CN112488556A - Evaluation method, device and terminal for scoring consistency of bid evaluation experts - Google Patents
Evaluation method, device and terminal for scoring consistency of bid evaluation experts Download PDFInfo
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Abstract
The invention relates to the technical field of expert bid evaluation, and particularly discloses a bid evaluation expert scoring consistency evaluation method, which comprises the following steps: acquiring evaluation expert historical data in a historical database; selecting evaluation indexes scored by experts from the evaluation expert historical data; evaluating index weight vectors and scoring consistency level vectors scored by the evaluation experts are obtained; carrying out data preprocessing by normalization; and establishing a scoring early warning model for the bid evaluation expert, and carrying out early warning reminding after the bid evaluation process or the bid evaluation is finished.
Description
Technical Field
The invention relates to the technical field of expert bid evaluation, in particular to a bid evaluation expert scoring consistency evaluation method, device and terminal.
Background
With the development of science and technology, the bid and development system can uniformly supervise and manage projects, and the bid and development system mainly relates various subjects in the bid and development process, such as bid and development agents, bid and development persons, bid evaluation experts, government supervision departments and the like through a special network platform. The networking of the bidding system enables the transaction of project engineering to be more open, transparent, convenient and efficient. At present, when large bidding projects are encountered, the number of bidding evaluation experts is large, and the bidding evaluation result is distorted due to obvious deviation of the bidding evaluation result caused by factors such as hand error and bias in the scoring process of the bidding evaluation experts.
Disclosure of Invention
Aiming at the problems, the invention provides a method, a device and a terminal for evaluating the scoring consistency of a bid evaluation expert.
In order to solve the technical problem, the first aspect of the invention provides a bid evaluation expert scoring consistency evaluation method, which comprises the following steps:
s1, acquiring evaluation expert historical data in a historical database; the evaluation expert historical data comprises project numbers, project names, scoring indexes, evaluation experts, suppliers and index scores.
S2, selecting evaluation indexes scored by experts from the historical data of the evaluation experts;
s3, carrying out data preprocessing through normalization;
s4, evaluating index weight vectors and scoring consistency level vectors scored by the evaluation experts are obtained;
and S5, establishing a scoring early warning model for the bid evaluation expert, and carrying out early warning reminding after the bid evaluation process or the bid evaluation is finished.
Preferably, the evaluation index in step S2 includes: the employment degree, the coverage degree, the deviation degree, the tendency degree and the reliability; the evaluation index weight vector is obtained by a data envelope analysis method.
Preferably, in step S3, data preprocessing is performed by normalization according to each evaluation index, and the calculation formula is:
Preferably, in step S4, the scoring consistency level vector includes the following steps:
(1-1) obtaining evaluation index values scored by each bid evaluation expert;
(1-2) calculating the absolute value of the difference of the evaluation index values between each two evaluation expert scores based on each evaluation index value;
(1-3) calculating the scoring consistency level quantization values of all evaluation indexes scored by the bid evaluation experts, and combining to obtain the scoring consistency level vector as follows:
wherein the content of the first and second substances,
a scored consistency level vector.
Preferably, the step (1-1) includes establishing an evaluation index matrix FA scored by the bid evaluation expert:
wherein the content of the first and second substances,
the j-th evaluation index value, i is 1, …, n, j is 1, …, k, which is scored for the i-th evaluation expert;
preferably, the step (1-2) specifically comprises the following steps:
(2-1) calculating an index value difference of the difference of each evaluation index value between every two evaluation expert scores based on the evaluation index matrix FA: the calculation formula is as follows:
wherein: i.e. i
k is 1, 2, …, where k represents the index value difference index value;
(2-2) for each evaluation index, sorting the index value difference from large to small to obtain a content
Evaluation index difference vector of individual element
；
(2-3) combining all the evaluation index difference vectors to form a consistency evaluation matrix W scored by the bid evaluation experts:
preferably, the step (2-3) includes obtaining a scoring average difference of each evaluation index according to the scoring consistency evaluation matrix W according to the following formula:
wherein i =1, 2
。
Preferably, an initial threshold value is set according to the evaluation index, and when the evaluation index value scored by the bid evaluation expert exceeds or is lower than the initial threshold value, an abnormality is prompted.
The invention provides a bid evaluation expert scoring consistency evaluation device in a second aspect, which comprises:
a data acquisition module: the data acquisition module is used for acquiring evaluation expert historical data in a historical database;
a selecting module: the selection module is used for selecting evaluation indexes scored by experts from the evaluation expert historical data;
a data normalization module: the data normalization module is used for carrying out data preprocessing through normalization;
index weight vector module: the index weight vector is used for solving an evaluation index weight vector and a scoring consistency level vector which are scored by the evaluation expert;
the early warning reminding module: the early warning reminding module is used for establishing a scoring early warning model of the bid evaluation expert and carrying out early warning reminding in the bid evaluation process or after the bid evaluation is finished.
The invention provides a terminal, which comprises a processor and a memory, wherein the memory is stored with a computer program, and the processor is used for executing the computer program to realize the evaluation method of the scoring consistency of the bid evaluation experts when the processor executes the computer program.
Compared with the prior art, the invention has the beneficial effects that: and calculating the average difference between the evaluation index weight vector scored by the evaluation expert and the scoring consistency level vector, and when the difference is greater than a preset value, considering the scoring of the expert as invalid, so that the method of blindly removing the expert with the largest minimum score sum is avoided, and the scoring result is more accurate and reliable.
Drawings
Fig. 1 is a flowchart of a bid evaluation expert scoring consistency evaluation method according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of a bid evaluation expert scoring consistency evaluation device according to an embodiment of the present invention.
Detailed Description
The following examples are further illustrative of the present invention and are not intended to be limiting thereof.
Referring to fig. 1, an embodiment of the present invention provides a method for evaluating the scoring consistency of a bid evaluation expert, including the following steps:
s1, acquiring evaluation expert historical data in a historical database; the evaluation expert historical data comprises project numbers, project names, scoring indexes, evaluation experts, suppliers and index scores.
S2, selecting evaluation indexes scored by experts from the historical data of the evaluation experts;
further, in the embodiment of the present invention, the evaluation index in step S2 includes:
the offering degree: and carrying out model evaluation according to the attendance condition, the review time consumption condition, the review coverage degree and the like.
Coverage degree: and the reasonable time coverage degree of the single evaluation point or the grading point feeds back whether the evaluation is serious.
Degree of deviation: degree of difference between all experts' scores to reflect inter-expert level
Tendency degree: and (4) calculating the difference between the average scores of the enterprises evaluated by the experts, the height of the first score, the time consumption and the like, and feeding back the tendency of the enterprises.
Reliability; and reflecting the credibility of the evaluation through model calculation such as the first-time scored height, time, change times and amplitude, total time, content coverage and the like.
S3, carrying out data preprocessing through normalization;
further, in step S3 of the embodiment of the present invention, data preprocessing is performed by normalization according to each evaluation index, and a calculation formula of the data preprocessing is as follows:
S4, evaluating index weight vectors and scoring consistency level vectors scored by the evaluation experts are obtained;
further, in step S4, according to an embodiment of the present invention, the scoring consistency horizontal vector includes the following steps:
(1-1) obtaining evaluation index values scored by each bid evaluation expert;
(1-2) calculating the absolute value of the difference of the evaluation index values between each two evaluation expert scores based on each evaluation index value;
(1-3) calculating the scoring consistency level quantization values of all evaluation indexes scored by the bid evaluation experts, and combining to obtain the scoring consistency level vector as follows:
wherein the content of the first and second substances,
a scored consistency level vector.
Further, in the embodiment of the present invention, the step (1-1) includes establishing an evaluation index matrix FA scored by the bid evaluation expert:
wherein the content of the first and second substances,
the j-th evaluation index value, i is 1, …, n, j is 1, …, k, which is scored for the i-th evaluation expert;
further, in the embodiment of the present invention, the step (1-2) specifically includes the following steps:
(2-1) calculating an index value difference of the difference of each evaluation index value between every two evaluation expert scores based on the evaluation index matrix FA: the calculation formula is as follows:
wherein: i.e. i
k is 1, 2, …, where k represents the index value difference index value;
(2-2) for each evaluation index, sorting the index value difference from large to small to obtain a content
Evaluation index difference vector of individual element
；
(2-3) combining all the evaluation index difference vectors to form a consistency evaluation matrix W scored by the bid evaluation experts:
further, in the embodiment of the present invention, the step (2-3) includes obtaining a scoring average difference of each evaluation index according to the scoring consistency evaluation matrix W according to the following formula:
wherein i =1, 2
。
And S5, establishing a scoring early warning model for the bid evaluation expert, and carrying out early warning reminding after the bid evaluation process or the bid evaluation is finished.
Furthermore, in the embodiment of the present invention, an initial threshold is set according to the evaluation index, and when the evaluation index value scored by the bid evaluation expert exceeds or is lower than the initial threshold, an abnormality is prompted.
And calculating the average difference between the evaluation index weight vector scored by the evaluation expert and the scoring consistency level vector, and when the difference is greater than a preset value, considering the scoring of the expert as invalid, so that the method of blindly removing the expert with the largest minimum score sum is avoided, and the scoring result is more accurate and reliable.
The embodiment of the invention provides a device for evaluating the scoring consistency of a bid evaluation expert, which comprises:
the data acquisition module 201: the data acquisition module is used for acquiring evaluation expert historical data in a historical database;
a selecting module 202: the selection module is used for selecting evaluation indexes scored by experts from the evaluation expert historical data;
the data normalization module 203: the data normalization module is used for carrying out data preprocessing through normalization;
the metric weight vector module 204: the index weight vector is used for solving an evaluation index weight vector and a scoring consistency level vector which are scored by the evaluation expert;
the early warning reminding module 205: the early warning reminding module is used for establishing a scoring early warning model of the bid evaluation expert and carrying out early warning reminding in the bid evaluation process or after the bid evaluation is finished.
The embodiment of the invention provides a terminal which comprises a processor and a memory, wherein a computer program is stored in the memory, and the processor is used for executing the computer program to realize the evaluation method for the scoring consistency of the bid evaluation experts when the processor executes the computer program.
Illustratively, a computer program can be partitioned into one or more modules, which are stored in memory and executed by a processor to implement the present invention. One or more of the modules may be a sequence of computer program instruction segments for describing the execution of a computer program in a computer device that is capable of performing certain functions.
Those skilled in the art will appreciate that the above description of a computer apparatus is by way of example only and is not intended to be limiting of computer apparatus, and that the apparatus may include more or less components than those described, or some of the components may be combined, or different components may be included, such as input output devices, network access devices, buses, etc.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like which is the control center for the computer device and which connects the various parts of the overall computer device using various interfaces and lines.
The memory may be used to store the computer programs and/or modules, and the processor may implement various functions of the computer device by running or executing the computer programs and/or modules stored in the memory and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The modules/units integrated by the computer device may be stored in a computer-readable storage medium if they are implemented in the form of software functional units and sold or used as separate products. Based on such understanding, all or part of the flow in the method according to the above embodiments may be implemented by a computer program, which may be stored in a computer readable storage medium and used by a processor to implement the steps of the above embodiments of the method. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, electrical signals, software distribution medium, and the like.
The above detailed description is specific to possible embodiments of the present invention, and the above embodiments are not intended to limit the scope of the present invention, and all equivalent implementations or modifications that do not depart from the scope of the present invention should be included in the present claims.
Claims (10)
1. A scoring consistency evaluation method for bid evaluation experts is characterized by comprising the following steps:
s1, acquiring evaluation expert historical data in a historical database; the evaluation expert historical data comprises project numbers, project names, scoring indexes, evaluation experts, suppliers and index scores;
s2, selecting evaluation indexes scored by experts from the historical data of the evaluation experts;
s3, carrying out data preprocessing through normalization;
s4, evaluating index weight vectors and scoring consistency level vectors scored by the evaluation experts are obtained;
and S5, establishing a scoring early warning model for the bid evaluation expert, and carrying out early warning reminding after the bid evaluation process or the bid evaluation is finished.
2. The bid evaluation expert scoring consistency evaluation method according to claim 1, characterized in that: the evaluation index in step S2 includes: the employment degree, the coverage degree, the deviation degree, the tendency degree and the reliability; the evaluation index weight vector is obtained by a data envelope analysis method.
3. The bid evaluation expert scoring consistency evaluation method according to claim 1, characterized in that: in step S3, data preprocessing is performed by normalization according to each evaluation index, and the calculation formula is:
4. The bid evaluation expert scoring consistency evaluation method according to claim 1, characterized in that: in step S4, the scoring consistency horizontal vector includes the following steps:
(1-1) obtaining evaluation index values scored by each bid evaluation expert;
(1-2) calculating the absolute value of the difference of the evaluation index values between each two evaluation expert scores based on each evaluation index value;
(1-3) calculating the scoring consistency level quantization values of all evaluation indexes scored by the bid evaluation experts, and combining to obtain the scoring consistency level vector as follows:
wherein the content of the first and second substances,
a scored consistency level vector.
5. The bid evaluation expert scoring consistency evaluation method according to claim 4, characterized in that: the step (1-1) comprises the steps of establishing an evaluation index matrix FA scored by the bid evaluation expert:
wherein the content of the first and second substances,
and j is the j-th evaluation index value, i is 1, …, n, j is 1, …, k, which is scored by the i-th evaluation expert.
6. The bid evaluation expert scoring consistency evaluation method according to claim 5, characterized in that: the step (1-2) specifically comprises the following steps:
(2-1) calculating an index value difference of the difference of each evaluation index value between every two evaluation expert scores based on the evaluation index matrix FA: the calculation formula is as follows:
wherein:
，
and
any value, k is 1, 2, …, k represents the index value difference;
(2-2) for each evaluation index, sorting the index value difference from large to small to obtain a content
Evaluation index difference vector of individual element
；
(2-3) combining all the evaluation index difference vectors to form a consistency evaluation matrix W scored by the bid evaluation experts:
7. the method for evaluating the scoring consistency of the bid evaluation experts according to claim 6, wherein the step (2-3) comprises obtaining the scoring average difference of each evaluation index according to the scoring consistency evaluation matrix W according to the following formula:
wherein i =1, 2
。
8. The method according to claim 1, wherein in step S5, an initial threshold is set according to the evaluation index, and when the evaluation index value scored by the bid evaluation expert exceeds or falls below the initial threshold, an abnormality is indicated.
9. The utility model provides a mark evaluation expert marks a score uniformity evaluation device which characterized in that includes:
a data acquisition module: the data acquisition module is used for acquiring evaluation expert historical data in a historical database;
a selecting module: the selection module is used for selecting evaluation indexes scored by experts from the evaluation expert historical data;
a data normalization module: the data normalization module is used for carrying out data preprocessing through normalization;
index weight vector module: the index weight vector is used for solving an evaluation index weight vector and a scoring consistency level vector which are scored by the evaluation expert;
the early warning reminding module: the early warning reminding module is used for establishing a scoring early warning model of the bid evaluation expert and carrying out early warning reminding in the bid evaluation process or after the bid evaluation is finished.
10. A terminal comprising a processor and a memory, wherein the memory stores a computer program, and the processor is configured to execute the computer program to execute the evaluation method of the scoring consistency of the bid evaluation experts according to any one of claims 1 to 8.
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