CN109191189A - Power sales decontrol lower power customer value assessment method - Google Patents
Power sales decontrol lower power customer value assessment method Download PDFInfo
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Abstract
The invention discloses a kind of power sales of offer to decontrol lower power customer value assessment method, firstly, establishing power customer the value evaluation index system；Later, the weight of two-level index is calculated using Fuzzy AHP；Later, the weight of three-level index is calculated using entropy assessment；Finally, carrying out overall merit to client based on TOPSIS method, by construction weighted normal matrix and the plus-minus ideal solutions of determining scheme, the relative similarity degree between each evaluation object index value and ideal solution is calculated, the opposite higher expression power customer value of exchange premium degree is higher.The present invention establishes power customer the value evaluation index system from enterprise's angle and customer perspective, emphasis has merged added value of the client after power sales relieving in index system, customer value classification results comprehensive analysis client characteristics are finally combined, to provide decision support for the differentiated service of sale of electricity company.
Description
Technical field
The present invention relates to a kind of customer value evaluation methods, decontrol lower power customer value more particularly, to power sales and comment
Valence method.
Background technique
The main thought of traditional power customer value assessment method are as follows: firstly, establishing the finger of power customer value assessment
Mark system；Secondly, to each Index Weights weight；Finally, classifying to customer value.Index body about power customer value assessment
, there are some scattered researchs in system in the world, theoretically and not yet explicitly provides complete index system, also lacks and determining client is discussed
The method of the value evaluation index system.The data for the power customer that existing analysis obtains are limited to some basic informations of client, and
And and not all client contact record all by complete documentation, therefore generated analysis result and inaccurate can react
The problem of it is also extremely limited.The existing evaluation to power customer is mainly based upon electricity sales amount, power selling income, arrearage record etc.
Intuitive data, can not determine target customers according to certain screening criteria, evaluation index not systematic science.Analysis method ratio
It is relatively simple, lack the depth analysis to client, it is difficult to excavate the value of big customer, provide differentiation, personalized service for client.
New electricity changes rear power sales and decontrols, and main market players is gradually developed to multi-subjects from traditional hair electricity main body, visitor
Family value changes.Occur based on power grid to the conventional thought of power customer value assessment and after combining power sales to decontrol
New element building adapts to new electricity and changes the trend that lower power customer the value evaluation index system has become development.
Application publication number is that the application for a patent for invention of CN107481038A discloses a kind of power customer value assessment method,
It will be set as matrix X ∈ Rn × d after initial data standardization in power customer the value evaluation index system, calculates matrix
The characteristic value and feature vector of B obtains the corresponding feature vector V of maximum eigenvalue, enables C=XV, then Rn × 1 C ∈, ties up to 1
Column vector C is clustered, then corresponds to initial data, show that the cluster result of initial data, original data object Xi are divided
Into jth class, the i-th row and if only if vector C is divided into jth class, to realize the classification to client, this method calculating refers to
Target weight proposes that a kind of improved PCA clustering algorithm classifies to power customer value, formulates differentiation for power supply enterprise
Service strategy provides Auxiliary support.Power customer value is evaluated off field however, the patent application is suitable for the electric city of tradition,
The customer value evaluation not being suitable under new electricity changes.
It is a kind of based on random forest analytic approach that application publication number is that the application for a patent for invention of CN107451718A discloses
Large power customers value assessment method, including, the evaluation index for influencing big customer's value assessment is chosen from Electric Power Marketing System；
Classified according to evaluation index of the value relevance to selection；Evaluation index is cleaned；It is extracted from Electric Power Marketing System
Several big customer's value assessment samples are partially used as training sample, and remainder is as test sample；Referred to the evaluation after cleaning
It is denoted as being characterized, according to training sample training Random Forest model；Test sample is inputted into Random Forest model, when output valve
When accuracy rate is greater than threshold value A, which is final big customer's value assessment model；It is commented using big customer's value
Valence model evaluation large power customers value.The invention based on generally acknowledged evaluation result as sample, with random forest analytic approach
Autonomous learning, building and training big customer's value assessment model are carried out, it is finally big with big customer's value assessment model evaluation electric power
Customer value.Power customer value is evaluated off field however, the patent application is suitable for the electric city of tradition, is not suitable for new electricity
Customer value evaluation under changing.
Summary of the invention
In view of this, in view of the deficiencies of the prior art, it is an object of the present invention to provide a kind of power sales to decontrol lower electric power
Customer value evaluation method establishes power customer the value evaluation index system from enterprise's angle and customer perspective, in index body
Emphasis has merged added value of the client after power sales relieving in system, finally combines customer value classification results comprehensive analysis
Client characteristics, to provide decision support for the differentiated service of sale of electricity company.
In order to achieve the above objectives, the invention adopts the following technical scheme:
Power sales decontrol lower power customer value assessment method, comprising the following steps:
Step S1: establishing power customer the value evaluation index system, and power customer the value evaluation index system includes second level
Index and three-level index corresponding with two-level index, and the normalized of index is carried out to quantifiable achievement data, it is right
Not quantifiable achievement data is according to the objective reasonable progress assignment marking of expert；
Step S2, the weight of two-level index is calculated using Fuzzy AHP；
Step S3, the weight of three-level index is calculated using entropy assessment；
Step S4, overall merit is carried out to client based on TOPSIS method, pass through construction weighted normal matrix and determines scheme
Plus-minus ideal solutions, calculate the relative similarity degree between each evaluation object index value and ideal solution, the opposite higher expression of exchange premium degree
Power customer value is higher.
Further, in the step S1, the two-level index includes sale of electricity Economic Contribution, credit situation, manages shape
Condition, power consumption management is horizontal, customer demand side is worth and energy management counseling services.
Further, the corresponding three-level index of the sale of electricity Economic Contribution include year electricity sales amount, average annual sale of electricity electricity price, electricity
Measure growth rate；
The corresponding three-level index of the credit situation includes default electricity use number, promptness rate is paid in the electricity charge, contract is honoured an agreement
Rate and contract deviation electricity；
The corresponding three-level index of the management state includes that asset-liability ratio, the velocity of liquid assets, total assets increase
Rate, profit ratio of sales and industry market share；
The horizontal corresponding three-level index of the power consumption management includes equipment dependability and running environment, safety management level
With work mated condition；
It includes customer demand side peak clipping potentiality, energy storage device appearance that the customer demand side, which is worth corresponding three-level index,
Amount, charging pile quantity, controllable micro- source installed capacity and power demand elasticity；
The corresponding three-level index of the energy management counseling services includes customer electricity management cost, distributed generation resource committee
Delivery dimension situation, energy saving solution demand, electricity are worked journey commission situation and purchase electricity consumption consulting wish.
Further, in the step S1, quantifiable achievement data normalized processing formula is as follows:
A. as follows for profit evaluation model index calculation formula:
Wherein, χ `ijFor the index after normalized, χijFor the index before normalized；
B. as follows for cost type index calculation formula:
Wherein, χ `ijFor the index after normalization, χijFor the index before normalization.
Further, in the step S2, the method for the weight of two-level index is calculated such as using Fuzzy AHP
Under:
Step S2-1, Judgement Matrix with Fuzzy Consistency R is established, U is two-level index AiSet, U={ A1,A2,…,An,
I=1~n, fuzzy relation matrix are as follows:
Wherein, rijIndicate two-level index elements AiRelative to AjSignificance level, if rij> 0.5, then two-level index AiCompare Aj
It is important；If rij< 0.5, then two-level index AjCompare AiIt is important；If determining certain two-level index person in servitude more important than another two-level index
It is with uniformity during category degree, then work as rijWhen > 0.5,rik>rjkR at this timeij=rik-rjk+0.5；
Step S2-2, the weight of two-level index is calculated, calculation formula is as follows:
Wherein, wiFor the weight of i-th of two-level index, n is the total quantity of two-level index, rjkRepresent AjRelative to AkWeight
Want degree.
Further, in the step S3, the method that the weight of three-level index is calculated using entropy assessment is as follows:
Step S3-1, the specific gravity that i-th of client under jth item three-level index accounts for the index is calculated, calculation formula is as follows:
Wherein pijThe specific gravity of the index, x` are accounted for for i-th of client under jth item three-level indexijFor the finger after normalization
Mark；
Step S3-2, the entropy of jth item three-level index is calculated, calculation formula is as follows:
Wherein, ejFor the entropy of jth item three-level index, pijThe ratio of the index is accounted for for i-th of client under jth item three-level index
Weight, k=1/ln (n) > 0ej≥0；
Step S3-3, the comentropy redundancy of jth item three-level index is calculated, calculation formula is as follows:
dj=1-ej (7)
Wherein, djFor the comentropy redundancy of jth item three-level index, ejFor the entropy of jth item three-level index, wherein 0≤dj
≤1；
Step S3-4, the weight of every three-level index is calculated, calculation formula is as follows:
Wherein, djFor the comentropy redundancy of jth item three-level index, wjFor the weight of jth item three-level index.
Further, in the step S4, the method for carrying out overall merit to client based on TOPSIS method is as follows:
Step S4-1: calculating the comprehensive weight of three-level index, obtains two-level index and three respectively by formula (2) and formula (8)
The weight of grade index, the two multiplication can obtain the final comprehensive weight of three-level index, and calculation formula is as follows:
wt=wiwj (9)
Wherein, wiFor the weight of two-level index, wjFor the weight of three-level index, wtFor the weight of three-level index comprehensive；
Step S4-2: building weighted normal matrix Y=(yij)n×m, calculation formula is as follows:
yij=wtx′ij, (i=1,2..., n, j=1,2..., m) (10)
Wherein, wtFor the weight of three-level index comprehensive, χ 'ijFor the index after normalization, yijFor in weighted normal matrix
Element；
Step S4-3: the positive ideal solution and minus ideal result of scheme are determined, positive ideal solution and minus ideal result are respectively each side
The optimal value of case and most bad value combination, calculation formula are as follows:
Positive ideal solution:
Minus ideal result:
Step S4-4: calculating the Euclidean distance of each scheme and plus-minus ideal solutions, and calculation formula is as follows:
To the distance of positive ideal solution:
To the distance of minus ideal result:
Step S4-5: calculating the relative similarity degree between each evaluation object index value and ideal solution, and calculation formula is as follows:
Relative similarity degree is bigger, and customer value is higher.
The beneficial effects of the present invention are:
The present invention changes rear power sales for new electricity and decontrols, and main market players is from traditional hair electricity main body gradually to polynary master
Body develops, and customer value changes, and traditional customer value evaluation method lacks the depth analysis to client, it is difficult to excavate big
The value of client, the problem of providing differentiation, personalized service for client, a kind of power sales provided decontrol lower power customer
Value assessment method, firstly, establishing power customer the value evaluation index system, power customer the value evaluation index system includes two
Grade index and three-level index corresponding with two-level index, and the normalized of index is carried out to quantifiable achievement data,
To not quantifiable achievement data according to the objective reasonable progress assignment marking of expert；Later, Fuzzy AHP meter is utilized
Calculate the weight of two-level index；Later, the weight of three-level index is calculated using entropy assessment；Finally, based on TOPSIS method to client into
Row overall merit, by construction weighted normal matrix and determine scheme plus-minus ideal solutions, calculate each evaluation object index value with
Relative similarity degree between ideal solution, the opposite higher expression power customer value of exchange premium degree are higher.
The present invention establishes power customer the value evaluation index system from enterprise's angle and customer perspective, in index system
Emphasis has merged added value of the client after power sales relieving, finally combines customer value classification results comprehensive analysis client
Feature, to provide decision support for the differentiated service of sale of electricity company.
The present invention mainly constructs the power customer value assessment method for adapting to the environment of power sales relieving instantly, and proposes
Client's appraisal procedure of customer value and sticky two dimensions of client, not only enterprise's angle evaluated customer value, but also from client angle
Degree analysis customer satisfaction, more specifically reflects the feature of client, provides more comprehensive letter for the differentiation operation of sale of electricity company
Breath.After market is further mature, sale of electricity company is precise positioning and the marketing for realizing client, can be evaluated from customer value,
The comprehensive observation clients of more multidimensional such as customer demand identification, the identification of client's viscosity, client's unusual fluctuation monitoring, realize with client and are
The heart is finally reached the purpose of sale of electricity company Yu client's two-win.
Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification
It obtains it is clear that understand through the implementation of the invention.The objectives and other advantages of the invention can be by written explanation
Specifically noted structure is achieved and obtained in book, claims and attached drawing.
Detailed description of the invention
Fig. 1 is flow chart of the invention；
Fig. 2 is power customer the value evaluation index system figure in the present invention；
Fig. 3 is client's Viscous Criterion system figure in the present invention；
Fig. 4 is client's two dimension evaluation figure in the present invention.
Specific embodiment
Embodiments of the present invention are described below in detail, the example of the embodiment is shown in the accompanying drawings, wherein from beginning
Same or similar element or element with the same or similar functions are indicated to same or similar label eventually.Below by ginseng
The embodiment for examining attached drawing description is exemplary, and for explaining only the invention, and is not construed as limiting the claims.
Those skilled in the art of the present technique are appreciated that unless expressly stated, singular " one " used herein, " one
It is a ", " described " and "the" may also comprise plural form.It is to be further understood that being arranged used in specification of the invention
Diction " comprising " refer to that there are the feature, integer, step, operation, element and/or component, but it is not excluded that in the presence of or addition
Other one or more features, integer, step, operation, element, component and/or their group.It should be understood that when we claim member
Part is " connected " or when " coupled " to another element, it can be directly connected or coupled to other elements, or there may also be
Intermediary element.In addition, " connection " used herein or " coupling " may include being wirelessly connected or coupling.Wording used herein
"and/or" includes one or more associated any cells for listing item and all combinations.
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
Attached drawing, the technical solution of the embodiment of the present invention is clearly and completely described.Obviously, described embodiment is this hair
Bright a part of the embodiment, instead of all the embodiments.Based on described the embodiment of the present invention, ordinary skill
Personnel's every other embodiment obtained, shall fall within the protection scope of the present invention.
As shown in Figures 1 to 3, the present invention provides a kind of power sales and decontrols lower power customer value assessment method, including with
Lower step:
Step S1: establishing power customer the value evaluation index system, and power customer the value evaluation index system includes second level
Index and three-level index corresponding with two-level index, and the normalized of index is carried out to quantifiable achievement data, it is right
Not quantifiable achievement data is according to the objective reasonable progress assignment marking of expert；
Step S2, the weight of two-level index is calculated using Fuzzy AHP；
Step S3, the weight of three-level index is calculated using entropy assessment；
Step S4, overall merit is carried out to client based on TOPSIS method, pass through construction weighted normal matrix and determines scheme
Plus-minus ideal solutions, calculate the relative similarity degree between each evaluation object index value and ideal solution, the opposite higher expression of exchange premium degree
Power customer value is higher.
In the step S1, the two-level index includes sale of electricity Economic Contribution, credit situation, management state, uses fulgurite
Reason is horizontal, customer demand side is worth and energy management counseling services.
The corresponding three-level index of the sale of electricity Economic Contribution include year electricity sales amount, average annual sale of electricity electricity price, electricity growth rate；
The corresponding three-level index of the credit situation includes default electricity use number, promptness rate is paid in the electricity charge, contract is honoured an agreement
Rate and contract deviation electricity；
The corresponding three-level index of the management state includes that asset-liability ratio, the velocity of liquid assets, total assets increase
Rate, profit ratio of sales and industry market share；
The horizontal corresponding three-level index of the power consumption management includes equipment dependability and running environment, safety management level
With work mated condition；
It includes customer demand side peak clipping potentiality, energy storage device appearance that the customer demand side, which is worth corresponding three-level index,
Amount, charging pile quantity, controllable micro- source installed capacity and power demand elasticity；
The corresponding three-level index of the energy management counseling services includes customer electricity management cost, distributed generation resource committee
Delivery dimension situation, energy saving solution demand, electricity are worked journey commission situation and purchase electricity consumption consulting wish.
In the step S1, quantifiable achievement data normalized processing formula is as follows:
A. as follows for profit evaluation model index calculation formula:
Wherein, χ `ijFor the index after normalized, χijFor the index before normalized；
B. as follows for cost type index calculation formula:
Wherein, χ `ijFor the index after i-th of client's normalization under jth item index, χijIt is i-th under jth item index
Index before client's normalization.
In the step S2, the method for calculating the weight of two-level index using Fuzzy AHP is as follows:
Step S2-1, Judgement Matrix with Fuzzy Consistency R is established, U is two-level index AiSet, U={ A1,A2,…,An,
I=1~n, n are the total quantity of two-level index, and fuzzy relation matrix is as follows:
Wherein, rijIndicate two-level index elements AiRelative to AjSignificance level, if rij> 0.5, then two-level index AiCompare Aj
It is important；If rij< 0.5, then two-level index AjCompare AiIt is important；If determining certain two-level index person in servitude more important than another two-level index
It is with uniformity during category degree, then work as rijWhen > 0.5,rik>rjkR at this timeij=rik-rjk+0.5；
Step S2-2, the weight of two-level index is calculated, calculation formula is as follows:
Wherein, wiFor the weight of i-th of two-level index, n is the total quantity of two-level index, rjkRepresent AjRelative to AkWeight
Want degree.
In the step S3, the method that the weight of three-level index is calculated using entropy assessment is as follows:
Step S3-1, the specific gravity that i-th of client under jth item three-level index accounts for the index is calculated, calculation formula is as follows:
Wherein pijThe specific gravity of the index, x` are accounted for for i-th of client under jth item three-level indexijFor the finger after normalization
Mark, n are client's total quantity, and m is three-level index total quantity；
Step S3-2, the entropy of jth item three-level index is calculated, calculation formula is as follows:
Wherein, ejFor the entropy of jth item three-level index, pijThe ratio of the index is accounted for for i-th of client under jth item three-level index
Weight, k=1/ln (n) > 0ej≥0；
Step S3-3, the comentropy redundancy of jth item three-level index is calculated, calculation formula is as follows:
dj=1-ej (7)
Wherein, djFor the comentropy redundancy of jth item three-level index, ejFor the entropy of jth item three-level index, wherein 0≤dj
≤1；
Step S3-4, the weight of every three-level index is calculated, calculation formula is as follows:
Wherein, djFor the comentropy redundancy of jth item three-level index, wjFor the weight of jth item three-level index.
In the step S4, the method for carrying out overall merit to client based on TOPSIS method is as follows:
Step S4-1: calculating the comprehensive weight of three-level index, obtains two-level index and three respectively by formula (2) and formula (8)
The weight of grade index, the two multiplication can obtain the final comprehensive weight of three-level index, and calculation formula is as follows:
wt=wiwj (9)
Wherein, wiFor the weight of two-level index, wjFor the weight of three-level index, wtFor the weight of three-level index comprehensive；
Step S4-2: building weighted normal matrix Y=(yij)n×m, calculation formula is as follows:
yij=wtx′ij, (i=1,2..., n, j=1,2..., m) (10)
Wherein, wtFor the weight of three-level index comprehensive, χ 'ijFor the index after normalization, yijFor in weighted normal matrix
Element；
Step S4-3: the positive ideal solution and minus ideal result of scheme are determined, positive ideal solution and minus ideal result are respectively each side
The optimal value of case and most bad value combination, calculation formula are as follows:
Positive ideal solution:
Minus ideal result:
Step S4-4: calculating the Euclidean distance of each scheme and plus-minus ideal solutions, and calculation formula is as follows:
To the distance of positive ideal solution:
To the distance of minus ideal result:
Step S4-5: calculating the relative similarity degree between each evaluation object index value and ideal solution, and calculation formula is as follows:
Relative similarity degree is bigger, and customer value is higher.
Combined with specific embodiments below, the present invention is further illustrated:
This specific embodiment chooses the big industrial customer in 5 families and carries out proof analysis, can measure after counting every customer value data
The data of change carry out the normalized of index, and quantifiable data is not obtained according to the objective reasonable marking of expert
1) through above-mentioned formula (3) and (4), treated, and data are as shown in table 1
2) for two-level index element { A1,A2,A3,A4,A5,A6, compare importance two-by-two,
A) expert forms fuzzy judgment matrix after assigning power, as follows:
B) consistency check formula r is utilizedij=rik-rjk+ 0.5, assignment adjustment is carried out to fuzzy matrix, forms Rnew。
C) two-level index weight w is calculated using formula (2)1,w2,w3,w4,w5,w6Respectively 0.247,0.167,0.127,
0.087,0.207,0.167, three-level index weights are calculated using formula (5-8), to substitute into the synthesis that formula (9) acquires index
Weight, as shown in table 2
3) formula (11-15) is utilized, determines plus-minus ideal solutions, and calculate the Euclidean distance of each client, finally obtained each
The relative similarity degree of a client, such as the following table 3.
The results are shown in Table 3.
(3) by the size of relative similarity degree it can be concluded that customer value be ordered as 4 > client of client 1 > client, 5 > client 2 >
Client 3.
Approach degree is high value customer 0.6 or more, is middle value customer between 0.4-0.6, and 0.4 the following are at a low price
It is worth client, then is respectively high value, middle value, low value, middle value, high value according to grade scale 1-5 client.Due to 5
Power customer is big industrial user, and client's core demand is in investigation to act on behalf of power purchase satisfaction at a low price as evaluation client
The index of viscosity, according to 5 power customers to the susceptibility of electricity price, evaluation obtain 1-5 client's viscosity be respectively high viscosity, in
Sticky, middle viscosity, high viscosity, low viscosity.Thus the two-dimentional evaluation figure of 5 clients is obtained, as shown in Figure 4.
Finally, it is stated that the above examples are only used to illustrate the technical scheme of the present invention and are not limiting, this field is common
Other modifications or equivalent replacement that technical staff makes technical solution of the present invention, without departing from technical solution of the present invention
Spirit and scope, be intended to be within the scope of the claims of the invention.
Claims (7)
1. power sales decontrol lower power customer value assessment method, which comprises the following steps:
Step S1: establishing power customer the value evaluation index system, and power customer the value evaluation index system includes two-level index
With three-level index corresponding with two-level index, and the normalized of index is carried out to quantifiable achievement data, to can not
The achievement data of quantization is according to the objective reasonable progress assignment marking of expert；
Step S2, the weight of two-level index is calculated using Fuzzy AHP；
Step S3, the weight of three-level index is calculated using entropy assessment；
Step S4, overall merit is carried out to client based on TOPSIS method, pass through construction weighted normal matrix and determines scheme just
Minus ideal result calculates the relative similarity degree between each evaluation object index value and ideal solution, the opposite higher expression electric power of exchange premium degree
Customer value is higher.
2. power sales according to claim 1 decontrol lower power customer value assessment method, it is characterised in that: described
In step S1, the two-level index includes sale of electricity Economic Contribution, credit situation, management state, power consumption management level, customer demand
Side value and energy management counseling services.
3. power sales according to claim 2 decontrol lower power customer value assessment method, it is characterised in that: described to sell
The corresponding three-level index of electric Economic Contribution include year electricity sales amount, average annual sale of electricity electricity price, electricity growth rate；
The corresponding three-level index of the credit situation include default electricity use number, the electricity charge pay promptness rate, contract agreement fulfillment rate and
Contract deviation electricity；
The corresponding three-level index of the management state includes asset-liability ratio, the velocity of liquid assets, total assets growth rate, pin
Sell profit margin and industry market share；
The horizontal corresponding three-level index of the power consumption management includes equipment dependability and running environment, safety management level and work
Make mated condition；
The customer demand side is worth corresponding three-level index and includes customer demand side peak clipping potentiality, capacity of energy storing device, fills
Electric stake quantity, controllable micro- source installed capacity and power demand elasticity；
The corresponding three-level index of the energy management counseling services includes customer electricity management cost, distributed generation resource commission fortune
Dimension situation, energy saving solution demand, electricity are worked journey commission situation and purchase electricity consumption consulting wish.
4. power sales according to claim 3 decontrol lower power customer value assessment method, it is characterised in that: described
In step S1, quantifiable achievement data normalized processing formula is as follows:
A. as follows for profit evaluation model index calculation formula:
Wherein, χ `ijFor the index after normalized, χijFor the index before normalized；
B. as follows for cost type index calculation formula:
Wherein, χ `ijFor the index after i-th of client's normalization under jth item index, χijReturn for i-th of client under jth item index
Index before one change.
5. power sales according to claim 4 decontrol lower power customer value assessment method, it is characterised in that: described
In step S2, the method for calculating the weight of two-level index using Fuzzy AHP is as follows:
Step S2-1, Judgement Matrix with Fuzzy Consistency R is established, U is two-level index AiSet, U={ A1,A2,…,An, i=1
~n, n are two-level index sum, and fuzzy relation matrix is as follows:
Wherein, rijIndicate two-level index elements AiRelative to AjSignificance level, if rij> 0.5, then two-level index AiCompare AjIt is important；
If rij< 0.5, then two-level index AjCompare AiIt is important；If determining certain two-level index degree of membership more important than another two-level index
It is with uniformity in the process, then work as rijWhen > 0.5,rik>rjkR at this timeij=rik-rjk+0.5；
Step S2-2, the weight of two-level index is calculated, calculation formula is as follows:
Wherein, wiFor the weight of i-th of two-level index, n is the total quantity of two-level index, rjkRepresent AjRelative to AkImportant journey
Degree.
6. power sales according to claim 5 decontrol lower power customer value assessment method, it is characterised in that: described
In step S3, the method for calculating the weight of three-level index using entropy assessment is as follows:
Step S3-1, the specific gravity that i-th of client under jth item three-level index accounts for the index is calculated, calculation formula is as follows:
Wherein pijThe specific gravity of the index, x` are accounted for for i-th of client under jth item three-level indexijFor the index after normalization, n is
Client's total quantity, m are three-level index sum；
Step S3-2, the entropy of jth item three-level index is calculated, calculation formula is as follows:
Wherein, ejFor the entropy of jth item three-level index, pijThe specific gravity of the index, k are accounted for for i-th of client under jth item three-level index
The e of=1/ln (n) > 0j≥0；
Step S3-3, the comentropy redundancy of jth item three-level index is calculated, calculation formula is as follows:
dj=1-ej (7)
Wherein, djFor the comentropy redundancy of jth item three-level index, ejFor the entropy of jth item three-level index, wherein 0≤dj≤1；
Step S3-4, the weight of every three-level index is calculated, calculation formula is as follows:
Wherein, djFor the comentropy redundancy of jth item three-level index, wjFor the weight of jth item three-level index.
7. power sales according to claim 6 decontrol lower power customer value assessment method, it is characterised in that: described
In step S4, the method for carrying out overall merit to client based on TOPSIS method is as follows:
Step S4-1: calculating the comprehensive weight of three-level index, and by formula (2) and formula (8) obtains two-level index respectively and three-level refers to
Target weight, the two multiplication can obtain the final comprehensive weight of three-level index, and calculation formula is as follows:
wt=wiwj (9)
Wherein, wiFor the weight of two-level index, wjFor the weight of three-level index, wtFor the weight of three-level index comprehensive；
Step S4-2: building weighted normal matrix Y=(yij)n×m, calculation formula is as follows:
yij=wtx′ij, (i=1,2..., n, j=1,2..., m) (10)
Wherein, wtFor the weight of three-level index comprehensive, χ 'ijFor the index after i-th of client's normalization under jth item index, yij
For the element in weighted normal matrix；
Step S4-3: the positive ideal solution and minus ideal result of scheme are determined, positive ideal solution and minus ideal result are respectively each scheme
Optimal value and most bad value combination, calculation formula are as follows:
Positive ideal solution:
Minus ideal result:
Step S4-4: calculating the Euclidean distance of each scheme and plus-minus ideal solutions, and calculation formula is as follows:
To the distance of positive ideal solution:
To the distance of minus ideal result:
Step S4-5: calculating the relative similarity degree between each evaluation object index value and ideal solution, and calculation formula is as follows:
Relative similarity degree is bigger, and customer value is higher.
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