CN111210376A - Method and device for evaluating digitized degree of village - Google Patents

Method and device for evaluating digitized degree of village Download PDF

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CN111210376A
CN111210376A CN201911235728.1A CN201911235728A CN111210376A CN 111210376 A CN111210376 A CN 111210376A CN 201911235728 A CN201911235728 A CN 201911235728A CN 111210376 A CN111210376 A CN 111210376A
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李瑾
冯献
常倩
徐克�
曹冰雪
马晨
刘学馨
郭美荣
贾娜
康晓洁
高亮亮
宋太春
揭晓婧
王洁琼
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Nongxin Technology Beijing Co ltd
Nongxin Nanjing Intelligent Agricultural Research Institute Co Ltd
Beijing Research Center for Information Technology in Agriculture
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Nongxin Technology Beijing Co ltd
Nongxin Nanjing Intelligent Agricultural Research Institute Co Ltd
Beijing Research Center for Information Technology in Agriculture
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Abstract

The embodiment of the invention provides a method and a device for evaluating the digitalization degree of a country, wherein the method comprises the following steps: acquiring a judgment matrix of a first-layer index, a judgment matrix of a second-layer index included by each first-layer index and a judgment matrix of a third-layer index included by each second-layer index in a digital evaluation system, wherein the judgment matrices are used for expressing importance degrees among the indexes; determining a weight vector of a corresponding index according to the judgment matrix; quantizing the index values of the three layers of indexes; weighting according to the quantized three-layer index value and the weight vector of the three-layer index to obtain an evaluation value corresponding to the two-layer index, combining the weight vector of the two-layer index to obtain the evaluation value corresponding to the one-layer index, combining the weight vector of the one-layer index to obtain the evaluation value of the countryside digital degree after weighting. The evaluation mode of combining qualitative indexes and quantitative indexes is adopted, the problem that three-level indexes are not comparable is solved, and the digitized development level of the village can be accurately reflected.

Description

Method and device for evaluating digitized degree of village
Technical Field
The invention relates to the field of data analysis, in particular to a method and a device for evaluating the digital degree of a country.
Background
Digital rural development is an important factor that contributes to the progress of agricultural modernization. Because the industrial structure, the resource endowment, the development target and the like of the villages are different, the digital level of a specific village is correctly evaluated by designing a scientific and reasonable digital village development level evaluation index system, the success and restriction factors of digital village construction can be effectively clarified, the internal requirements of the digital village development rule can be searched, guidance is provided for the agricultural information development, and the method has important theoretical and practical significance for the agricultural modernization development.
However, the current method lacks the evaluation of the digitized development degree of the village level, and cannot meet the digitized development measure requirement of the village unit. The village is taken as the most basic group, the village situation is complex, and the development environment and the development condition between adjacent villages are often greatly different, so that the current evaluation method and the index system cannot be carried out. Meanwhile, the existing research is generally lack of quantitative evaluation and does not form a comprehensive evaluation system, and can not provide all-round theoretical support and practical guidance for the digital development of the village. How to realize the digitized degree evaluation of the village is a problem to be solved urgently at present.
Disclosure of Invention
In order to solve the above problems, embodiments of the present invention provide a method and an apparatus for evaluating a digitized degree of a country.
In a first aspect, an embodiment of the present invention provides a method for evaluating a digitized degree of a country, including: acquiring a judgment matrix of a first-layer index, a judgment matrix of a second-layer index included by each first-layer index and a judgment matrix of a third-layer index included by each second-layer index in a digital evaluation system, wherein the judgment matrices are used for expressing importance degrees among the indexes; determining a weight vector of a corresponding index according to the judgment matrix; quantizing the index values of the three layers of indexes; weighting according to the quantized three-layer index value and the weight vector of the three-layer index to obtain an evaluation value corresponding to the two-layer index, combining the weight vector of the two-layer index to obtain an evaluation value corresponding to the one-layer index, combining the weight vector of the one-layer index to obtain an evaluation value of the countryside digitization degree after weighting; the two-layer indexes are a plurality of qualitative or quantitative analysis indexes of each one-layer index, and the three-layer indexes are a plurality of quantitative analysis indexes of each secondary index.
Further, determining a weight vector of a corresponding index according to the judgment matrix includes: carrying out normalization processing on the judgment matrix to obtain a normalization matrix of the judgment matrix; summing each row of the normalized matrix to obtain a summed matrix; and normalizing the summed matrix to obtain a weight vector.
Further, before determining the weight vector of the corresponding index according to the judgment matrix, the method further includes: calculating the random consistency ratio of the obtained judgment matrix according to the maximum characteristic root of each judgment matrix, the order number of the matrix and the random consistency index value corresponding to the order number of the matrix; and if the calculated random consistency ratio does not meet the preset threshold, adjusting the judgment matrix until the calculated random consistency ratio meets the preset threshold.
Further, the first-level indexes comprise the indexes of infrastructure, country governance, resident life, production and management, resource environment, support system and social reverberation digitization degree.
Further, the two-layer indexes of the digitization degree of the infrastructure comprise the possession rate of the intelligent terminal, the network coverage rate and the possession quantity of the big data product; the two-layer indexes of the rural management digitization degree comprise the popularization rate of a basic organization construction digital system, a village affair management digital system, a public security management digital system and an emergency management digital system; the two-layer indexes of the digitalized degree of the resident life comprise the popularity rates of a convenience service digital system, a smart medical digital system, a smart trip digital system, a smart education digital system, a smart old-age digital system and a cultural life digital system; the two-layer indexes of the production and management digital degree comprise a production management digital system, an agricultural production social service digital system, a logistics digital system and an electronic commerce popularization rate; the two-layer index of the resource environment digitization degree comprises the popularity of a natural resource digital monitoring system and a human living environment digital monitoring and processing system; two-layer indexes of the digitization degree of the support system comprise an intelligent country planning level, an informatization training number and the informatization understanding degree of the public; the two-layer indexes of the social reverberation digitization degree comprise urban and rural information sharing rate, information platform public utilization rate, resident income level, resident happiness index and social attention.
In a second aspect, an embodiment of the present invention provides a device for evaluating a digitized degree of a country, including: the system comprises a judgment matrix generation module, a digital evaluation system and a judgment module, wherein the judgment matrix generation module is used for acquiring a judgment matrix of one-layer indexes in the digital evaluation system, a judgment matrix of two-layer indexes included by each one-layer index and a judgment matrix of three-layer indexes included by each two-layer index, and the judgment matrices are used for representing the importance degree among the indexes; the weight vector determining module is used for determining the weight vector of the corresponding index according to the judgment matrix; the three-layer index acquisition module is used for quantizing the index values of the three-layer indexes; the digital degree evaluation module is used for weighting according to the quantized three-layer index values and the weight vectors of the three-layer indexes to obtain an evaluation value corresponding to the two-layer indexes, combining the weight vectors of the two-layer indexes to obtain an evaluation value corresponding to the one-layer index after weighting, and combining the weight vectors of the one-layer index to obtain an evaluation value of the digital degree of the country after weighting; the two-layer indexes are a plurality of qualitative or quantitative analysis indexes of each one-layer index, and the three-layer indexes are a plurality of quantitative analysis indexes of each secondary index.
Further, the weight vector determination module is specifically configured to: carrying out normalization processing on the judgment matrix to obtain a normalization matrix of the judgment matrix; summing each row of the normalized matrix to obtain a summed matrix; and normalizing the summed matrix to obtain a weight vector.
Further, the apparatus further comprises a determining module, configured to, before determining the weight vector of the corresponding index: calculating the random consistency ratio of the obtained judgment matrix according to the maximum characteristic root of each judgment matrix, the order number of the matrix and the random consistency index value corresponding to the order number of the matrix; and if the calculated random consistency ratio does not meet the preset threshold, adjusting the judgment matrix until the calculated random consistency ratio meets the preset threshold.
In a third aspect, an embodiment of the present invention provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the steps of the rural digitization degree evaluation method according to the first aspect of the present invention.
In a fourth aspect, an embodiment of the present invention provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the rural digitization degree evaluation method according to the first aspect of the present invention.
According to the method and the device for evaluating the digital degree of the village, provided by the embodiment of the invention, the characteristics of the digital degree of the village can be objectively reflected through the first-layer qualitative index, the second-layer qualitative or quantitative index system and the third-layer quantitative index, and the objective and accurate evaluation value of the digital degree of the village is finally obtained through the quantization of the weight vector and the index and the comprehensive consideration of the quantization value and the weight proportion of the index. The evaluation method combining the qualitative index and the quantitative index solves the problem that the three-level index is incomparable, the adopted analytic hierarchy process can increase the authority and the objectivity of an evaluation index system, can accurately reflect the digital development level of the village, can compare the digital degrees of a plurality of villages through the evaluation value, and is beneficial to providing comprehensive theoretical support and practice guidance in the digital development of the village.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a flowchart of a method for evaluating the digitized degree of a country according to an embodiment of the present invention;
FIG. 2 is a diagram of a structure of a digitized degree evaluation apparatus for villages according to an embodiment of the present invention;
fig. 3 is a schematic physical structure diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a flowchart of a method for evaluating a digitized degree of a country according to an embodiment of the present invention, and as shown in fig. 1, the embodiment of the present invention provides a method for evaluating a digitized degree of a country, including:
s1, acquiring a judgment matrix of one-layer indexes in the digital evaluation system, a judgment matrix of two-layer indexes included in each one-layer index, and a judgment matrix of three-layer indexes included in each two-layer index, wherein the judgment matrices are used for expressing importance degrees among the indexes.
In S1, an index system for evaluation is first established or has been established, consisting of one-level index, two-level index, and three-level index. The first level of indexes are mainly qualitative indexes, such as digital indexes of infrastructure, digital country management, digital residential life, digital production and management, digital resource environment, digital support system and digital social reverberation, which are described below as an example. Each first-layer index has a plurality of corresponding second-layer indexes capable of qualitative or quantitative analysis, namely the second-layer indexes are preliminary quantitative analysis indexes under each first-layer index. A plurality of three-layer indexes are arranged below each two-layer index, and the three-layer indexes are indexes of quantitative analysis and can realize quantification.
For the first-layer indexes, the relationship of the importance degree among the first-layer indexes is expressed by a judgment matrix. For the two-layer indexes under each one-layer index, the relationship of the importance degree among the second-layer indexes is also represented by the corresponding judgment matrix, and the same is true for a plurality of three-layer indexes under each two-layer index. That is to say, there are a plurality of judgment matrixes for the second-layer index and the third-layer index, which correspond to the number of the first-layer index and the second-layer index respectively.
For the decision matrix A, aijRepresenting the ratio of the importance of each element in the matrix. For example, when one layer of indexes only comprises the indexes of infrastructure digitization, country control digitization, resident life digitization, production and operation digitization, resource environment digitization, support system digitization and social reverberation digitization, the corresponding judgment matrix A is a 7 × 7 matrix and is used for representing the importance hierarchical relationship among the indexes in one layer of indexes, the value of the judgment matrix A can be determined according to the Delphi method, the expert scoring method and the like, and the importance judgment criterion is generally determined by adopting a 1-9-bit standardization method.
For example: 10 experts in the field of agricultural informatization were hired to score the importance of the primary index in the form of a questionnaire (scale 1-9), where aijIndicates the importance degree of the ith index to the jth index, 1/aijAnd representing the importance degree of the jth index to the ith index, and taking a geometric mean value of the expert scoring result to obtain a judgment matrix A.
And S2, determining the weight vector of the corresponding index according to the judgment matrix.
The judgment matrix reflects the importance degree relation among the indexes, the weight of each index can be obtained according to the judgment matrix, and various calculation methods for determining the weight vector according to the judgment matrix are provided, such as a root method and a sum method.
S3, index values are quantized for the three-layer index.
And obtaining the specific numerical values of the three-layer indexes through quantification.
S4, weighting according to the quantized three-layer index value and the weight vector of the three-layer index to obtain an evaluation value corresponding to the two-layer index, combining the weight vector of the two-layer index to obtain an evaluation value corresponding to the one-layer index, combining the weight vector of the one-layer index to obtain an evaluation value of the digital degree of the country.
Obtaining a vector R according to the vector representation of the specific numerical value of the three-layer index obtained after quantizationiAnd then, calculating weighting according to the weight vector W3 of the three-layer index to obtain the evaluation value of the two-layer index of the three-layer index. After the evaluation value of each two-layer index is obtained according to the step, the evaluation vector of the two-layer index is obtained, and the evaluation value of the index of the first layer to which the two-layer index belongs is obtained through calculation by combining the weight vector W2 of the two-layer index. After the evaluation value of one layer of indexes is determined, the evaluation value of the countryside digitization degree is obtained after weighting by combining the weight vector W1 of one layer of indexes.
The method for evaluating the digitized degree of the village provided by the embodiment of the invention can objectively reflect the characteristics of the digitized degree of the village through the first-layer qualitative index, the second-layer qualitative or quantitative index system and the third-layer quantitative index, and finally obtain an objective and accurate digitized degree evaluation value of the village by comprehensively considering the quantized value and the weight proportion of the indexes through the quantization of the weight vector and the indexes. The evaluation method combining the qualitative index and the quantitative index solves the problem that the three-level index is incomparable, the adopted analytic hierarchy process can increase the authority and the objectivity of an evaluation index system, can accurately reflect the digital development level of the village, can compare the digital degrees of a plurality of villages through the evaluation value, and is beneficial to providing comprehensive theoretical support and practice guidance in the digital development of the village.
Based on the content of the foregoing embodiment, as an optional embodiment, determining a matrix and determining a weight vector of a corresponding index includes: carrying out normalization processing on the judgment matrix to obtain a normalization matrix of the judgment matrix; summing each row of the normalized matrix to obtain a summed matrix; and normalizing the summed matrix to obtain a weight vector.
Specifically, in step S21, a normalization process is performed on the determination matrix a of the index in the first layer to obtain a normalization matrix B of the determination matrix;
s22, summing each row of the normalized matrix B to obtain a matrix C;
s23: normalizing the matrix C to obtain a weight vector set W1
Repeating the steps for the secondary indexes respectively to obtain a weight vector set W2; and repeating the steps for the three levels of indexes to obtain a weight vector set W3.
Accordingly, the above S4 may include:
s41: carrying out standardization processing on the three-level indexes under the ith two-level index to obtain a standardization matrix T3i, and determining the evaluation value S2i of the ith two-level index to be T3i multiplied by W3 by an arithmetic weighting method;
s42: determining the evaluation value S1i of the ith primary index to be S2i multiplied by W2 by an arithmetic weighting method;
s43: the evaluation value P of each evaluation object is determined by an arithmetic weighting method to be S1i xW 1, the digital development level of each evaluation object is evaluated, and the larger the P, the higher the digital development level of the evaluation object.
Based on the content of the foregoing embodiment, as an optional embodiment, before determining the weight vector of the corresponding index according to the determination matrix, the method further includes: calculating the random consistency ratio of the obtained judgment matrix according to the maximum characteristic root of each judgment matrix, the order number of the matrix and the random consistency index value corresponding to the order number of the matrix; and if the calculated random consistency ratio does not meet the preset threshold, adjusting the judgment matrix until the calculated random consistency ratio meets the preset threshold.
The consistency check of the obtained judgment matrix in the embodiment of the invention specifically comprises the following steps of according to a consistency index CwAnd random consistency ratio CwThe RI was tested:
Figure RE-GDA0002414799660000071
in the formula, λmaxJudging the maximum characteristic root of the matrix; n is the order of the judgment matrix; RI is a random consistency index value corresponding to different orders. Take the predetermined threshold of 0.1 as an example, if Cw/RI<0.1, the decision matrix is considered to have acceptable consistency, otherwise, the decision matrix should be adjusted until the decision condition is satisfied.
According to the method for evaluating the digital degree of the village, provided by the embodiment of the invention, the consistency of the obtained judgment matrix is checked until the calculated random consistency ratio meets the preset threshold value, so that the availability of the judgment matrix can be accurately reflected, and the accuracy of the evaluation result is ensured.
Based on the content of the above embodiment, as an optional embodiment, the first-layer index includes an infrastructure digitization, a country management digitization, a resident life digitization, a production and management digitization, a resource environment digitization, a support system digitization, and a social reverberation digitization index.
That is, S01 may be further included, where a hierarchical framework of the digital country development level evaluation index system is constructed, and a primary evaluation index of the digital country development level is determined. According to the indexes of the layers, the characteristics of the digitization degree are comprehensively covered in all aspects.
Based on the content of the above embodiment, as an optional embodiment, the two-layer index of the digitization degree of the infrastructure includes the ownership rate of the intelligent terminal, the network coverage rate, and the ownership volume of the big data product; two-layer indexes of the digitized degree of the country management, including the popularization rate of a basic organization construction digital system, a village affair management digital system, a public security management digital system and an emergency management digital system; two-layer indexes of the digitalized degree of the resident life comprise the popularity rates of a convenience service digital system, an intelligent medical digital system, an intelligent travel digital system, an intelligent education digital system, an intelligent old-age digital system and a cultural life digital system; the two-layer indexes of the production and management digital degree comprise a production management digital system, an agricultural production social service digital system, a logistics digital system and the popularization rate of electronic commerce; the two-layer index of the resource environment digitization degree comprises the popularity of a natural resource digital monitoring system and a human living environment digital monitoring and processing system; two-layer indexes of the digitization degree of the support system comprise the planning level of the intelligent country, the information training times and the information understanding degree of the public; and the two-layer indexes of the social reverberation digitization degree comprise urban and rural information sharing rate, information platform public utilization rate, resident income level, resident happiness index and social attention.
Prior to S1, may further include, S02: and selecting a secondary evaluation index and a tertiary evaluation index under the digital rural development level evaluation system framework and the primary index. The index system in S02 may also be determined, that is, the result obtained in the embodiment S02 of the present invention can be used as the known information in the implementation of S1.
S02 specifically includes:
s021: selecting the secondary indexes of the infrastructure:
the infrastructure indexes reflect the construction level of the infrastructure required in the digital development process of the country, the infrastructure indexes of the invention include 3 second-level indexes, 7 third-level indexes, the second-level index includes the ownership of intelligent terminal, network coverage and the ownership of big data product respectively;
s0211: selecting three-level indexes under the possession rate of the intelligent terminal:
the method comprises the steps of evaluating the ownership rate of the intelligent terminal by 2 indexes such as the ownership rate of the intelligent mobile phone and the ownership rate of the computer, wherein the indexes are shown in a table 1;
TABLE 1
Ownership of smart phone Villager occupation ratio with smart phone (%)
Computer ownership rate Percentage of rural resident family with computer (%)
S0212: selecting three-level indexes under the network coverage rate:
the method comprises the steps of evaluating the network coverage rate by 3 indexes such as the 4G network coverage rate, the home broadband access capability, the key site WIFI coverage rate and the like, as shown in a table 2;
TABLE 2
Figure RE-GDA0002414799660000081
Figure RE-GDA0002414799660000091
S0213: selecting three-level indexes under the possession of the big data product:
the method comprises the steps of evaluating the possession of the big data product by 2 indexes such as the possession of a database, the possession of a big data platform and the like, as shown in a table 3;
TABLE 3
Figure RE-GDA0002414799660000092
S022: selecting the secondary indexes under the control of villages:
the village administration index reflects the development level of digital application of village administration, the village administration index of the invention includes 4 second grade indexes, 10 third grade indexes, the second grade index includes the digital system of infrastructure construction, digital system of management of village affairs, digital system of management of public security and emergency management;
s0221: selecting three-level indexes under a digital system for constructing a basic organization:
the method comprises the following steps of evaluating the popularity of a basic organization construction digital system by 2 indexes such as the application level of the basic organization construction remote education system and the application level of a basic organization construction digital system information system, wherein the indexes are shown in a table 4;
TABLE 4
Figure RE-GDA0002414799660000093
S0222: selecting three-level indexes under a village management digital system:
the method comprises the steps of evaluating the popularity of a digital village management system by indexes such as the application level of a collective asset management system, the application level of a land circulation management platform, the application level of a financial management system, the electronization level of document archive management and the like, as shown in a table 5;
TABLE 5
Figure RE-GDA0002414799660000101
S0223: selecting three-level indexes under a public security management digital system:
the invention includes 2 indexes such as the construction level of the public security video monitoring system and the interconnection and sharing degree of the public security video monitoring system and the town, the district and the like, and the popularization rate of the public security management digital system is evaluated, as shown in the table 6;
TABLE 6
Figure RE-GDA0002414799660000102
S0224: selecting three-level indexes under an emergency management digital system:
the invention comprises the steps of evaluating the popularity of the digital system for public security management by indexes such as the construction level of an emergency command information platform, and the like, as shown in a table 7;
TABLE 7
Figure RE-GDA0002414799660000103
Figure RE-GDA0002414799660000111
S023: selecting the second-level indexes of the resident life:
the resident life index reflects the development level of digital application of rural resident life, the resident life index of the invention includes 6 second grade indexes, 17 third grade indexes, the second grade index includes facilitating the people to serve digital system, intellectual medical digital system, intellectual trip digital system, intellectual education digital system, intellectual endowment digital system and cultural life digital system;
s0231: selecting three-level indexes under the convenience service digital system:
the invention comprises 3 indexes such as the convenience degree of daily life service, the electronization level of house leasing management, the informatization level of employment and training service, and the like, for evaluating the popularity of the convenience service digital system, as shown in a table 8;
TABLE 8
Figure RE-GDA0002414799660000112
S0232: selecting three-level indexes under an intelligent medical digital system:
the invention comprises 3 indexes such as electronic health file construction level, medical treatment convenience degree, remote medical service level and the like, and the popularization rate of the intelligent medical digital system is evaluated, as shown in a table 9;
TABLE 9
Figure RE-GDA0002414799660000113
S0233: selecting three-level indexes under the intelligent travel digital system:
the invention comprises 3 indexes such as public transport availability, electronic map availability and trip information service availability, etc. to evaluate the popularity of the intelligent trip digital system, as shown in table 10;
watch 10
Figure RE-GDA0002414799660000121
S0234: selecting three-level indexes under the intelligent education digital system:
the invention comprises 2 indexes such as the construction level of a remote education platform of a rural middle and primary school and the construction level of a remote professional education platform of a rural area, and the like, for evaluating the popularity of the intelligent education digital system, as shown in a table 11;
TABLE 11
Figure RE-GDA0002414799660000122
S0235: selecting three-level indexes under the intelligent old-age digital system:
the invention comprises the following steps of evaluating the popularity of the intelligent endowment digital system by 2 indexes such as remote monitoring popularity, real-time health monitoring popularity and the like, as shown in a table 12;
TABLE 12
Figure RE-GDA0002414799660000123
S0236: selecting three-level indexes under a cultural life digital system:
the method comprises the steps of obtaining 4 indexes such as cultural information level, digital cinema construction level, digital library construction level and public culture service cloud platform through the internet to evaluate the popularity rate of the cultural life digital system, wherein the indexes are shown in a table 13;
watch 13
Figure RE-GDA0002414799660000131
S024: selecting the secondary indexes under production and operation:
the production and management indexes reflect the development level of digital application in the agricultural production and management process, the production and management indexes of the invention comprise 4 secondary indexes and 8 tertiary indexes, and the secondary indexes comprise a production management digital system, an agricultural production social service digital system, a logistics digital system and electronic commerce;
s0241: selecting three-level indexes under a production management digital system:
the invention comprises 1 index evaluation production management digital system popularity such as leading and special industry production management digital system application level, as shown in table 14;
TABLE 14
Figure RE-GDA0002414799660000132
S0242: selecting three-level indexes under an agricultural production social service digital system:
the method comprises the following steps of evaluating the popularization rate of the agricultural production social service digital system by 3 indexes such as the agricultural technology popularization service platform application level, the agricultural machinery information service platform application level, the agricultural material information service platform application level and the like, as shown in a table 15;
watch 15
Figure RE-GDA0002414799660000133
Figure RE-GDA0002414799660000141
S0243: selecting three-level indexes under a logistics digital system:
the method comprises 2 indexes such as express delivery network construction level, warehouse logistics informatization level and the like, wherein the popularization rate of the logistics digital system is evaluated, and is shown in a table 16;
TABLE 16
Figure RE-GDA0002414799660000142
S0244: selecting three-level indexes under the electronic commerce:
the invention comprises 2 indexes such as e-commerce popularity and e-commerce sales ratio, etc. to evaluate the e-commerce popularity, as shown in table 17;
TABLE 17
Figure RE-GDA0002414799660000143
S025: selecting secondary indexes under the resource environment:
the resource environment indexes embody the digital application development level of villages for resource environment monitoring protection, the resource environment indexes comprise 2 second-level indexes and 5 third-level indexes, and the second-level indexes comprise the popularity rates of a natural resource digital monitoring system and a human-living environment digital monitoring and processing system;
s0251: selecting three-level indexes under a natural resource digital monitoring system:
the invention includes 2 indexes such as natural resource condition monitoring level and natural resource quality monitoring level, which evaluate the resource environment digitization degree, as shown in table 18;
watch 18
Figure RE-GDA0002414799660000151
S0252: selecting three-level indexes under a human living environment digital monitoring and processing system:
the invention comprises 3 indexes such as the automatic monitoring level of the environmental quality, the monitoring level of main pollutants, the harmless treatment level of garbage, feces and sewage, and the like, and evaluates the digital popularization rate of the human-living environment digital monitoring and treating system, as shown in a table 19;
watch 19
Figure RE-GDA0002414799660000152
S026: selecting the secondary indexes under the support system:
the support system indexes embody the development level of relevant indexes which play a supporting role in the development of the digital village, the support system indexes comprise 3 second-level indexes and 3 third-level indexes, and the second-level indexes comprise the planning level of the intelligent village, the information training times and the information understanding degree of the public;
s0261: selecting three-level indexes under the intelligent country planning level:
the method comprises the steps of evaluating the digital level of the intelligent country planning level by 1 index such as the intelligent country planning level, as shown in a table 20;
watch 20
Figure RE-GDA0002414799660000153
S0262: selecting three-level indexes of an informatization trainer:
the method comprises the steps that 1 index such as the rank of an informatization trainer evaluates the rank level of the informatization trainer, and the rank level is shown in a table 21;
TABLE 21
Figure RE-GDA0002414799660000161
S0263: selecting three-level indexes of the public under the information understanding degree:
the method comprises the steps that indexes such as the information understanding and the acceptance degree of the people evaluate the information understanding degree level of the people, and the indexes are shown in a table 22;
TABLE 22
Figure RE-GDA0002414799660000162
S027: selecting a secondary index under social reverberation:
the social reverberation index reflects the benefit level brought to the country society by the development of digital villages, the social reverberation index of the invention comprises 5 second-level indexes and 7 third-level indexes, and the second-level indexes comprise urban and rural information sharing rate, information platform utilization rate of people, resident income level, resident happiness index and social attention;
s0271: selecting three-level indexes under the urban and rural information sharing rate:
the method comprises that 3 indexes such as village website influence, villager information sharing level by public numbers and villager information sharing level by WeChat groups are used for evaluating urban and rural information sharing rate digitization level, as shown in a table 23;
TABLE 23
Figure RE-GDA0002414799660000163
S0272: selecting three-level indexes of the information platform under the condition of public utilization rate:
the invention comprises that the people evaluates the digitalized level of the utilization rate of the people of the information platform according to 1 index such as the actual utilization level of the relevant platform and service, as shown in a table 24;
watch 24
Figure RE-GDA0002414799660000171
S0273: selecting three-level indexes under the income level of residents:
the invention comprises that 1 index such as income which people can all dominate evaluates the income level of residents, as shown in a table 25;
TABLE 25
Figure RE-GDA0002414799660000172
S0274: selecting three-level indexes under the life quality of residents:
the invention comprises 1 index evaluation resident living quality level such as resident happiness index, as shown in table 26;
watch 26
Figure RE-GDA0002414799660000173
S0272: selecting three-level indexes under social attention:
the method comprises the steps of evaluating the social attention level by 1 index such as social influence and the like, as shown in a table 27;
watch 27
Social influence Village receives other units and people to study and investigate people
The indices in each of the above index systems are listed in table 28, as shown in table 28.
Watch 28
Figure RE-GDA0002414799660000174
Figure RE-GDA0002414799660000181
Figure RE-GDA0002414799660000191
Figure RE-GDA0002414799660000201
The method for evaluating the digital degree of the village provided by the embodiment of the invention establishes a comprehensive digital village evaluation system, and the selected indexes all meet the current digital development requirements of the village, thereby effectively guiding the development direction of the digital village.
Based on the above embodiments, the present invention is further described below by a specific example, and S3 specifically includes:
s31: and (3) carrying out weight assignment on the 7 first-level indexes by adopting an analytic hierarchy process, and specifically comprising the following steps of:
s311: 10 experts in the field of agricultural informatization were hired to score the importance of the primary index in the form of a questionnaire (scale 1-9), where aijIndicates the importance degree of the ith index to the jth index, 1/aijRepresenting the importance degree of the jth index to the ith index;
s312: taking a geometric mean value of the expert scoring result to obtain a judgment matrix A;
Figure RE-GDA0002414799660000202
s313: carrying out normalization processing on the judgment matrix A to obtain a normalization matrix B of the judgment matrix;
s314: summing each row of the normalized matrix B to obtain a matrix C;
s315: normalizing the matrix C to obtain a weight vector set W1
W1=[0.345 0.196 0.137 0.1310.094 0.057 0.040]T
S316: computing
Figure RE-GDA0002414799660000203
Wherein C iswIs a consistency index, n is a judgment momentArray order, n ═ 7, λmaxTo determine the maximum of the matrix eigenvectors, lambdamaxSince RI is 7.599, RI is a consistency random index and RI at n7 is 1.32, C is therefore equal towthe/RI is 0.076 and is less than 0.1, and the judgment matrix is considered to be reasonable in value and does not need to be adjusted;
s32: repeating the step S31 for the 27 secondary indexes respectively to obtain a weight vector set W2aWherein a represents the a first level index;
W21=[0.539 0.311 0.150]T
W22=[0.170 0.316 0.286 0.227]T
W23=[0.295 0.287 0.123 0.099 0.141 0.055]T
W24=[0.313 0.164 0.178 0.345]T
W25=[0.691 0.309]T
W26=[0.461 0.339 0.200]T
W27=[0.173 0.167 0.373 0.206 0.081]T
s33: repeating the step S31 for 57 three-level indexes respectively to obtain a weight vector set W3abWherein a represents the a first level index and b represents the b second level index;
W311=[0.816 0.184]T
W312=[0.539 0.216 0.246]T
W313=[0.536 0.464]T
W321=[0.716 0.284]T
W322=[0.327 0.254 0.214 0.101 0.103]T
W323=[0.697 0.303]T
W324=[1]T
W331=[0.609 0.235 0.156]T
W332=[0.499 0.326 0.175]T
W333=[0.584 0.164 0.252]T
W334=[0.576 0.424]T
W335=[0.543 0.457]T
W336=[0.500 0.186 0.197 0.117]T
W341=[1]T
W342=[0.448 0.219 0.332]T
W343=[0.756 0.244]T
W344=[0.755 0.245]T
W351=[0.746 0.254]T
W352=[0.521 0.307 0.172]T
W361=[1]T
W362=[1]T
W363=[1]T
W371=[0.379 0.400 0.221]T
W372=[1]T
W373=[1]T
W374=[1]T
W375=[1]T
s4 specifically includes:
s41: taking X, Y, Z villages as evaluation objects, standardizing the three-level indexes under the b-th second-level index to obtain a standardized matrix TbDetermining the evaluation value S of the b-th secondary index by an arithmetic weighting method2b=Tb×W3ab
S42: determining evaluation value S of a first-level index by using arithmetic weighting method1a=S2a×W2a
S43: determining evaluation value P ═ S of each evaluation object by arithmetic weighting method1a×W1Evaluating the digital development level of each evaluation object;
P=(0.702 0.264 0.718)
three evaluation objects are ranked according to an evaluation value P, and the larger the P is, the higher the digital development level of the evaluation objects is:
PZ>PX>PY
therefore, the digital development level of the three evaluation objects is Z, X, Y from high to low.
Fig. 2 is a structural diagram of a digital degree evaluation device for villages according to an embodiment of the present invention, as shown in fig. 2, the digital degree evaluation device for villages includes: a judgment matrix generation module 201, a weight vector determination module 202, a three-layer index quantization module 203 and a digitization degree evaluation module 204. The judgment matrix generation module 201 is configured to obtain a judgment matrix of a first-layer index, a judgment matrix of a second-layer index included in each first-layer index, and a judgment matrix of a third-layer index included in each second-layer index in a digital evaluation system, where the judgment matrices are used to represent importance degrees among the indexes; the weight vector determination module 202 is configured to determine a weight vector of a corresponding index according to the determination matrix; the three-layer index quantization module 203 is used for quantizing the index values of the three layers of indexes; the digitization degree evaluation module 204 is configured to obtain an evaluation value corresponding to the second-layer index after weighting according to the quantized three-layer index value and the weight vector of the three-layer index, obtain an evaluation value corresponding to the first-layer index after weighting by combining the weight vector of the second-layer index, and obtain an evaluation value of the country digitization degree after weighting by combining the weight vector of the first-layer index; wherein, the two-layer index is a plurality of qualitative or quantitative analysis indexes of each one-layer index, and the three-layer index is a plurality of quantitative analysis indexes of each secondary index.
Based on the content of the foregoing embodiment, as an optional embodiment, the weight vector determining module is specifically configured to: carrying out normalization processing on the judgment matrix to obtain a normalization matrix of the judgment matrix; summing each row of the normalized matrix to obtain a summed matrix; and normalizing the summed matrix to obtain a weight vector.
Based on the content of the foregoing embodiment, as an optional embodiment, the apparatus further includes a determining module, configured to, before determining the weight vector of the corresponding index: calculating the random consistency ratio of the obtained judgment matrix according to the maximum characteristic root of each judgment matrix, the order number of the matrix and the random consistency index value corresponding to the order number of the matrix; and if the calculated random consistency ratio does not meet the preset threshold, adjusting the judgment matrix until the calculated random consistency ratio meets the preset threshold.
The device embodiment provided in the embodiments of the present invention is for implementing the above method embodiments, and for details of the process and the details, reference is made to the above method embodiments, which are not described herein again.
The device for evaluating the digitized degree of the village provided by the embodiment of the invention can objectively reflect the characteristics of the digitized degree of the village through the first-layer qualitative index, the second-layer qualitative or quantitative index system and the third-layer quantitative index, and finally obtain an objective and accurate digitized degree evaluation value of the village by comprehensively considering the quantized value and the weight proportion of the indexes through the quantization of the weight vector and the indexes. The evaluation method combining the qualitative index and the quantitative index solves the problem that the three-level index is incomparable, the adopted analytic hierarchy process can increase the authority and the objectivity of an evaluation index system, can accurately reflect the digital development level of the village, can compare the digital degrees of a plurality of villages through the evaluation value, and is beneficial to providing comprehensive theoretical support and practice guidance in the digital development of the village.
Fig. 3 is a schematic entity structure diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 3, the electronic device may include: a processor (processor)301, a communication Interface (communication Interface)302, a memory (memory)303 and a bus 304, wherein the processor 301, the communication Interface 302 and the memory 303 complete communication with each other through the bus 304. The communication interface 302 may be used for information transfer of an electronic device. Processor 301 may call logic instructions in memory 303 to perform a method comprising: acquiring a judgment matrix of a first-layer index, a judgment matrix of a second-layer index included by each first-layer index and a judgment matrix of a third-layer index included by each second-layer index in a digital evaluation system, wherein the judgment matrices are used for expressing the importance degree among the indexes; determining a weight vector of a corresponding index according to the judgment matrix; quantizing the index values of the three layers of indexes; weighting according to the quantized three-layer index value and the weight vector of the three-layer index to obtain an evaluation value corresponding to the two-layer index, combining the weight vector of the two-layer index to obtain an evaluation value corresponding to the one-layer index, combining the weight vector of the one-layer index to obtain an evaluation value of the countryside digitization degree after weighting; wherein, the two-layer index is a plurality of qualitative or quantitative analysis indexes of each one-layer index, and the three-layer index is a plurality of quantitative analysis indexes of each secondary index.
In addition, the logic instructions in the memory 303 may be implemented in the form of software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes 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 steps of the above-described method embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, 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.
In another aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented to perform the transmission method provided in the foregoing embodiments when executed by a processor, and for example, the method includes: acquiring a judgment matrix of a first-layer index, a judgment matrix of a second-layer index included by each first-layer index and a judgment matrix of a third-layer index included by each second-layer index in a digital evaluation system, wherein the judgment matrices are used for expressing the importance degree among the indexes; determining a weight vector of a corresponding index according to the judgment matrix; quantizing the index values of the three layers of indexes; weighting according to the quantized three-layer index value and the weight vector of the three-layer index to obtain an evaluation value corresponding to the two-layer index, combining the weight vector of the two-layer index to obtain an evaluation value corresponding to the one-layer index, combining the weight vector of the one-layer index to obtain an evaluation value of the countryside digitization degree after weighting; wherein, the two-layer index is a plurality of qualitative or quantitative analysis indexes of each one-layer index, and the three-layer index is a plurality of quantitative analysis indexes of each secondary index.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods of the various embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. A method for evaluating the digitalization degree of a village is characterized by comprising the following steps:
acquiring a judgment matrix of a first-layer index, a judgment matrix of a second-layer index included by each first-layer index and a judgment matrix of a third-layer index included by each second-layer index in a digital evaluation system, wherein the judgment matrices are used for expressing importance degrees among the indexes;
determining a weight vector of a corresponding index according to the judgment matrix;
quantizing the index values of the three layers of indexes;
weighting according to the quantized three-layer index value and the weight vector of the three-layer index to obtain an evaluation value corresponding to the two-layer index, combining the weight vector of the two-layer index to obtain an evaluation value corresponding to the one-layer index, combining the weight vector of the one-layer index to obtain an evaluation value of the countryside digitization degree after weighting;
the two-layer indexes are a plurality of qualitative or quantitative analysis indexes of each one-layer index, and the three-layer indexes are a plurality of quantitative analysis indexes of each secondary index.
2. The method for evaluating the digitized degree of the village according to claim 1, wherein determining the weight vector of the corresponding index according to the judgment matrix comprises:
carrying out normalization processing on the judgment matrix to obtain a normalization matrix of the judgment matrix;
summing each row of the normalized matrix to obtain a summed matrix;
and normalizing the summed matrix to obtain a weight vector.
3. The method for evaluating the digitized degree of village according to claim 2, wherein before determining the weight vector of the corresponding index according to said decision matrix, further comprising:
calculating the random consistency ratio of the obtained judgment matrix according to the maximum characteristic root of each judgment matrix, the order number of the matrix and the random consistency index value corresponding to the order number of the matrix;
and if the calculated random consistency ratio does not meet the preset threshold, adjusting the judgment matrix until the calculated random consistency ratio meets the preset threshold.
4. The village digitization degree evaluation method of claim 1, wherein:
the first-level indexes comprise the indexes of infrastructure, country management, resident life, production and management, resource environment, support system and social reverberation digitization degree.
5. The village digitization degree evaluation method of claim 4, wherein:
the two-layer indexes of the digital degree of the infrastructure comprise the ownership rate of the intelligent terminal, the network coverage rate and the ownership of the big data product;
the two-layer indexes of the rural management digitization degree comprise the popularization rate of a basic organization construction digital system, a village affair management digital system, a public security management digital system and an emergency management digital system;
the two-layer indexes of the digitalized degree of the resident life comprise the popularity rates of a convenience service digital system, a smart medical digital system, a smart trip digital system, a smart education digital system, a smart old-age digital system and a cultural life digital system;
the two-layer indexes of the production and management digital degree comprise a production management digital system, an agricultural production social service digital system, a logistics digital system and an electronic commerce popularization rate;
the two-layer index of the resource environment digitization degree comprises the popularity of a natural resource digital monitoring system and a human living environment digital monitoring and processing system;
two-layer indexes of the digitization degree of the support system comprise an intelligent country planning level, an informatization training number and the informatization understanding degree of the public;
the two-layer indexes of the social reverberation digitization degree comprise urban and rural information sharing rate, information platform public utilization rate, resident income level, resident happiness index and social attention.
6. A digitized degree evaluation apparatus for a country, comprising:
the system comprises a judgment matrix generation module, a digital evaluation system and a judgment module, wherein the judgment matrix generation module is used for acquiring a judgment matrix of one-layer indexes in the digital evaluation system, a judgment matrix of two-layer indexes included by each one-layer index and a judgment matrix of three-layer indexes included by each two-layer index, and the judgment matrices are used for representing the importance degree among the indexes;
the weight vector determining module is used for determining the weight vector of the corresponding index according to the judgment matrix;
the three-layer index quantization module is used for quantizing the index values of the three layers of indexes;
the digital degree evaluation module is used for weighting according to the quantized three-layer index values and the weight vectors of the three-layer indexes to obtain an evaluation value corresponding to the two-layer indexes, combining the weight vectors of the two-layer indexes to obtain an evaluation value corresponding to the one-layer index after weighting, and combining the weight vectors of the one-layer index to obtain an evaluation value of the digital degree of the country after weighting;
the two-layer indexes are a plurality of qualitative or quantitative analysis indexes of each one-layer index, and the three-layer indexes are a plurality of quantitative analysis indexes of each secondary index.
7. The device for evaluating the digitized degree of village according to claim 6, wherein said weight vector determining module is specifically configured to:
carrying out normalization processing on the judgment matrix to obtain a normalization matrix of the judgment matrix;
summing each row of the normalized matrix to obtain a summed matrix;
and normalizing the summed matrix to obtain a weight vector.
8. The village digitization degree evaluation device of claim 6, further comprising a determination module for, before determining the weight vector of the corresponding index:
calculating the random consistency ratio of the obtained judgment matrix according to the maximum characteristic root of each judgment matrix, the order number of the matrix and the random consistency index value corresponding to the order number of the matrix;
and if the calculated random consistency ratio does not meet the preset threshold, adjusting the judgment matrix until the calculated random consistency ratio meets the preset threshold.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor, when executing the program, carries out the steps of the method for rural digitization evaluation according to any one of claims 1 to 5.
10. A non-transitory computer-readable storage medium, on which a computer program is stored, wherein the computer program, when being executed by a processor, implements the steps of the rural digitization degree evaluation method according to any one of claims 1 to 5.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116109456A (en) * 2023-04-03 2023-05-12 成都大学 Comprehensive evaluation method and system for intelligent education, electronic equipment and storage medium

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116109456A (en) * 2023-04-03 2023-05-12 成都大学 Comprehensive evaluation method and system for intelligent education, electronic equipment and storage medium
CN116109456B (en) * 2023-04-03 2023-07-28 成都大学 Comprehensive evaluation method and system for intelligent education, electronic equipment and storage medium

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