluation model, and training through sample data to obtain an optimized enterprise scientific and technological innovation capability evaluation model;
s106, evaluating the initial scores of the scientific and technological innovation abilities of the enterprises to be evaluated through the optimized enterprise scientific and technological innovation ability evaluation model based on various pieces of scientific and technological innovation ability information of the enterprises to be evaluated;
s108, carrying out clustering analysis on a plurality of enterprises in a preset area range based on industry fields to obtain enterprise groups of various categories;
s110, selecting enterprise groups in the same industry field as the to-be-evaluated enterprises as target enterprise groups;
s112, respectively acquiring various scientific and technological innovation capability information of each enterprise in the target enterprise group, and respectively evaluating the scientific and technological innovation capability initial score of each enterprise in the target enterprise group through the enterprise scientific and technological innovation capability evaluation model;
s114, integrating the enterprise to be evaluated and a plurality of enterprises in the target enterprise group to form an integrated enterprise library, and calculating the relative scores of the scientific and technological innovation abilities of the corresponding enterprises in the integrated enterprise library through a first preset algorithm based on various scientific and technological innovation ability information of the corresponding enterprises in the integrated enterprise library;
s116, calculating to obtain a score correction value of the scientific and technological innovation capability through a second preset algorithm based on the scientific and technological innovation capability relative score and the scientific and technological innovation capability initial score of the corresponding enterprise;
and S118, adding the scientific and technological innovation capability initial score and the scientific and technological innovation capability score correction value of the enterprise to be evaluated to obtain a scientific and technological innovation capability final score of the enterprise to be evaluated.
According to the method, an enterprise scientific and technological innovation capability evaluation model is established, and the scientific and technological innovation capability of the enterprise to be evaluated is scored based on the enterprise scientific and technological innovation capability evaluation model, so that an initial score is obtained. The evaluation of the score by the model is limited by the influence of the deep learning algorithm factor of the model, so that the score can be in error. The method comprises the steps of continuously carrying out model score calculation on the basis of a plurality of enterprises in a preset area range, carrying out correction value calculation on the basis of scores calculated by the models and relative scores among the enterprises to obtain a correction value, and correcting the initial score of the enterprise to be evaluated through the correction value to obtain the final score of the enterprise to be evaluated. By adopting the evaluation method, the accuracy of scoring the scientific and technological innovation capability of the enterprise can be effectively improved, a reliable basis is provided for scientific and technological innovation supporting policies issued from various places based on scoring results, and the rapid development of scientific and technological innovation enterprises is further promoted.
It can be understood that the above-mentioned various technical innovation capability information can be the advancement of technical products, the number of technical talents, economic benefits, the number of patents, etc., but is not limited thereto.
It should be noted that, because the scientific and technological innovation scoring dimensionalities in different industry fields are greatly different, the enterprise group in the same field as the enterprise to be evaluated is selected to calculate the correction value, so that the accuracy of the correction value is improved, and the accuracy of the final scoring is further improved.
According to the embodiment of the invention, the enterprise to be evaluated and the plurality of enterprises in the target enterprise group are integrated to form an integrated enterprise library, and the relative scores of the scientific and technological innovation capabilities of the corresponding enterprises in the integrated enterprise library are calculated through a first preset algorithm based on various pieces of scientific and technological innovation capability information of the corresponding enterprises in the integrated enterprise library, wherein the method specifically comprises the following steps:
respectively carrying out feature calculation on each item of technological innovation capability information of each enterprise grouped by the target enterprise to obtain a first feature value;
performing characteristic calculation on each piece of scientific and technological innovation capability information of the enterprise to be evaluated to obtain a second characteristic value;
respectively comparing the second characteristic value of the enterprise to be evaluated with the first characteristic value of each enterprise in the target enterprise group;
screening out enterprises with the difference degree smaller than a first preset threshold value in the target enterprise group, and adding the enterprises to be evaluated into an integrated enterprise library together;
on the basis of integrating each enterprise in the enterprise library, comparing and analyzing each piece of technological innovation capability information with corresponding pieces of technological innovation capability information of the rest enterprises respectively;
if the former enterprise is superior to the latter enterprise, adding one score to the scientific and technological innovation capability corresponding to the former enterprise, otherwise, not adding one score to the scientific and technological innovation capability corresponding to the former enterprise;
after each enterprise in the integrated enterprise library completes the comparative analysis with the rest of all enterprises, the relative scores of each scientific and technological innovation capability of each enterprise in the integrated enterprise library are counted;
and calculating to obtain the relative scores of the scientific and technological innovation abilities of each enterprise in the integrated enterprise library based on the relative scores of the scientific and technological innovation abilities of each enterprise.
It should be noted that, in the present invention, firstly, through feature calculation, an enterprise similar to the feature value of the enterprise to be evaluated is found, and is added into the integrated enterprise library, and then, comparison analysis is performed based on various technological innovation capability information of each enterprise in the integrated enterprise library, for example, comparison analysis is performed based on product technology advancement of two enterprises, and if the product technology advancement of the former enterprise is higher than that of the latter enterprise, one of the product technology advancement of the former enterprise is added. Finally, the relative scores of the scientific and technological innovation abilities of each enterprise can be counted, wherein the relative scores are obtained relative to other enterprises in the range of the integrated enterprise library, and have the referential property among the enterprises, so that the problem that the scoring relative error of each enterprise is large due to independent scoring of a single enterprise is avoided.
It can be understood that, during the comparative analysis, the former enterprise is used as a main body of the comparative analysis, and the latter enterprise is used as a reference body for evaluating each technological innovation capability of the former enterprise, so that if the former enterprise is superior to the latter enterprise, the corresponding technological innovation capability of the former enterprise is increased by one, otherwise, the corresponding technological innovation capability of the former enterprise is not increased by one.
According to the embodiment of the invention, the calculating and obtaining the relative scores of the scientific and technological innovation abilities of each enterprise in the integrated enterprise library based on the relative scores of the scientific and technological innovation abilities of each enterprise specifically comprises the following steps:
obtaining the grading influence weight of each scientific and technological innovation ability in the industry field;
respectively multiplying the relative scores of the scientific and technological innovation abilities of each enterprise in the integrated enterprise library by the corresponding score influence weights to obtain the relative weight scores of the scientific and technological innovation abilities of each enterprise;
and on the basis of each enterprise in the integrated enterprise library, performing cumulative calculation on the relative weight scores of the scientific and technological innovation abilities to obtain the relative scores of the scientific and technological innovation abilities of each enterprise in the integrated enterprise library.
It should be noted that, evaluation factors of the scientific and technological innovation capability and the influence weight of each evaluation factor in each industry field are different, so after the relative scores of each scientific and technological innovation capability are obtained, in order to balance the influence of the relative scores of each scientific and technological innovation capability on the final relative score, the relative scores of each scientific and technological innovation capability can be multiplied by the corresponding score influence weight respectively to obtain the relative weight score, and the relative weight scores are accumulated finally to obtain a more accurate relative score.
According to the specific embodiment of the invention, the obtaining of the scoring influence weight of each technological innovation capability in the industry field specifically comprises the following steps:
acquiring social environment factors of a current time node;
constructing a scoring influence weight prediction model based on various technological innovation abilities;
and predicting the scoring influence weight of each technological innovation capability of the current time node through a scoring influence weight prediction model based on the social environment factors of the current time node.
It is understood that the social environmental factor may be policy, social development direction, etc., but is not limited thereto.
It should be noted that the scoring influence weights of the scientific and technological innovation abilities are generally influenced by social environmental factors, so that the scoring influence weights of the scientific and technological innovation abilities are not fixed, but are dynamically adjusted along with the change of the social environmental factors, and the accuracy of the scientific and technological innovation abilities relative to the scoring calculation is further improved.
According to an embodiment of the present invention, after the scoring influence weight of each technological innovation capability of the current time node is predicted by the scoring influence weight prediction model, the method further includes:
acquiring real score influence weights of different enterprises at each historical time node and corresponding social environment factors from a historical database:
performing feature calculation aiming at social environment factors of each historical time node of different enterprises in a historical database to obtain a third feature value;
performing feature calculation aiming at social environment factors of the current time node to obtain a fourth feature value;
comparing the difference between the third characteristic value and the fourth characteristic value, and adding the enterprises with the difference smaller than a second preset threshold value in the historical database into an enterprise library to be selected;
based on social environment factors of each enterprise in the enterprise library to be selected, outputting a prediction score influence weight of each enterprise in the enterprise library to be selected through a score influence weight prediction model;
respectively differentiating the predicted scoring influence weight of each enterprise in the enterprise library to be selected with the corresponding real scoring influence weight based on each scientific and technological innovation capability to obtain a weight difference value based on each enterprise, wherein each weight difference value comprises a weight component difference value of each enterprise based on each scientific and technological innovation capability, and the sum of the weight component difference values of all the scientific and technological innovation capabilities in each weight difference value is equal to 0;
accumulating the weight component difference values of all enterprises in the enterprise library to be selected based on the same technological innovation capability to obtain weight component sums based on all the technological innovation capabilities;
counting the total number of enterprises in the enterprise library to be selected, and dividing the weight component sum of each technological innovation capability by the total number of the enterprises to obtain a weight correction value based on each technological innovation capability;
and respectively adding the score influence weights of all the technological innovation capabilities of the current time node predicted by the score influence weight prediction model to corresponding weight correction values to obtain the corrected score influence weights.
To further illustrate the embodiment of the present invention, it is preset that there are 2 enterprises in the to-be-selected database, the scientific and technological innovation capability is 2, and the score influence weight of each scientific and technological innovation capability predicted by the current time node is 0.2:0.3:0.3:0.1:0.1, and the sum of the score influence weights of each scientific and technological innovation capability, that is, 0.2+0.3+0.3+0.1+0.1 is 1, the true score influence weight of the first enterprise in the to-be-selected database is 0.25:0.25:0.25:0.15:0.1, and the predicted score influence weight of the first enterprise is 0.26:0.24:0.23:0.15: 0.12; the weight component difference based on the technological innovation capabilities of the first enterprise is-0.01, 0.01, 0.02, 0, -0.02 (calculated as: 0.25-0.26-0.01, 0.25-0.24-0.01, 0.25-0.23-0.02, 0.15-0.02, 0.1-0.12-0.02), and-0.01 +0.01+0.02+0+ (-0.02) -0. The true score impact weight for the second business is 0.21:0.27:0.23:0.17:0.12, the predicted score impact weight for the second business is 0.23:0.26:0.24:0.13:0.14, then the weight component differences based on the second business's technological innovation capabilities are-0.02, 0.01, -0.01, 0.04, -0.02 (calculated as 0.21-0.23-0.02, 0.27-0.26-0.01, 0.23-0.24-0.01, 0.17-0.13-0.04, 0.12-0.14-0.02), and-0.02 +0.01+ (-0.01) +0.4+ (-0.02) — 0. Adding the weight component differences of the first enterprise and the second enterprise based on the same technological innovation capability, namely-0.01 + (-0.02) ═ 0.03, 0.01+0.01 ═ 0.02, 0.02+ (-0.01) ═ 0.01, 0+0.04 ═ 0.04, -0.02+ (-0.02) ═ 0.04; dividing the sum of the weight components of each technological innovation capability by the total number of enterprises, wherein the total number of enterprises is 2, then-0.03/2 is-0.015, 0.02/2 is 0.01, 0.01/2 is 0.005, 0.04/2 is 0.02, and-0.04/2 is-0.02. Then, based on the obtained weight correction values of-0.015, 0.01, 0.005, 0.02 and-0.02 of each technological innovation capability, the score influence weight of each technological innovation capability is predicted by the current time node to be 0.2:0.3:0.3:0.1:0.1, and then the corrected score influence weight calculation formula is (0.2-0.015), (0.3+0.01), (0.3+0.005), (0.1+0.02), (0.1-0.02), namely 0.185:0.31:0.305: 0.12: 0.08.
according to the embodiment of the invention, the method for calculating the score correction value of the scientific and technological innovation capability based on the scientific and technological innovation capability relative score and the scientific and technological innovation capability initial score of the corresponding enterprise through the second preset algorithm specifically comprises the following steps:
acquiring the initial scores of the technological innovation capacity and the relative scores of the technological innovation capacity of all enterprises in the integrated enterprise library;
accumulating and calculating the initial scores of the scientific and technological innovation capabilities of all enterprises in the integrated enterprise library to obtain a first numerical value;
accumulating and calculating the relative scores of the technological innovation abilities of all enterprises in the integrated enterprise library to obtain a second numerical value;
dividing the first numerical value by the second numerical value to calculate a multiple difference between the relative score of the technological innovation ability and the initial score of the technological innovation ability;
converting the relative scores of the technological innovation ability of each enterprise in the integrated enterprise library based on the multiple difference to obtain the conversion scores of the technological innovation ability of each enterprise in the integrated enterprise library;
calculating the difference between the scientific and technological innovation capability conversion score of each enterprise in the integrated enterprise library and the corresponding scientific and technological innovation capability initial score to obtain the score deviation of each enterprise;
and carrying out average calculation on the scoring deviations of all enterprises in the integrated enterprise library based on the total number of the enterprises in the integrated database to obtain the scoring correction value of the scientific and technological innovation capability.
According to the specific embodiment of the present invention, the converting the relative score of the scientific and technological innovation capability of each enterprise in the integrated enterprise repository based on the multiple difference to obtain the conversion score of the scientific and technological innovation capability of each enterprise in the integrated enterprise repository specifically includes:
and multiplying the relative scores of the technological innovation abilities of all the enterprises in the integrated enterprise library by the multiple difference respectively to obtain the conversion scores of the technological innovation abilities of all the enterprises in the integrated enterprise library.
It can be understood that the initial score is obtained by model evaluation, the relative score is obtained by comparison analysis between every two enterprises in the enterprise library, the scoring mechanisms of the initial score and the relative score are different, and correspondingly, the score meanings between the initial score and the relative score are different.
According to the embodiment of the invention, each piece of technological innovation capability information is compared and analyzed with the corresponding piece of technological innovation capability information of the rest enterprises, and the method specifically comprises the following steps:
generating a block chain comparison message between each piece of scientific and technological innovation capability information of each enterprise and corresponding pieces of scientific and technological innovation capability information of the rest other enterprises, wherein the block chain comparison message at least comprises identity information of the two enterprises and compared scientific and technological innovation capability information types;
pushing each block chain comparison message to a block chain network;
comparing each block chain comparison message by each block chain link point in the block chain network, and verifying the comparison result;
and determining the superior party of the two comparison parties based on the confirmation result of each block chain link point in the block chain network to each block chain comparison message.
It can be understood that the former enterprise of the two comparison parties is the main body of the comparison, and if the former enterprise of the two comparison parties is superior to the latter enterprise, the technological innovation capability of the former enterprise is added.
In order to ensure the fairness of the two comparison parties, the decentralized blockchain network is adopted for evaluation, and each blockchain link point in the blockchain network can be an enterprise representative or a government agency, but the method is not limited to the above. And finally, the comparison confirmation results of all the block chain nodes are integrated to obtain an accurate comparison result through diversified comparison evaluation and confirmation of the evaluation results.
According to the embodiment of the invention, each block chain link point in the block chain network respectively compares each block chain comparison message, and the comparison verifies the result, which specifically comprises the following steps:
presetting a block chain comparison information X, receiving the block chain comparison information X by a block chain link point A, comparing corresponding item scientific and technological innovation capability information of two enterprises in the block chain comparison information X, and generating a comparison result G1;
the block chain link point A signs the comparison result G1 by adopting a private key of the block chain link point A, adds the signed comparison result G1 into the comparison verification result sequence of the block chain comparison information X to obtain first derivative information, and then pushes the first derivative information into a block chain network;
when the block chain node B receives the block chain comparison information X signed by the block chain link point A, comparing the corresponding scientific and technological innovation capability information of the enterprises of both parties in the block chain comparison information X, and generating a comparison result G2;
the block chain link point B signs the comparison result G2 by adopting a private key of the block chain link point B, adds the signed comparison result G2 into the comparison verification result sequence of the block chain comparison information X, obtains second derivative information after the signed comparison result G1, and then pushes the second derivative information into the block chain network;
calculating the duration of the current time since the block chain comparison information X is firstly pushed to the block chain network;
when the duration reaches a preset duration threshold, taking out all derived information related to the block chain comparison information X from the block chain network;
selecting one piece of derivative information with the longest comparison verification result sequence from all derivative information related to the block chain comparison information X as target derivative information;
and counting the signed comparison result in the target derived information, and if block link points exceeding a preset proportion prove that the former enterprise of the two parties is superior to the latter enterprise, adding one to the corresponding scientific and technological innovation capability of the former enterprise.
It should be noted that, after the blockchain comparison information X is pushed to the blockchain network, it may be received by a plurality of blockchain nodes, and after each blockchain node receives, it may perform comparison based on its own knowledge, and compare and sign the result.
It can be understood that each block chain link point may also receive a plurality of pieces of derivative information related to the block chain comparison information X, and then the received plurality of pieces of derivative information are screened, specifically, each block chain link point preferably selects the derivative information with the longest comparison verification result sequence as its signature object, so as to promote the comparison verification result sequence to reach a certain length quickly, and further facilitate determination of the comparison result.
According to an embodiment of the present invention, after obtaining the second derivative information and then pushing it into the blockchain network, the method further includes:
receiving derived information related to block chain comparison information X in real time from a block chain network, and judging whether a comparison confirmation result sequence in the received derived information reaches a preset length or not;
if yes, taking the derivative information received this time as target derivative information, counting comparison results signed in the target derivative information, and if block link points exceeding a preset proportion prove that the former enterprise of the two parties is superior to the latter enterprise, adding one to the scientific and technological innovation capability corresponding to the former enterprise; if not, continuously receiving the next piece of derived information related to the block chain comparison information X in real time.
Fig. 2 is a block diagram of an evaluation system based on technological innovation capability according to the present invention.
As shown in fig. 2, the second aspect of the present invention further provides a scientific and technological innovation capability based evaluation system 2, which includes a memory 21 and a processor 22, wherein the memory includes a scientific and technological innovation capability based evaluation method program, and when the scientific and technological innovation capability based evaluation method program is executed by the processor, the following steps are implemented:
acquiring various scientific and technological innovation capability information of an enterprise to be evaluated through a big data platform;
constructing an enterprise scientific and technological innovation capability evaluation model, and training through sample data to obtain an optimized enterprise scientific and technological innovation capability evaluation model;
evaluating the initial scores of the scientific and technological innovation abilities of the enterprises to be evaluated through the optimized enterprise scientific and technological innovation ability evaluation model based on various pieces of scientific and technological innovation ability information of the enterprises to be evaluated;
performing clustering analysis on a plurality of enterprises in a preset area range based on industry fields to obtain enterprise groups of various categories;
selecting enterprise groups in the same industry field as the enterprises to be evaluated as target enterprise groups;
respectively acquiring various scientific and technological innovation capability information of each enterprise in the target enterprise group, and respectively evaluating the scientific and technological innovation capability initial score of each enterprise in the target enterprise group through an enterprise scientific and technological innovation capability evaluation model;
integrating the enterprises to be evaluated and a plurality of enterprises in the target enterprise group to form an integrated enterprise library, and calculating the relative scores of the scientific and technological innovation abilities of the corresponding enterprises in the integrated enterprise library through a first preset algorithm based on various scientific and technological innovation ability information of the corresponding enterprises in the integrated enterprise library;
calculating to obtain a scientific and technological innovation capability score correction value through a second preset algorithm based on the scientific and technological innovation capability relative score and the scientific and technological innovation capability initial score of the corresponding enterprise;
and adding the scientific and technological innovation capability initial score and the scientific and technological innovation capability score correction value of the enterprise to be evaluated to obtain a scientific and technological innovation capability final score of the enterprise to be evaluated.
According to the embodiment of the present invention, the enterprise to be evaluated and the plurality of enterprises in the target enterprise group are integrated to form an integrated enterprise library, and based on various pieces of scientific and technological innovation capability information of the corresponding enterprise in the integrated enterprise library, a first preset algorithm is used to calculate a relative score of the scientific and technological innovation capability of the corresponding enterprise in the integrated enterprise library, which specifically includes:
respectively carrying out feature calculation on each item of technological innovation capability information of each enterprise grouped by the target enterprise to obtain a first feature value;
performing characteristic calculation on each piece of scientific and technological innovation capability information of the enterprise to be evaluated to obtain a second characteristic value;
respectively comparing the second characteristic value of the enterprise to be evaluated with the first characteristic value of each enterprise in the target enterprise group;
screening out enterprises with the difference degree smaller than a first preset threshold value in the target enterprise group, and adding the enterprises to be evaluated into an integrated enterprise library together;
on the basis of integrating each enterprise in the enterprise library, comparing and analyzing each piece of technological innovation capability information with corresponding pieces of technological innovation capability information of the rest enterprises respectively;
if the former enterprise is superior to the latter enterprise, adding one point to the technological innovation capability of the corresponding item of the former enterprise, otherwise, not adding one point to the technological innovation capability of the corresponding item of the former enterprise;
after each enterprise in the integrated enterprise library completes comparative analysis with the rest of the enterprises, counting the relative scores of each scientific and technological innovation capability of each enterprise in the integrated enterprise library;
and calculating to obtain the relative scores of the scientific and technological innovation abilities of each enterprise in the integrated enterprise library based on the relative scores of the scientific and technological innovation abilities of each enterprise.
According to the embodiment of the invention, the calculating and obtaining the relative scores of the scientific and technological innovation abilities of each enterprise in the integrated enterprise library based on the relative scores of the scientific and technological innovation abilities of each enterprise specifically comprises the following steps:
obtaining the grading influence weight of each scientific and technological innovation ability in the industry field;
respectively multiplying the relative scores of the scientific and technological innovation abilities of each enterprise in the integrated enterprise library by the corresponding score influence weights to obtain the relative weight scores of the scientific and technological innovation abilities of each enterprise;
and on the basis of each enterprise in the integrated enterprise library, performing cumulative calculation on the relative weight scores of the scientific and technological innovation abilities to obtain the relative scores of the scientific and technological innovation abilities of each enterprise in the integrated enterprise library.
The third aspect of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes a program for a scientific and technological innovation capability-based evaluation method, and when the program is executed by a processor, the method implements the steps of the scientific and technological innovation capability-based evaluation method.
The scientific and technological innovation capability-based evaluation method, system and readable storage medium provided by the invention can realize accurate evaluation of the scientific and technological innovation capability of enterprises, provide reliable basis for the policy of supporting scientific and technological innovation, and further promote the improvement of the scientific and technological innovation capability of the enterprises.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of the unit is only a logical functional division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (10)
1. An assessment method based on scientific and technological innovation capability is characterized by comprising the following steps:
acquiring various scientific and technological innovation capability information of an enterprise to be evaluated through a big data platform;
constructing an enterprise scientific and technological innovation capability evaluation model, and training through sample data to obtain an optimized enterprise scientific and technological innovation capability evaluation model;
evaluating the initial scores of the scientific and technological innovation abilities of the enterprises to be evaluated through the optimized enterprise scientific and technological innovation ability evaluation model based on various pieces of scientific and technological innovation ability information of the enterprises to be evaluated;
performing clustering analysis on a plurality of enterprises in a preset area range based on industry fields to obtain enterprise groups of various categories;
selecting enterprise groups in the same industry field as the enterprises to be evaluated as target enterprise groups;
respectively acquiring various scientific and technological innovation capability information of each enterprise in the target enterprise group, and respectively evaluating the scientific and technological innovation capability initial score of each enterprise in the target enterprise group through an enterprise scientific and technological innovation capability evaluation model;
integrating the enterprises to be evaluated and a plurality of enterprises in the target enterprise group to form an integrated enterprise library, and calculating the relative scores of the scientific and technological innovation abilities of the corresponding enterprises in the integrated enterprise library through a first preset algorithm based on various scientific and technological innovation ability information of the corresponding enterprises in the integrated enterprise library;
calculating to obtain a score correction value of the scientific and technological innovation capability through a second preset algorithm based on the scientific and technological innovation capability relative score and the scientific and technological innovation capability initial score of the corresponding enterprise;
and adding the scientific and technological innovation capability initial score and the scientific and technological innovation capability score correction value of the enterprise to be evaluated to obtain a scientific and technological innovation capability final score of the enterprise to be evaluated.
2. The method according to claim 1, wherein the to-be-evaluated enterprise and the plurality of enterprises in the target enterprise group are integrated to form an integrated enterprise library, and a relative score of the scientific and technological innovation capability of the corresponding enterprise in the integrated enterprise library is calculated through a first preset algorithm based on various pieces of scientific and technological innovation capability information of the corresponding enterprise in the integrated enterprise library, specifically comprising:
respectively carrying out feature calculation on each item of technological innovation capability information of each enterprise grouped by the target enterprise to obtain a first feature value;
performing characteristic calculation on each piece of scientific and technological innovation capability information of the enterprise to be evaluated to obtain a second characteristic value;
respectively comparing the difference between the second characteristic value of the enterprise to be evaluated and the first characteristic value of each enterprise in the target enterprise group;
screening out enterprises with the difference degree smaller than a first preset threshold value in the target enterprise group, and adding the enterprises to be evaluated into an integrated enterprise library together;
on the basis of integrating each enterprise in the enterprise library, comparing and analyzing each piece of technological innovation capability information with corresponding pieces of technological innovation capability information of the rest enterprises respectively;
if the former enterprise is superior to the latter enterprise, adding one point to the technological innovation capability of the corresponding item of the former enterprise, otherwise, not adding one point to the technological innovation capability of the corresponding item of the former enterprise;
after each enterprise in the integrated enterprise library completes the comparative analysis with the rest of all enterprises, the relative scores of each scientific and technological innovation capability of each enterprise in the integrated enterprise library are counted;
and calculating to obtain the relative scores of the scientific and technological innovation abilities of each enterprise in the integrated enterprise library based on the relative scores of the scientific and technological innovation abilities of each enterprise.
3. The method as claimed in claim 2, wherein the step of calculating the relative scores of the scientific and technological innovation abilities of each enterprise in the integrated enterprise repository based on the relative scores of the scientific and technological innovation abilities of each enterprise comprises:
obtaining the grading influence weight of each scientific and technological innovation ability in the industry field;
respectively multiplying the relative scores of the scientific and technological innovation abilities of each enterprise in the integrated enterprise library by the corresponding score influence weights to obtain the relative weight scores of the scientific and technological innovation abilities of each enterprise;
and on the basis of each enterprise in the integrated enterprise library, performing cumulative calculation on the relative weight scores of the scientific and technological innovation abilities to obtain the relative scores of the scientific and technological innovation abilities of each enterprise in the integrated enterprise library.
4. The method according to claim 2, wherein the scientific and technological innovation capability score correction value is calculated by a second preset algorithm based on the scientific and technological innovation capability relative score and the scientific and technological innovation capability initial score of the corresponding enterprise, and specifically comprises:
acquiring the scientific and technological innovation capability initial scores and the scientific and technological innovation capability relative scores of all enterprises in the integrated enterprise library;
accumulating and calculating the initial scores of the technological innovation abilities of all enterprises in the integrated enterprise library to obtain a first numerical value;
accumulating and calculating the relative scores of the technological innovation abilities of all enterprises in the integrated enterprise library to obtain a second numerical value;
dividing the first numerical value by the second numerical value to calculate a multiple difference between the relative score of the technological innovation ability and the initial score of the technological innovation ability;
converting the relative scores of the technological innovation ability of each enterprise in the integrated enterprise library based on the multiple difference to obtain the conversion scores of the technological innovation ability of each enterprise in the integrated enterprise library;
calculating the difference between the scientific and technological innovation capability conversion score of each enterprise in the integrated enterprise library and the corresponding scientific and technological innovation capability initial score to obtain the score deviation of each enterprise;
and carrying out average calculation on the scoring deviations of all enterprises in the integrated enterprise library based on the total number of the enterprises in the integrated database to obtain the scoring correction value of the technological innovation capability.
5. The method as claimed in claim 2, wherein each piece of scientific and technological innovation capability information is compared with corresponding pieces of scientific and technological innovation capability information of the remaining enterprises for analysis, and the method specifically comprises:
generating a block chain comparison message between each piece of technological innovation capability information of each enterprise and corresponding pieces of technological innovation capability information of other rest enterprises, wherein the block chain comparison message at least comprises identity information of two enterprises and a compared technological innovation capability information category;
pushing each block chain comparison message to a block chain network;
comparing each block chain comparison message by each block chain link point in the block chain network, and verifying the comparison result;
and determining the superior party of the two comparison parties based on the confirmation result of each block chain link point in the block chain network to each block chain comparison message.
6. The method according to claim 5, wherein comparing the comparison messages of each blockchain by each blockchain link point in the blockchain network, and verifying the result by the comparison comprises:
presetting a block chain comparison information X, receiving the block chain comparison information X by a block chain link point A, comparing corresponding item scientific and technological innovation capability information of two enterprises in the block chain comparison information X, and generating a comparison result G1;
the block chain link point A signs the comparison result G1 by adopting a private key of the block chain link point A, adds the signed comparison result G1 into the comparison verification result sequence of the block chain comparison information X to obtain first derivative information, and then pushes the first derivative information into a block chain network;
when the block chain node B receives the block chain comparison information X signed by the block chain link point A, comparing the corresponding scientific and technological innovation capability information of the enterprises of both parties in the block chain comparison information X, and generating a comparison result G2;
the block chain link point B signs the comparison result G2 by adopting a private key of the block chain link point B, adds the signed comparison result G2 into the comparison verification result sequence of the block chain comparison information X, obtains second derivative information after the signed comparison result G1, and then pushes the second derivative information into the block chain network;
calculating the duration of the current time since the block chain comparison information X is firstly pushed to the block chain network;
when the duration reaches a preset duration threshold, taking out all derived information related to the block chain comparison information X from the block chain network;
selecting one piece of derivative information with the longest alignment verification result sequence from all derivative information related to the block chain alignment information X as target derivative information;
and counting the signed comparison result in the target derived information, and if block link points exceeding a preset proportion prove that the former enterprise of the two parties is superior to the latter enterprise, adding one to the corresponding scientific and technological innovation capability of the former enterprise.
7. A scientific and technological innovation capability-based assessment system is characterized by comprising a memory and a processor, wherein the memory comprises a scientific and technological innovation capability-based assessment method program, and the scientific and technological innovation capability-based assessment method program is executed by the processor to realize the following steps:
acquiring various scientific and technological innovation capability information of an enterprise to be evaluated through a big data platform;
constructing an enterprise scientific and technological innovation capability evaluation model, and training through sample data to obtain an optimized enterprise scientific and technological innovation capability evaluation model;
evaluating the initial scores of the scientific and technological innovation abilities of the enterprises to be evaluated through the optimized enterprise scientific and technological innovation ability evaluation model based on various pieces of scientific and technological innovation ability information of the enterprises to be evaluated;
performing clustering analysis on a plurality of enterprises in a preset area range based on industry fields to obtain enterprise groups of various categories;
selecting enterprise groups in the same industry field as the enterprises to be evaluated as target enterprise groups;
respectively acquiring various scientific and technological innovation capability information of each enterprise in the target enterprise group, and respectively evaluating the scientific and technological innovation capability initial score of each enterprise in the target enterprise group through an enterprise scientific and technological innovation capability evaluation model;
integrating the enterprises to be evaluated and a plurality of enterprises in the target enterprise group to form an integrated enterprise library, and calculating the relative scores of the scientific and technological innovation abilities of the corresponding enterprises in the integrated enterprise library through a first preset algorithm based on various scientific and technological innovation ability information of the corresponding enterprises in the integrated enterprise library;
calculating to obtain a scientific and technological innovation capability score correction value through a second preset algorithm based on the scientific and technological innovation capability relative score and the scientific and technological innovation capability initial score of the corresponding enterprise;
and adding the scientific and technological innovation capability initial score and the scientific and technological innovation capability score correction value of the enterprise to be evaluated to obtain a scientific and technological innovation capability final score of the enterprise to be evaluated.
8. The system according to claim 7, wherein the to-be-evaluated enterprise and the plurality of enterprises in the target enterprise group are integrated to form an integrated enterprise library, and a relative score of the scientific and technological innovation capability of the corresponding enterprise in the integrated enterprise library is calculated through a first preset algorithm based on various pieces of scientific and technological innovation capability information of the corresponding enterprise in the integrated enterprise library, specifically comprising:
respectively carrying out feature calculation on each item of technological innovation capability information of each enterprise grouped by the target enterprise to obtain a first feature value;
performing characteristic calculation on each piece of scientific and technological innovation capability information of the enterprise to be evaluated to obtain a second characteristic value;
respectively comparing the second characteristic value of the enterprise to be evaluated with the first characteristic value of each enterprise in the target enterprise group;
screening out enterprises with the difference degree smaller than a first preset threshold value in the target enterprise group, and adding the enterprises to be evaluated into an integrated enterprise library together;
on the basis of integrating each enterprise in the enterprise library, comparing and analyzing each piece of technological innovation capability information with corresponding pieces of technological innovation capability information of the rest enterprises respectively;
if the former enterprise is superior to the latter enterprise, adding one point to the technological innovation capability of the corresponding item of the former enterprise, otherwise, not adding one point to the technological innovation capability of the corresponding item of the former enterprise;
after each enterprise in the integrated enterprise library completes the comparative analysis with the rest of all enterprises, the relative scores of each scientific and technological innovation capability of each enterprise in the integrated enterprise library are counted;
and calculating to obtain the relative scores of the scientific and technological innovation abilities of each enterprise in the integrated enterprise library based on the relative scores of the scientific and technological innovation abilities of each enterprise.
9. The system of claim 8, wherein the calculating of the relative scores of the scientific and technological innovation capabilities of each enterprise in the integrated enterprise repository based on the relative scores of the scientific and technological innovation capabilities of each enterprise comprises:
obtaining the grading influence weight of each scientific and technological innovation ability in the industry field;
respectively multiplying the relative scores of the scientific and technological innovation abilities of each enterprise in the integrated enterprise library by the corresponding score influence weights to obtain the relative weight scores of the scientific and technological innovation abilities of each enterprise;
and on the basis of each enterprise in the integrated enterprise library, performing cumulative calculation on the relative weight scores of the scientific and technological innovation abilities to obtain the relative scores of the scientific and technological innovation abilities of each enterprise in the integrated enterprise library.
10. A computer-readable storage medium, comprising a program for a method for assessing a capability of a scientific innovation, wherein the program for the method for assessing the capability of the scientific innovation is executed by a processor to implement the steps of the method for assessing the capability of the scientific innovation according to any one of claims 1 to 6.
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| CN116502918A (en) * | 2023-05-12 | 2023-07-28 | 广东省科技基础条件平台中心 | Innovative capability evaluation method of technological innovation platform |
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| CN116502918B (en) * | 2023-05-12 | 2024-04-05 | 广东省科技基础条件平台中心 | Innovative capability evaluation method of technological innovation platform |
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