CN113379226A - Comprehensive evaluation method and device based on area terminal energy-use substitution technology - Google Patents

Comprehensive evaluation method and device based on area terminal energy-use substitution technology Download PDF

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CN113379226A
CN113379226A CN202110635087.XA CN202110635087A CN113379226A CN 113379226 A CN113379226 A CN 113379226A CN 202110635087 A CN202110635087 A CN 202110635087A CN 113379226 A CN113379226 A CN 113379226A
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杨洋
张子昊
谢青洋
张锡然
罗恩博
李响
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Electric Power Research Institute of Yunnan Power Grid Co Ltd
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Abstract

The application discloses a comprehensive evaluation method and device based on a regional terminal replaceable technology. In the method, firstly, subjective weight and objective weight of criterion layer indexes are respectively determined, and the subjective weight and the objective weight of the criterion layer indexes are combined to determine the combination weight of the criterion layer indexes. An index layer index weight is then determined. And finally, according to the criterion layer index combination weight and the index layer index weight, further combining each index fuzzy relation matrix to determine the comprehensive evaluation result of the replaceable technology for the regional terminal. According to the method and the device, the subjective weight and the objective weight of the index of the criterion layer are scientifically and effectively combined, and finally the final comprehensive evaluation result is determined by combining the combined weight of the index of the criterion layer and the index weight of the index layer, so that the technical problem that in the prior art, the weights of all indexes of the criterion layer are weighted only by experts according to own experience in the field, and the final evaluation result is inaccurate due to the fact that more subjective factors exist is solved.

Description

Comprehensive evaluation method and device based on area terminal energy-use substitution technology
Technical Field
The application relates to the technical field of economic assessment, in particular to a comprehensive assessment method and device based on a regional terminal replaceable technology.
Background
Along with the increase of economy, the contradiction between energy supply and demand is increasingly aggravated, and energy conservation and reasonable energy utilization are particularly urgent. Development of an energy-using substitution technology for a regional terminal is an important method for realizing reasonable energy use and promoting energy conservation and emission reduction. The regional terminal energy consumption substitution means that a plurality of high-efficiency, economic and clean new energy are used for replacing conventional energy consumption modes such as scattered coal and fuel oil aiming at a terminal energy consumption link of a typical region. The energy substitution technology for the regional terminal mainly aims at the load side of a user, electric energy substitution is mainly used, for example, electric heating is used for substituting traditional coal-fired heating, and an electric automobile is used for substituting a fuel automobile. The energy substitution technology for the area terminal is comprehensively and comprehensively evaluated from the aspects of an energy efficiency level, an environment level, an economic level, a system safety level and the like, and the method has a positive effect on promoting multi-energy complementation, reasonable planning of energy substitution and further development.
Currently, for evaluating each index of a typical area, the first step is to weight the weights of the indexes of a criterion layer according to their experiences by experts in the field, wherein the indexes of the criterion layer include: energy efficiency index, reliability index, economic index and environmental protection index. Determining index weight of index layer, wherein the energy efficiency index comprises primary energy utilization rate, primary energy saving rate,
Figure BDA0003105338420000011
Efficiency and energy step utilization rate; the reliability index comprises power supply reliability and yearFour index layer indexes of the failure rate of the tie comprehensive energy equipment, the average system incapacity time and the user energy consumption satisfaction rate; the economic indexes comprise four index layer indexes of system operation profit, net present value, internal earning rate and investment recovery period; the environmental protection index includes CO2Reduced volume of SO2Reduced volume, NOXThe emission reduction and the environmental protection value are four indexes of the index layer. And finally, comprehensively evaluating the area terminal use replaceable optimization technology according to the criterion layer index weight and the index layer index weight.
However, the weights of the indexes of the criterion layer are weighted only by experts in the field according to own experience, and more subjective factors exist, so that the final evaluation result is inaccurate.
Disclosure of Invention
The application discloses a comprehensive evaluation method and device based on a regional terminal replaceable technology, which are used for solving the technical problem that in the prior art, weights of indexes of a criterion layer are assigned only through experts in the field according to self experience, wherein more subjective factors exist, and the final evaluation result is inaccurate.
The application discloses a comprehensive evaluation method based on area terminal available alternative technology in a first aspect, which comprises the following steps:
acquiring a preset influence relation among an energy efficiency index, a reliability index, an economic index and an environmental protection index in the indexes of the criterion layer, and determining an influence relation matrix of the criterion layer;
determining an energy efficiency judgment matrix by taking the energy efficiency index as a reference according to the criterion layer influence relation matrix, determining a reliability judgment matrix by taking the reliability index as a reference according to the criterion layer influence relation matrix, determining an economic judgment matrix by taking the economic index as a reference according to the criterion layer influence relation matrix, and determining an environmental protection judgment matrix by taking the environmental protection index as a reference according to the criterion layer influence relation matrix;
determining an energy efficiency normalization eigenvector according to the energy efficiency judgment matrix, determining a reliability normalization eigenvector according to the reliability judgment matrix, determining an economy normalization eigenvector according to the economy judgment matrix, and determining an environment-friendly normalization eigenvector according to the environment-friendly judgment matrix;
determining a direct influence matrix according to the energy efficiency normalized eigenvector, the reliability normalized eigenvector, the economy normalized eigenvector and the environmental protection normalized eigenvector;
calculating a limit of the direct influence matrix, and determining a subjective weight of a criterion layer index;
determining the objective weight of the index of the criterion layer according to preset reference data of the index of the criterion layer;
determining a criterion layer index combination weight according to the criterion layer index subjective weight and the criterion layer index objective weight;
determining index weight of an index layer according to preset index layer index reference data;
determining a fuzzy relation matrix of each index according to a preset grading criterion and a preset grading function;
determining a comprehensive evaluation result of each index according to the index weight of the index layer and the fuzzy relation matrix of each index;
and determining the comprehensive evaluation result of the replaceable technology for the regional terminal according to the criterion layer index combination weight and the comprehensive evaluation result of each index.
Optionally, the determining a criterion layer index combination weight according to the criterion layer index subjective weight and the criterion layer index objective weight includes:
determining a subjective weight importance coefficient of each criterion layer index and an objective weight importance coefficient of each criterion layer index according to the criterion layer index subjective weight and the criterion layer index objective weight;
and determining the criterion layer index combination weight according to the criterion layer index subjective weight, the criterion layer index objective weight, the subjective weight important coefficient of each criterion layer index and the objective weight important coefficient of each criterion layer index.
Optionally, the determining the index weight of the index layer according to the preset index reference data of the index layer includes:
determining an index layer judgment matrix according to the preset index layer index reference data;
acquiring the maximum value in each column in the index layer judgment matrix, and determining an index layer reference sequence according to the maximum value in each column in the index layer judgment matrix;
acquiring the distance between each column in the index layer judgment matrix and the index layer reference sequence, and determining the weight to be processed of the index layer according to the distance;
and determining the index weight of the index layer according to the index layer index to-be-processed weight.
Optionally, the determining a comprehensive evaluation result of each index according to the index layer index weight and the fuzzy relation matrix of each index includes:
the index fuzzy relation matrix comprises an energy efficiency fuzzy relation matrix, a reliability fuzzy relation matrix, an economic fuzzy relation matrix and an environmental protection fuzzy relation matrix;
according to the index layer index weight and the energy efficiency fuzzy relation matrix, determining an evaluation result of the area terminal in terms of the energy efficiency of the alternative technology, according to the index layer index weight and the reliability fuzzy relation matrix, determining an evaluation result of the area terminal in terms of the reliability of the alternative technology, according to the index layer index weight and the economy fuzzy relation matrix, determining an evaluation result of the area terminal in terms of the economy of the alternative technology, and according to the index layer index weight and the environment-friendly fuzzy relation matrix, determining an evaluation result of the area terminal in terms of the environment friendliness of the alternative technology;
and determining the comprehensive evaluation result of each index according to the evaluation result of the area terminal alternative technology in terms of energy efficiency, the evaluation result of the area terminal alternative technology in terms of reliability, the evaluation result of the area terminal alternative technology in terms of economy and the evaluation result of the area terminal alternative technology in terms of environmental protection.
Optionally, the determining the combined weight of the criterion layer indexes according to the subjective weight of the criterion layer indexes, the objective weight of the criterion layer indexes, the subjective weight importance coefficient of each criterion layer index, and the objective weight importance coefficient of each criterion layer index includes:
determining the criterion layer index combination weight by the following formula:
ws＝{wsi|1≤i≤n}；
wo＝{woi|1≤i≤n}；
Figure BDA0003105338420000031
wherein, wsExpressing the subjective weight of the criterion layer index, woRepresenting the objective weight, w, of the criterion layer indexsiSubjective weight, w, representing the i-th criterion level indexoiAn objective weight representing an ith criterion layer index, n represents the number of the criterion layer indexes, and n is 4, wiA criterion layer index weight, alpha, representing the ith criterion layer indexiA subjective weight importance coefficient, β, representing the indicator of the ith criterion layeriThe objective weight importance coefficient representing the ith criterion layer index;
and determining the combination weight of the criterion layer indexes according to the criterion layer index weights of the n criterion layer indexes.
The second aspect of the present application discloses a comprehensive evaluation device based on an alternative technology for a regional terminal, which is applied to the comprehensive evaluation method based on an alternative technology for a regional terminal disclosed in the first aspect of the present application, and the comprehensive evaluation device based on an alternative technology for a regional terminal includes:
the influence relation matrix construction module is used for acquiring preset influence relations among the energy efficiency index, the reliability index, the economic index and the environmental protection index in the criterion layer indexes and determining a criterion layer influence relation matrix;
the criterion layer judgment matrix construction module is used for determining an energy efficiency judgment matrix by taking the energy efficiency index as a reference according to the criterion layer influence relation matrix, determining a reliability judgment matrix by taking the reliability index as a reference according to the criterion layer influence relation matrix, determining an economic judgment matrix by taking the economic index as a reference according to the criterion layer influence relation matrix, and determining an environmental protection judgment matrix by taking the environmental protection index as a reference according to the criterion layer influence relation matrix;
the normalized eigenvector determining module is used for determining the normalized eigenvector of the energy efficiency performance according to the energy efficiency performance judging matrix, determining the normalized eigenvector of the reliability according to the reliability judging matrix, determining the normalized eigenvector of the economy according to the economy judging matrix, and determining the normalized eigenvector of the environmental protection performance according to the environmental protection performance judging matrix;
the direct influence matrix construction module is used for determining a direct influence matrix according to the energy efficiency normalized eigenvector, the reliability normalized eigenvector, the economy normalized eigenvector and the environmental protection normalized eigenvector;
the subjective weight acquisition module is used for solving the limit of the direct influence matrix and determining the subjective weight of the index of the criterion layer;
the objective weight acquisition module is used for determining the objective weight of the criterion layer index according to preset criterion layer index reference data;
the criterion layer index weight determining module is used for determining criterion layer index combination weight according to the criterion layer index subjective weight and the criterion layer index objective weight;
the index layer index weight determining module is used for determining the index weight of the index layer according to preset index layer index reference data;
the fuzzy relation matrix construction module is used for determining each index fuzzy relation matrix according to a preset grading criterion and a preset grading function;
the index evaluation result generation module is used for determining the comprehensive evaluation result of each index according to the index weight of the index layer and the fuzzy relation matrix of each index;
and the comprehensive evaluation result generation module is used for determining the comprehensive evaluation result of the replaceable technology for the regional terminal according to the criterion layer index combination weight and the comprehensive evaluation result of each index.
Optionally, the criterion layer index weight determining module includes:
the important coefficient acquisition unit is used for determining the subjective weight important coefficient of each criterion layer index and the objective weight important coefficient of each criterion layer index according to the criterion layer index subjective weight and the criterion layer index objective weight;
and the criterion layer index weight determining unit is used for determining the criterion layer index combination weight according to the criterion layer index subjective weight, the criterion layer index objective weight, the subjective weight importance coefficient of each criterion layer index and the objective weight importance coefficient of each criterion layer index.
Optionally, the index layer index weight determining module includes:
the index layer judgment matrix construction unit is used for determining an index layer judgment matrix according to the preset index layer index reference data;
a reference sequence determining unit, configured to obtain a maximum value in each column in the index layer determination matrix, and determine an index layer reference sequence according to the maximum value in each column in the index layer determination matrix;
the index layer to-be-processed weight obtaining unit is used for obtaining the distance between each column in the index layer judgment matrix and the index layer reference sequence and determining the index to-be-processed weight of the index layer according to the distance;
and the index layer index weight determining unit is used for determining the index weight of the index layer according to the index layer index to-be-processed weight.
Optionally, the index evaluation result generating module includes:
the index fuzzy relation matrix comprises an energy efficiency fuzzy relation matrix, a reliability fuzzy relation matrix, an economic fuzzy relation matrix and an environmental protection fuzzy relation matrix;
each index evaluation result obtaining unit is used for determining an evaluation result of the area terminal in terms of the energy efficiency performance of the substitutable technology according to the index layer index weight and the energy efficiency fuzzy relationship matrix, determining an evaluation result of the area terminal in terms of the reliability of the substitutable technology according to the index layer index weight and the reliability fuzzy relationship matrix, determining an evaluation result of the area terminal in terms of the economy of the substitutable technology according to the index layer index weight and the economy fuzzy relationship matrix, and determining an evaluation result of the area terminal in terms of the environment protection of the substitutable technology according to the index layer index weight and the environment protection fuzzy relationship matrix;
and the index evaluation result determining unit is used for determining the comprehensive evaluation result of each index according to the evaluation result of the area terminal replaceable technology in terms of energy efficiency, the evaluation result of the area terminal replaceable technology in terms of reliability, the evaluation result of the area terminal replaceable technology in terms of economy and the evaluation result of the area terminal replaceable technology in terms of environmental protection.
Optionally, the criterion layer index weight determining unit is configured to determine the criterion layer index combination weight according to the following formula:
ws＝{wsi|1≤i≤n}；
wo＝{woi|1≤i≤n}；
Figure BDA0003105338420000051
wherein, wsExpressing the subjective weight of the criterion layer index, woRepresenting the objective weight, w, of the criterion layer indexsiSubjective weight, w, representing the i-th criterion level indexoiAn objective weight representing an ith criterion layer index, n represents the number of the criterion layer indexes, and n is 4, wiRepresenting the ith criterion layer fingerTarget criterion layer index weight, αiA subjective weight importance coefficient, β, representing the indicator of the ith criterion layeriThe objective weight importance coefficient representing the ith criterion layer index;
and determining the combination weight of the criterion layer indexes according to the criterion layer index weights of the n criterion layer indexes.
The application relates to the technical field of economic assessment, and discloses a comprehensive assessment method and device based on a regional terminal replaceable technology. In the method, firstly, subjective weight and objective weight of criterion layer indexes are respectively determined, and the subjective weight and the objective weight of the criterion layer indexes are combined to determine the combination weight of the criterion layer indexes. An index layer index weight is then determined. And finally, according to the criterion layer index combination weight and the index layer index weight, further combining each index fuzzy relation matrix to determine the comprehensive evaluation result of the replaceable technology for the regional terminal. According to the method and the device, the subjective weight and the objective weight of the index of the criterion layer are scientifically and effectively combined, and finally the final comprehensive evaluation result is determined by combining the combined weight of the index of the criterion layer and the index weight of the index layer, so that the technical problem that in the prior art, the weights of all indexes of the criterion layer are weighted only by experts according to own experience in the field, and the final evaluation result is inaccurate due to the fact that more subjective factors exist is solved.
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In order to more clearly explain the technical solution of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious to those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic workflow diagram of a comprehensive evaluation method based on regional terminal replaceable technology according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a comprehensive evaluation device capable of replacing technologies based on a regional terminal according to an embodiment of the present application.
Detailed Description
In order to solve the technical problem that in the prior art, weights of indexes of a criterion layer are weighted only by experts in the field according to own experience, and final evaluation results are inaccurate due to the fact that a plurality of subjective factors exist, the application discloses a comprehensive evaluation method and a comprehensive evaluation device based on a regional terminal replaceable technology through the following two embodiments.
A first embodiment of the present application discloses a comprehensive assessment method based on an area terminal substitutable technology, referring to a workflow diagram shown in fig. 1, the comprehensive assessment method based on an area terminal substitutable technology includes:
step S101, obtaining preset influence relations among energy efficiency indexes, reliability indexes, economic indexes and environmental protection indexes in the indexes of the criterion layer, and determining an influence relation matrix of the criterion layer.
With C1,C2,…,CnN indexes in the criterion layer are shown, and the parameter in the weight matrix is the criterion layer index Cj(j ≠ i) and CiRatio y ofjiAnd (4) forming, representing the importance degree between the two criterion layer indexes. Are respectively provided with Ci(i is 1,2, …, n) as reference, the diagonal parameter of each weight matrix is 1, and the rest parameters are represented by CiAnd other criteria layer indexes. Then obtaining the compound represented by formula CiNormalized feature vector as a basis, i.e.
Figure BDA0003105338420000061
Weight matrix WRightsThe specific formula of (A) is as follows:
Figure BDA0003105338420000062
combining the weight vectors obtained by each criterion layer to finally obtain a judgment matrix W under each criterionqComprises the following steps:
Figure BDA0003105338420000063
according to weight momentArray WqA direct impact matrix is constructed. Because the association between each criterion and the criterion is not considered, the weight vectors under all the criteria are synthesized into weights, the diagonal line of the matrix is filled with 0 to show that the elements do not have direct influence on the matrix, and then the direct influence matrix W can be obtaineddThe following are:
Figure BDA0003105338420000064
specifically, in the present embodiment, C is used respectively1、C2、C3And C4And 4 standard layer indexes representing energy efficiency indexes, reliability indexes, economic indexes and environmental protection indexes. And judging the influence relations among the 4 criterion layer indexes pairwise and forming a criterion layer influence relation matrix, wherein the influence relations are determined according to a large amount of actual field data. And (3) expressing an evaluation result by using 5 levels of minimum influence, small influence, medium influence, large influence and maximum influence by adopting a 1-5 scaling method, and respectively using 5 numerical values 1, 3, 5, 7 and 9 to correspond to the evaluation result so as to obtain a rule layer influence relation matrix.
For ease of understanding, some steps of the present embodiment will be illustrated using a specific example.
Illustratively, the criterion layer influence relationship matrix is specifically shown in table 1:
TABLE 1
Scale C1 C2 C3 C4
C1 / 1 7 7
C2 3 / 5 3
C3 5 3 / 3
C4 3 3 5 /
Step S102, determining an energy efficiency judgment matrix by taking the energy efficiency index as a reference according to the criterion layer influence relation matrix, determining a reliability judgment matrix by taking the reliability index as a reference according to the criterion layer influence relation matrix, determining an economy judgment matrix by taking the economy index as a reference according to the criterion layer influence relation matrix, and determining an environment protection judgment matrix by taking the environment protection index as a reference according to the criterion layer influence relation matrix.
And establishing a judgment matrix under each criterion layer.
Step S103, determining an energy efficiency normalization eigenvector according to the energy efficiency judgment matrix, determining a reliability normalization eigenvector according to the reliability judgment matrix, determining an economy normalization eigenvector according to the economy judgment matrix, and determining an environment normalization eigenvector according to the environment judgment matrix.
And solving the characteristic vector and carrying out normalization processing.
For example, the energy efficiency performance determination matrix and the reliability normalized feature vector are shown in table 2:
TABLE 2
With C1Is a guideline C2 C3 C4 Normalized feature vector
C2 1 3/5 3/3 0.2727
C3 5/3 1 5/3 0.4545
C4 3/3 3/5 1 0.2727
The reliability determination matrix and the eigenvector are shown in table 3:
TABLE 3
With C2Is a guideline C1 C3 C4 Normalized feature vector
C1 1 1/3 1/3 0.1429
C3 3/1 1 3/3 0.4286
C4 3/1 3/3 1 0.4286
The economic judgment matrix and the eigenvector are shown in table 4:
TABLE 4
With C3Is a guideline C1 C2 C4 Normalized feature vector
C1 1 7/5 7/5 0.4118
C2 5/7 1 5/5 0.2941
C4 5/7 5/5 1 0.2941
The environment-friendly judgment matrix and the feature vector are shown in table 5:
TABLE 5
With C4Is a guideline C1 C2 C4 Normalized feature vector
C1 1 7/3 7/3 0.5358
C2 3/7 1 3/3 0.2308
C4 3/7 3/3 1 0.2308
And step S104, determining a direct influence matrix according to the energy efficiency normalized eigenvector, the reliability normalized eigenvector, the economy normalized eigenvector and the environmental protection normalized eigenvector.
Assigning the diagonal of the influence matrix to be 0 by combining the energy efficiency normalized eigenvector, the reliability normalized eigenvector, the economy normalized eigenvector and the environment-friendly normalized eigenvector to obtain a direct influence matrix Wd。
Illustratively, referring to tables 2, 3, 4 and 5, the matrix W is directly affecteddComprises the following steps:
Figure BDA0003105338420000081
and step S105, calculating the limit of the direct influence matrix, and determining the subjective weight of the criterion layer index.
By making a pair of WdObtaining the limit to determine the subjective weight W of the criterion layer indexsExemplary, specifically determined criterion layer index subjective weight WsAs shown in the following formula:
Ws＝[0.2731 0.2109 0.2712 0.2448]；
and step S106, determining the objective weight of the criterion layer index according to preset criterion layer index reference data.
Assuming that the evaluation results of the regional terminal multi-energy-source alternative technology are m, on the premise of considering all influence factors of an energy efficiency index, a reliability index, an economic index and an environmental protection index, the evaluation result is the final result of fuzzy evaluation of the regional terminal energy-using alternative technology, and the summary of each evaluation resultThe ratio is defined as Pk(k 1, 2.. times, m), where the inverse entropy solving equation is:
Figure BDA0003105338420000082
wherein the content of the first and second substances,
Figure BDA0003105338420000083
the difference of the indexes of the criterion layer is in direct proportion to the inverse entropy value and the weight coefficient.
In this embodiment, the evaluation order is selected to be five, that is, m is 5, that is, the evaluation results of the area terminal multi-energy-source replacement technology are 5, specifically good, general, poor and bad.
Assuming that there are l sets of criterion layer index reference weights (Pro1, Pro 2.. once, proc.. once, and Prol) in the criterion layer index reference data, X ═ X (X)iz)n×lIs a matrix of criterion layer index evaluations, where xiz(i 1, 2.. n; z 1, 2.. l) refers to the weight of the ith criterion layer index in the z-th set of criterion layer index reference weights.
Specifically, the entropy values of the criteria layer indexes are determined first, and the specific formula is as follows:
Figure BDA0003105338420000084
Figure BDA0003105338420000085
then, the objective weight W of the criterion layer is obtainedoThe concrete formula is as follows:
Figure BDA0003105338420000086
the criterion layer index reference data is determined according to a large amount of actual data on site.
Illustratively, according to the criterion layer index reference data, 10 sets of criterion layer index reference weights are determined, as shown in table 6:
TABLE 6
Layer of criteria Pro1 Pro2 Pro3 Pro4 Pro5 Pro6 Pro7 Pro8 Pro9 Pro10
Energy efficiency 0.4 0.35 0.4 0.35 0.38 0.36 0.37 0.39 0.4 0.37
Reliability of 0.18 0.22 0.18 0.2 0.19 0.22 0.2 0.18 0.21 0.2
Economy of use 0.28 0.26 0.27 0.29 0.25 0.27 0.27 0.28 0.27 0.28
Environmental protection property 0.14 0.17 0.15 0.16 0.18 0.15 0.16 0.15 0.12 0.15
The objective weight W of the index of the criterion layer obtained from Table 6oAs shown in the following formula:
w0＝[0.2493 0.2501 0.2491 0.2515]T；
and S107, determining the combination weight of the criterion layer indexes according to the subjective weight of the criterion layer indexes and the objective weight of the criterion layer indexes.
Further, the determining a criterion layer index combination weight according to the criterion layer index subjective weight and the criterion layer index objective weight includes:
and determining the subjective weight important coefficient of each criterion layer index and the objective weight important coefficient of each criterion layer index according to the criterion layer index subjective weight and the criterion layer index objective weight.
Specifically, the subjective weight importance coefficient and the objective weight importance coefficient of each criterion layer index are calculated and obtained by combining the basic idea of the moment estimation theory, and the specific formula is as follows:
Figure BDA0003105338420000091
wherein alpha isiA subjective weight importance coefficient, β, representing the indicator of the ith criterion layeriThe objective weight importance coefficient, w, representing the i-th criterion layer indexsiSubjective weight, w, representing the i-th criterion level indexoiThe objective weight representing the i-th criterion layer index.
And determining the criterion layer index combination weight according to the criterion layer index subjective weight, the criterion layer index objective weight, the subjective weight important coefficient of each criterion layer index and the objective weight important coefficient of each criterion layer index.
Further, the determining the criterion layer index combination weight according to the criterion layer index subjective weight, the criterion layer index objective weight, the subjective weight importance coefficient of each criterion layer index and the objective weight importance coefficient of each criterion layer index includes:
determining the criterion layer index combination weight by the following formula:
ws＝{wsi|1≤i≤n}；
wo＝{woi|1≤i≤n}；
Figure BDA0003105338420000092
wherein, wsExpressing the subjective weight of the criterion layer index, woRepresenting the objective weight, w, of the criterion layer indexsiSubjective weight, w, representing the i-th criterion level indexoiAn objective weight representing an ith criterion layer index, n represents the number of the criterion layer indexes, and n is 4, wiA criterion layer index weight, alpha, representing the ith criterion layer indexiA subjective weight importance coefficient, β, representing the indicator of the ith criterion layeriThe objective weight importance coefficient representing the ith criterion layer index.
And determining the combination weight of the criterion layer indexes according to the criterion layer index weights of the n criterion layer indexes.
Illustratively, the combined weights of the criteria-level metrics calculated in this example are:
w＝[0.2610 0.2315 0.2599 0.2475]T；
and step S108, determining index weight of the index layer according to preset index layer index reference data.
Further, the determining the index weight of the index layer according to the preset index reference data of the index layer includes:
and determining an index layer judgment matrix according to the preset index reference data of the index layer.
Specifically, the index layer index reference data is determined according to a large amount of data actually in the field, and assuming that the index layer index reference data has a common l 'group (P1, P2, P3...., Pk...., Pl'), the index layer judgment matrix X is as follows:
X＝[X1,X2,...,Xn′]T；
Figure BDA0003105338420000101
wherein n' represents the number of indexes of the index layer, xl′kThe i ' (i ' ═ 1, 2.·, n ') th index layer index weight in the k-th set of index layer index reference data is represented.
And acquiring the maximum value in each column in the index layer judgment matrix, and determining an index layer reference sequence according to the maximum value in each column in the index layer judgment matrix.
Specifically, according to the constructed index layer judgment matrix X, the maximum value of each column of X is selected to form a reference sequence X0The specific formula is as follows:
X0＝[x01,x02,...,x0l′]；
and acquiring the distance between each column in the index layer judgment matrix X and the index layer reference sequence, and determining the index to-be-processed weight of the index layer according to the distance.
Specifically, each column X in the index layer determination matrix X is evaluated1，X2，...，Xn′And reference sequence X0The specific formula of (c) is as follows:
Figure BDA0003105338420000102
then, determining the index to-be-processed weight of the index layer according to the following formula:
wto be i'＝1/(1+D0i′)；
And determining the index weight of the index layer according to the index layer index to-be-processed weight.
Specifically, by the following formulaDetermining the index layer index weight
Figure BDA0003105338420000111
Figure BDA0003105338420000112
For example, in the index layer index reference data, each index reference data in the energy efficiency index is shown in table 7:
TABLE 7
Figure BDA0003105338420000113
The reference data of each index in the reliability index is shown in table 8:
TABLE 8
Figure BDA0003105338420000114
The reference data of each index in the economic indicators are shown in table 9:
TABLE 9
Figure BDA0003105338420000115
The reference data of each index in the environmental protection index is shown in table 10:
watch 10
Figure BDA0003105338420000116
According to table 7, table 8, table 9 and table 10, the index weights of the index layers are solved, in some embodiments of the present application, the index weights of the criterion layers are further multiplied by the index weights of the index layers, so as to obtain each reference weight in the area terminal replaceable technology, which is specifically shown in table 11:
TABLE 11
Figure BDA0003105338420000121
As can be seen from table 11, the energy efficiency index has the greatest weight of 0.2610 and the lowest economic efficiency of 0.2599 among the index weights of the respective criteria layers, and the description will be given for the area terminal alternative technology with first paying attention to the use of energy and the greatest benefit will be obtained when energy efficiency is ensured. The reliability and the environmental protection are similar in weight, and the environmental protection is slightly higher than the reliability. Comparing the reference weight of the substitutable technology for the terminal of the whole area, wherein the weight of the return period of the investment is the largest and is 0.0815, which shows that the terminal of the area gives more importance to the return speed of the investment by the substitutable technology.
And step S109, determining each index fuzzy relation matrix according to a preset grading criterion and a preset grading function.
Specifically, the scoring criterion and the scoring function are preset according to the actual situation of the area terminal replaceable technology, and the scoring function is obtained by fitting according to historical data through software. And establishing an index set according to the indexes of the criterion layer, and establishing a comment set according to the evaluation result of the regional terminal multi-energy substitution technology. According to the scoring criterion, scoring is carried out by combining the scoring function, fuzzification vectors of all indexes are formed according to the fuzzy membership function, and finally a corresponding fuzzy relation matrix is obtained, wherein the fuzzy relation matrix is specifically shown as the following formula:
Figure BDA0003105338420000122
wherein r isivI is the degree of membership of the ith element of the index set to the v-th comment of the comment set, i is 1,2, …, n, v is 1, 2.
Illustratively, among the scoring criteria, the energy efficiency scoring criteria are shown in table 12:
TABLE 12
Figure BDA0003105338420000123
Figure BDA0003105338420000131
The reliability scoring criteria are shown in table 13:
watch 13
Figure BDA0003105338420000132
The economic scoring criteria are shown in table 14:
TABLE 14
Figure BDA0003105338420000133
The environmental protection scoring criteria are shown in table 15:
watch 15
Figure BDA0003105338420000134
Figure BDA0003105338420000141
And step S110, determining a comprehensive evaluation result of each index according to the index weight of the index layer and the fuzzy relation matrix of each index.
Further, the determining a comprehensive evaluation result of each index according to the index weight of the index layer and the fuzzy relation matrix of each index includes:
the fuzzy relation matrix R of each index comprises an energy efficiency fuzzy relation matrix RnxReliability fuzzy relation matrix RkkEconomic fuzzy relation matrix RjjAnd an environment-friendly fuzzy relation matrix Rhb。
Exemplary, based on fuzzy membershipEnergy efficiency fuzzy relation matrix R obtained by functionnxAs shown in the following formula:
Figure BDA0003105338420000142
reliability fuzzy relation matrix R obtained based on fuzzy membership functionkkAs shown in the following formula:
Figure BDA0003105338420000143
economic fuzzy relation matrix R obtained based on fuzzy membership functionjjAs shown in the following formula:
Figure BDA0003105338420000144
environment-friendly fuzzy relation matrix R obtained based on fuzzy membership functionhbAs shown in the following formula:
Figure BDA0003105338420000145
according to the index layer index weight and the energy efficiency fuzzy relation matrix, determining an evaluation result of the area terminal in terms of the energy efficiency of the alternative technology, according to the index layer index weight and the reliability fuzzy relation matrix, determining an evaluation result of the area terminal in terms of the reliability of the alternative technology, according to the index layer index weight and the economy fuzzy relation matrix, determining an evaluation result of the area terminal in terms of the economy of the alternative technology, and according to the index layer index weight and the environment-friendly fuzzy relation matrix, determining an evaluation result of the area terminal in terms of the environment-friendly performance of the alternative technology.
Based on the index weights of the index layers obtained in step S108, and in combination with the fuzzy relation matrix of each index, a fuzzy comprehensive operation is performed, and a specific formula is shown as follows:
Figure BDA0003105338420000151
wherein the content of the first and second substances,
Figure BDA0003105338420000152
the fuzzy operator is represented, and the fuzzy comprehensive operation is performed by adopting the weighted average fuzzy operator in the embodiment, so that the comprehensive influence of different indexes on the evaluation is considered.
From the above, the final fuzzy evaluation vector is a 5-dimensional vector, i.e., B ═ B1,b2,...,b5). According to the principle of maximum membership, if bv0＝maxbv(1. ltoreq. v. ltoreq.m) and the evaluation result is in v0On the comment, the comprehensive evaluation result of each index can be obtained.
Illustratively, in the comprehensive evaluation result of each index, the energy efficiency performance fuzzy evaluation result R'nxAs shown in the following formula:
Figure BDA0003105338420000153
the above calculation is a fuzzy comprehensive evaluation result in the aspect of energy efficiency of the area terminal replaceable technology: the degree of membership for "good" was 62.87%, the degree of membership for "good" was 27.7%, the degree of membership for "general" was 9.43%, the degree of membership for "poor" was 0, and the degree of membership for "poor" was 0. According to the maximum membership principle, 0.6287 is the largest among 5 membership degrees in fuzzy comprehensive evaluation of energy efficiency of the energy substitution technology for the area terminal, the evaluation result is 'good', and the energy efficiency of the energy substitution technology for the area terminal is 'good'.
Reliability fuzzy evaluation result R'kkAs shown in the following formula:
Figure BDA0003105338420000154
the above calculation is a fuzzy comprehensive evaluation result for the area terminal which can replace the technical reliability: the degree of membership for "good" is 22.88%, the degree of membership for "good" is 65.21%, the degree of membership for "general" is 11.63%, the degree of membership for "poor" is 0, and the degree of membership for "very poor" is 0. According to the maximum membership principle, 0.6521 is the largest among 5 membership degrees in fuzzy comprehensive evaluation of the reliability of the substitutable technology for the regional terminal, the evaluation result is 'better', and the reliability of the substitutable technology for the regional terminal is 'better'.
Economic fuzzy evaluation result R'jjAs shown in the following formula:
Figure BDA0003105338420000155
the above calculation is a fuzzy comprehensive evaluation result for the area terminal which can replace the technical economy: the degree of membership for "good" is 55.72%, the degree of membership for "good" is 44.29%, the degree of membership for "normal" is 0, the degree of membership for "poor" is 0, and the degree of membership for "very poor" is 0. According to the maximum membership principle, 0.5572 is the largest among 5 membership degrees in the economic fuzzy comprehensive evaluation of the replaceable technology for the area terminal, the evaluation result is 'good', and the fact that the replaceable technology for the area terminal has 'good' economic benefit is shown.
Environmental protection fuzzy evaluation result R'hbAs shown in the following formula:
Figure BDA0003105338420000161
the above calculation is a result of fuzzy comprehensive evaluation that the area terminal can replace the technical environmental protection: the degree of membership for "good" is 20.1%, the degree of membership for "good" is 79.9%, the degree of membership for "general" is 0, the degree of membership for "poor" is 0, and the degree of membership for "very poor" is 0. According to the maximum membership principle, in the fuzzy comprehensive evaluation of the environment protection performance of the replaceable technology for the area terminal, 0.799 of 5 membership degrees is the largest, the evaluation result is 'better', and the situation that the environment protection performance of the replaceable technology for the area terminal is 'better' is shown.
And determining the comprehensive evaluation result of each index according to the evaluation result of the area terminal alternative technology in terms of energy efficiency, the evaluation result of the area terminal alternative technology in terms of reliability, the evaluation result of the area terminal alternative technology in terms of economy and the evaluation result of the area terminal alternative technology in terms of environmental protection.
And step S111, determining the comprehensive evaluation result of the replaceable technology for the regional terminal according to the criterion layer index combination weight and the comprehensive evaluation result of each index.
Illustratively, the synchronization step S110, the result R of the comprehensive evaluation of the regional terminal by the alternative techniquezhAs follows:
Figure BDA0003105338420000162
the above calculation is a comprehensive evaluation result of the area terminal replaceable technology: the degree of membership for "good" is 41.16%, the degree of membership for "good" is 53.61%, the degree of membership for "general" is 5.15%, the degree of membership for "poor" is 0, and the degree of membership for "poor" is 0. According to the maximum membership principle, 0.5361 is the largest among 5 membership degrees in fuzzy comprehensive evaluation of the substitutable technology for the regional terminal, the evaluation result is 'better', and the substitutable technology for the regional terminal has 'better' comprehensive performance.
The comprehensive evaluation method based on the replaceable technology for the regional terminal disclosed by the embodiment of the application comprises the steps of firstly respectively determining the subjective weight and the objective weight of the criterion layer index, and combining the subjective weight and the objective weight of the criterion layer index to determine the combined weight of the criterion layer index. An index layer index weight is then determined. And finally, according to the criterion layer index combination weight and the index layer index weight, further combining each index fuzzy relation matrix to determine the comprehensive evaluation result of the replaceable technology for the regional terminal. According to the method and the device, the subjective weight and the objective weight of the index of the criterion layer are scientifically and effectively combined, and finally the final comprehensive evaluation result is determined by combining the combined weight of the index of the criterion layer and the index weight of the index layer, so that the technical problem that in the prior art, the weights of all indexes of the criterion layer are weighted only by experts according to own experience in the field, and the final evaluation result is inaccurate due to the fact that more subjective factors exist is solved.
The following are embodiments of the apparatus of the present application that may be used to perform embodiments of the method of the present application. For details which are not disclosed in the embodiments of the apparatus of the present application, reference is made to the embodiments of the method of the present application.
The second embodiment of the present application discloses a comprehensive assessment device based on an area terminal replaceable technology, which is applied to a comprehensive assessment method based on an area terminal replaceable technology disclosed in the first embodiment of the present application, and referring to a schematic structural diagram shown in fig. 2, the comprehensive assessment device based on an area terminal replaceable technology includes:
the influence relationship matrix building module 201 is configured to obtain a preset influence relationship among an energy efficiency index, a reliability index, an economic index, and an environmental protection index in the criteria layer index, and determine a criteria layer influence relationship matrix.
A criterion layer judgment matrix construction module 202, configured to determine an energy efficiency judgment matrix according to the criterion layer influence relationship matrix and based on the energy efficiency index, determine a reliability judgment matrix according to the criterion layer influence relationship matrix and based on the reliability index, determine an economic judgment matrix according to the criterion layer influence relationship matrix and based on the economic index, and determine an environmental protection judgment matrix according to the criterion layer influence relationship matrix and based on the environmental protection index.
The normalized eigenvector determining module 203 is configured to determine an energy efficiency normalized eigenvector according to the energy efficiency judgment matrix, determine a reliability normalized eigenvector according to the reliability judgment matrix, determine an economic normalized eigenvector according to the economic judgment matrix, and determine an environmental normalized eigenvector according to the environmental judgment matrix.
A direct influence matrix constructing module 204, configured to determine a direct influence matrix according to the energy efficiency normalized eigenvector, the reliability normalized eigenvector, the economy normalized eigenvector, and the environment-friendly normalized eigenvector.
And a subjective weight obtaining module 205, configured to obtain a limit for the direct influence matrix, and determine a subjective weight of a criterion layer index.
The objective weight obtaining module 206 is configured to determine an objective weight of a criterion layer index according to preset criterion layer index reference data.
And the criterion layer index weight determining module 207 is used for determining the criterion layer index combination weight according to the criterion layer index subjective weight and the criterion layer index objective weight.
Further, the criterion layer index weight determination module 207 includes:
and the important coefficient acquisition unit is used for determining the subjective weight important coefficient of each criterion layer index and the objective weight important coefficient of each criterion layer index according to the subjective weight of the criterion layer index and the objective weight of the criterion layer index.
And the criterion layer index weight determining unit is used for determining the criterion layer index combination weight according to the criterion layer index subjective weight, the criterion layer index objective weight, the subjective weight importance coefficient of each criterion layer index and the objective weight importance coefficient of each criterion layer index.
Further, the criterion layer index weight determination unit is configured to determine the criterion layer index combination weight by the following formula:
ws＝{wsi|1≤i≤n}；
wo＝{woi|1≤i≤n}；
Figure BDA0003105338420000171
wherein, wsExpressing the subjective weight of the criterion layer index, woPresentation instrumentObjective weight of the criterion layer index, wsiSubjective weight, w, representing the i-th criterion level indexoiAn objective weight representing an ith criterion layer index, n represents the number of the criterion layer indexes, and n is 4, wiA criterion layer index weight, alpha, representing the ith criterion layer indexiA subjective weight importance coefficient, β, representing the indicator of the ith criterion layeriThe objective weight importance coefficient representing the ith criterion layer index.
And determining the combination weight of the criterion layer indexes according to the criterion layer index weights of the n criterion layer indexes.
And an index layer index weight determining module 208, configured to determine an index layer index weight according to preset index layer index reference data.
Further, the index layer index weight determination module 208 includes:
and the index layer judgment matrix construction unit is used for determining an index layer judgment matrix according to the preset index layer index reference data.
And the reference sequence determining unit is used for acquiring the maximum value in each column in the index layer judgment matrix and determining the reference sequence of the index layer according to the maximum value in each column in the index layer judgment matrix.
And the index layer to-be-processed weight obtaining unit is used for obtaining the distance between each column in the index layer judgment matrix and the index layer reference sequence and determining the index to-be-processed weight of the index layer according to the distance.
And the index layer index weight determining unit is used for determining the index weight of the index layer according to the index layer index to-be-processed weight.
The fuzzy relation matrix building module 209 is configured to determine a fuzzy relation matrix of each index according to a preset scoring criterion and a preset scoring function.
And an index evaluation result generation module 210, configured to determine a comprehensive evaluation result of each index according to the index layer index weight and the index fuzzy relationship matrix.
Further, the index evaluation result generation module 210 includes:
the index fuzzy relation matrix comprises an energy efficiency fuzzy relation matrix, a reliability fuzzy relation matrix, an economic fuzzy relation matrix and an environmental protection fuzzy relation matrix.
Each index evaluation result obtaining unit is used for determining an evaluation result of the area terminal in terms of the energy efficiency performance of the substitutable technology according to the index layer index weight and the energy efficiency fuzzy relationship matrix, determining an evaluation result of the area terminal in terms of the reliability of the substitutable technology according to the index layer index weight and the reliability fuzzy relationship matrix, determining an evaluation result of the area terminal in terms of the economy of the substitutable technology according to the index layer index weight and the economy fuzzy relationship matrix, and determining an evaluation result of the area terminal in terms of the environment protection of the substitutable technology according to the index layer index weight and the environment protection fuzzy relationship matrix.
And the index evaluation result determining unit is used for determining the comprehensive evaluation result of each index according to the evaluation result of the area terminal replaceable technology in terms of energy efficiency, the evaluation result of the area terminal replaceable technology in terms of reliability, the evaluation result of the area terminal replaceable technology in terms of economy and the evaluation result of the area terminal replaceable technology in terms of environmental protection.
And a comprehensive evaluation result generating module 211, configured to determine a comprehensive evaluation result of the replaceable technology for the regional terminal according to the criterion layer index combination weight and the comprehensive evaluation result of each index.
The present application has been described in detail with reference to specific embodiments and illustrative examples, but the description is not intended to limit the application. Those skilled in the art will appreciate that various equivalent substitutions, modifications or improvements may be made to the presently disclosed embodiments and implementations thereof without departing from the spirit and scope of the present disclosure, and these fall within the scope of the present disclosure. The protection scope of this application is subject to the appended claims.

Claims (10)

1. A comprehensive evaluation method based on area terminal replaceable technology is characterized by comprising the following steps:
acquiring a preset influence relation among an energy efficiency index, a reliability index, an economic index and an environmental protection index in the indexes of the criterion layer, and determining an influence relation matrix of the criterion layer;
determining an energy efficiency judgment matrix by taking the energy efficiency index as a reference according to the criterion layer influence relation matrix, determining a reliability judgment matrix by taking the reliability index as a reference according to the criterion layer influence relation matrix, determining an economic judgment matrix by taking the economic index as a reference according to the criterion layer influence relation matrix, and determining an environmental protection judgment matrix by taking the environmental protection index as a reference according to the criterion layer influence relation matrix;
determining an energy efficiency normalization eigenvector according to the energy efficiency judgment matrix, determining a reliability normalization eigenvector according to the reliability judgment matrix, determining an economy normalization eigenvector according to the economy judgment matrix, and determining an environment-friendly normalization eigenvector according to the environment-friendly judgment matrix;
determining a direct influence matrix according to the energy efficiency normalized eigenvector, the reliability normalized eigenvector, the economy normalized eigenvector and the environmental protection normalized eigenvector;
calculating a limit of the direct influence matrix, and determining a subjective weight of a criterion layer index;
determining the objective weight of the index of the criterion layer according to preset reference data of the index of the criterion layer;
determining a criterion layer index combination weight according to the criterion layer index subjective weight and the criterion layer index objective weight;
determining index weight of an index layer according to preset index layer index reference data;
determining a fuzzy relation matrix of each index according to a preset grading criterion and a preset grading function;
determining a comprehensive evaluation result of each index according to the index weight of the index layer and the fuzzy relation matrix of each index;
and determining the comprehensive evaluation result of the replaceable technology for the regional terminal according to the criterion layer index combination weight and the comprehensive evaluation result of each index.
2. The method for comprehensive evaluation based on regional terminal replaceable technology according to claim 1, wherein the determining the criterion layer index combination weight according to the criterion layer index subjective weight and the criterion layer index objective weight comprises:
determining a subjective weight importance coefficient of each criterion layer index and an objective weight importance coefficient of each criterion layer index according to the criterion layer index subjective weight and the criterion layer index objective weight;
and determining the criterion layer index combination weight according to the criterion layer index subjective weight, the criterion layer index objective weight, the subjective weight important coefficient of each criterion layer index and the objective weight important coefficient of each criterion layer index.
3. The method for comprehensive evaluation based on regional terminal replaceable technology according to claim 1, wherein the determining the index weight of the index layer according to the preset index reference data of the index layer comprises:
determining an index layer judgment matrix according to the preset index layer index reference data;
acquiring the maximum value in each column in the index layer judgment matrix, and determining an index layer reference sequence according to the maximum value in each column in the index layer judgment matrix;
acquiring the distance between each column in the index layer judgment matrix and the index layer reference sequence, and determining the weight to be processed of the index layer according to the distance;
and determining the index weight of the index layer according to the index layer index to-be-processed weight.
4. The method for comprehensive evaluation based on regional terminal replaceable technology according to claim 1, wherein the determining the comprehensive evaluation result of each index according to the index weight of the index layer and the fuzzy relation matrix of each index comprises:
the index fuzzy relation matrix comprises an energy efficiency fuzzy relation matrix, a reliability fuzzy relation matrix, an economic fuzzy relation matrix and an environmental protection fuzzy relation matrix;
according to the index layer index weight and the energy efficiency fuzzy relation matrix, determining an evaluation result of the area terminal in terms of the energy efficiency of the alternative technology, according to the index layer index weight and the reliability fuzzy relation matrix, determining an evaluation result of the area terminal in terms of the reliability of the alternative technology, according to the index layer index weight and the economy fuzzy relation matrix, determining an evaluation result of the area terminal in terms of the economy of the alternative technology, and according to the index layer index weight and the environment-friendly fuzzy relation matrix, determining an evaluation result of the area terminal in terms of the environment friendliness of the alternative technology;
and determining the comprehensive evaluation result of each index according to the evaluation result of the area terminal alternative technology in terms of energy efficiency, the evaluation result of the area terminal alternative technology in terms of reliability, the evaluation result of the area terminal alternative technology in terms of economy and the evaluation result of the area terminal alternative technology in terms of environmental protection.
5. The method according to claim 2, wherein the determining the criterion layer index combination weight according to the criterion layer index subjective weight, the criterion layer index objective weight, the subjective weight importance coefficient of each criterion layer index, and the objective weight importance coefficient of each criterion layer index comprises:
determining the criterion layer index combination weight by the following formula:
ws＝{wsi|1≤i≤n}；
wo＝{woi|1≤i≤n}；
Figure FDA0003105338410000021
wherein, wsExpressing the subjective weight of the criterion layer index, woRepresenting the objective weight, w, of the criterion layer indexsiSubjective weight, w, representing the i-th criterion level indexoiAn objective weight representing an ith criterion layer index, n represents the number of the criterion layer indexes, and n is 4, wiA criterion layer index weight, alpha, representing the ith criterion layer indexiA subjective weight importance coefficient, β, representing the indicator of the ith criterion layeriThe objective weight importance coefficient representing the ith criterion layer index;
and determining the combination weight of the criterion layer indexes according to the criterion layer index weights of the n criterion layer indexes.
6. An integrated evaluation device based on regional terminal substitutable technology, which is applied to the integrated evaluation method based on regional terminal substitutable technology according to any one of claims 1 to 5, the integrated evaluation device based on regional terminal substitutable technology comprising:
the influence relation matrix construction module is used for acquiring preset influence relations among the energy efficiency index, the reliability index, the economic index and the environmental protection index in the criterion layer indexes and determining a criterion layer influence relation matrix;
the criterion layer judgment matrix construction module is used for determining an energy efficiency judgment matrix by taking the energy efficiency index as a reference according to the criterion layer influence relation matrix, determining a reliability judgment matrix by taking the reliability index as a reference according to the criterion layer influence relation matrix, determining an economic judgment matrix by taking the economic index as a reference according to the criterion layer influence relation matrix, and determining an environmental protection judgment matrix by taking the environmental protection index as a reference according to the criterion layer influence relation matrix;
the normalized eigenvector determining module is used for determining the normalized eigenvector of the energy efficiency performance according to the energy efficiency performance judging matrix, determining the normalized eigenvector of the reliability according to the reliability judging matrix, determining the normalized eigenvector of the economy according to the economy judging matrix, and determining the normalized eigenvector of the environmental protection performance according to the environmental protection performance judging matrix;
the direct influence matrix construction module is used for determining a direct influence matrix according to the energy efficiency normalized eigenvector, the reliability normalized eigenvector, the economy normalized eigenvector and the environmental protection normalized eigenvector;
the subjective weight acquisition module is used for solving the limit of the direct influence matrix and determining the subjective weight of the index of the criterion layer;
the objective weight acquisition module is used for determining the objective weight of the criterion layer index according to preset criterion layer index reference data;
the criterion layer index weight determining module is used for determining criterion layer index combination weight according to the criterion layer index subjective weight and the criterion layer index objective weight;
the index layer index weight determining module is used for determining the index weight of the index layer according to preset index layer index reference data;
the fuzzy relation matrix construction module is used for determining each index fuzzy relation matrix according to a preset grading criterion and a preset grading function;
the index evaluation result generation module is used for determining the comprehensive evaluation result of each index according to the index weight of the index layer and the fuzzy relation matrix of each index;
and the comprehensive evaluation result generation module is used for determining the comprehensive evaluation result of the replaceable technology for the regional terminal according to the criterion layer index combination weight and the comprehensive evaluation result of each index.
7. The comprehensive evaluation device based on regional terminal substitutable technology according to claim 6, wherein the criterion layer index weight determination module comprises:
the important coefficient acquisition unit is used for determining the subjective weight important coefficient of each criterion layer index and the objective weight important coefficient of each criterion layer index according to the criterion layer index subjective weight and the criterion layer index objective weight;
and the criterion layer index weight determining unit is used for determining the criterion layer index combination weight according to the criterion layer index subjective weight, the criterion layer index objective weight, the subjective weight importance coefficient of each criterion layer index and the objective weight importance coefficient of each criterion layer index.
8. The integrated evaluation device based on regional terminal replaceable technology according to claim 6, wherein the index layer index weight determination module comprises:
the index layer judgment matrix construction unit is used for determining an index layer judgment matrix according to the preset index layer index reference data;
a reference sequence determining unit, configured to obtain a maximum value in each column in the index layer determination matrix, and determine an index layer reference sequence according to the maximum value in each column in the index layer determination matrix;
the index layer to-be-processed weight obtaining unit is used for obtaining the distance between each column in the index layer judgment matrix and the index layer reference sequence and determining the index to-be-processed weight of the index layer according to the distance;
and the index layer index weight determining unit is used for determining the index weight of the index layer according to the index layer index to-be-processed weight.
9. The comprehensive evaluation device based on regional terminal substitutable technology according to claim 6, wherein the index evaluation result generation module includes:
the index fuzzy relation matrix comprises an energy efficiency fuzzy relation matrix, a reliability fuzzy relation matrix, an economic fuzzy relation matrix and an environmental protection fuzzy relation matrix;
each index evaluation result obtaining unit is used for determining an evaluation result of the area terminal in terms of the energy efficiency performance of the substitutable technology according to the index layer index weight and the energy efficiency fuzzy relationship matrix, determining an evaluation result of the area terminal in terms of the reliability of the substitutable technology according to the index layer index weight and the reliability fuzzy relationship matrix, determining an evaluation result of the area terminal in terms of the economy of the substitutable technology according to the index layer index weight and the economy fuzzy relationship matrix, and determining an evaluation result of the area terminal in terms of the environment protection of the substitutable technology according to the index layer index weight and the environment protection fuzzy relationship matrix;
and the index evaluation result determining unit is used for determining the comprehensive evaluation result of each index according to the evaluation result of the area terminal replaceable technology in terms of energy efficiency, the evaluation result of the area terminal replaceable technology in terms of reliability, the evaluation result of the area terminal replaceable technology in terms of economy and the evaluation result of the area terminal replaceable technology in terms of environmental protection.
10. The integrated evaluation device based on regional terminal replaceable technology according to claim 7, wherein the criterion layer index weight determination unit is configured to determine the criterion layer index combination weight by the following formula:
ws＝{wsi|1≤i≤n}；
wo＝{woi|1≤i≤n}；
Figure FDA0003105338410000041
wherein, wsExpressing the subjective weight of the criterion layer index, woRepresenting the objective weight, w, of the criterion layer indexsiSubjective weight, w, representing the i-th criterion level indexoiAn objective weight representing an ith criterion layer index, n represents the number of the criterion layer indexes, and n is 4, wiPresentation instrumentThe weight of the i-th criterion layer index, alphaiA subjective weight importance coefficient, β, representing the indicator of the ith criterion layeriThe objective weight importance coefficient representing the ith criterion layer index;
and determining the combination weight of the criterion layer indexes according to the criterion layer index weights of the n criterion layer indexes.
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CN109684689A (en) * 2018-12-12 2019-04-26 云南电网有限责任公司电力科学研究院 A kind of insulating gas comprehensive performance evaluation method of multi-parameter fusion
CN111275303A (en) * 2020-01-15 2020-06-12 云南电网有限责任公司大理供电局 Comprehensive evaluation method and system for voltage reactive power optimization control strategy of active power distribution network
CN111967721A (en) * 2020-07-23 2020-11-20 国电南京自动化股份有限公司 Comprehensive energy system greening level evaluation method and system
CN112766722A (en) * 2021-01-19 2021-05-07 南方电网数字电网研究院有限公司 State evaluation method, device, equipment and medium for area terminal substitution system

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Application publication date: 20210910