CN106980988A - Trade company's value assessment method - Google Patents
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Abstract
A kind of trade company's value assessment method, including：Determine at least one statistical indicator of trade company's value；The transaction data that each statistical indicator is eachd relate to is standardized；The significance level of each statistical indicator is determined according to order relation analytic approach, and the significance level based on each statistical indicator determines subjective initial vector；The weight of each statistical indicator is determined according to entropy assessment, and the weight based on each statistical indicator determines objective vector；Subjective initial vector is modified based on amendment principle and objective vector, to obtain subjective modification vector, wherein, amendment principle causes the weight of each statistical indicator and the significance level of each statistical indicator to meet complete corresponding ordering relation；The amendment weight of each statistical indicator is calculated based on subjective modification vector, according to order relation analytic approach；Amendment weight based on each statistical indicator and the transaction data eachd relate to, evaluate trade company's value.This method can reduce manual intervention degree, is worth so as to more accurately evaluate trade company.
Description
Technical field
The present invention relates to a kind of trade company's value assessment method.
Background technology
Trade company's value assessment is that basis can reflect the index system of trade company's value, and such as profitability, user are evaluated, popularity
Deng evaluating processing method using suitable, by certain calculating, analysis process, the value to trade company is evaluated.
Overall merit is that of overall importance, globality evaluation is made to the object described with multi objective architecture, is decision-making
Base support is provided, is also that the simultaneously process of its application state of objective evaluation is collected for information about to a complication system.Conventional
Integrated evaluating method has levels analytic approach, expert assessment method, Field Using Fuzzy Comprehensive Assessment, Grey System Appraisal method, principal component analysis
Method, order relation analytic approach (G1 methods), entropy assessment, artificial neural network method (ANN methods) etc..
Some value assessment method and systems of the prior art, in agriculture products weight, assign it to human subjective
Initial value, but this assignment is random big, and the degree of reliability is low.In other words, excessive manual intervention will reduce value assessment method
Authoritative, reliability.
The content of the invention
Manual intervention degree, the side so as to more accurately evaluate trade company's value are reduced it is an object of the invention to provide a kind of
Method.
To achieve the above object, a kind of technical scheme of present invention offer is as follows：
A kind of trade company's value assessment method, comprises the following steps：A) at least one statistical indicator of trade company's value, is determined；
B), the transaction data that each statistical indicator is eachd relate to is standardized；C), each statistics is determined according to order relation analytic approach
The significance level of index, and the significance level based on each statistical indicator determines subjective initial vector；D), determined according to entropy assessment each
The weight of statistical indicator, and the weight based on each statistical indicator determines objective vector；E) it is, right based on amendment principle and objective vector
Subjective initial vector is modified, to obtain subjective modification vector, wherein, amendment principle cause the weight of each statistical indicator with it is each
The significance level of statistical indicator meets complete corresponding ordering relation；F), based on subjective modification vector, according to order relation analytic approach
Calculate the amendment weight of each statistical indicator；And amendment weight g), based on each statistical indicator and the number of deals that eachs relate to
According to evaluation trade company value.
Preferably, in step b), if the transaction data involved by j-th of statistical indicator is expressed as set Cj={ C1j,
C2j,.....,Cnj, then each transaction data of normalized processing is：Wherein n is number of deals
According to item number, i=1,2 ..., n.
Preferably, step c) is specifically included：C1), the significance level of each statistical indicator is determined simultaneously according to order relation analytic approach
Descending sort is carried out, the significance level of each statistical indicator after sorted is expressed as：X1≥X2≥......≥Xm, wherein m is system
Count the number of index；C2 subjectivity initial vector T={ t), are determined1,t2,......,tm-1, whereinI=1,
2,......,m-1。
Preferably, step d) is specifically included：D1 the comentropy of each statistical indicator), is determined：
Wherein,D2 the weight of each statistical indicator), is determined：D3 objective vectorial R=), is determined
{r1,r2,......,rm-1, wherein ri=wi/wi+1, i=1,2 ..., m-1.
Preferably, in step e), subjective modification vector is expressed as：T'={ t1',t'2,......,t'm-1, whereinI=1,2 ..., m-1.
Preferably, in step f), the calculation formula of amendment weight is：Wherein, j=1,
2 ..., m, and, work as j<During k,Work as j>During k, rjk=1/rkj, as j=k, rjk=1.
Preferably, in step g), the calculation formula of trade company's value is：
Trade company's value assessment method provided by the present invention, based on the weight for making each statistical indicator and the weight of each statistical indicator
Want degree to meet complete corresponding ordering relation, and together with objective vector, subjective initial vector is modified, so it is comprehensive
Close and evaluate trade company's value, this mode can reduce manual intervention degree, so as to more accurately evaluate trade company's value.In addition, this
Invention builds the hierarchical structure of marked price index, the index for reflecting similarity is included in a part, it is to avoid part dissimilarity
Not the problem of not having comparativity between matter index, it helps more accurately evaluate trade company's value.
Brief description of the drawings
Fig. 1 shows the flow chart for trade company's value assessment method that one embodiment of the invention is provided.
Fig. 2 shows trade company's System of Comprehensive Evaluation according to the present invention.
Embodiment
As shown in figure 1, one embodiment of the invention provides a kind of trade company's value assessment method, it is rapid that it includes following steps.
Step S10, at least one statistical indicator for determining trade company's value.
Specifically, selection can reflect the index of trade company's value, and such as turnover, profitability, user evaluate number of times, Yong Huping
Value etc..Secondly, evaluation index is divided into several different parts, and progressively segmented, built hierarchical structure, class will be reflected
It is included in like the index of property with a part, it is to avoid the problem of not having comparativity between part heterogeneity index.
In trade company's overall merit of the present invention, evaluation index is divided into profitability, trade company's popularity, potentiality and referred to by us
Number, contractual capacity, five parts of credit history, each part include the thinner evaluation index matched with the partial target,
As shown in Figure 2.
Further, statistical indicator includes but is not limited to：Monthly service charge；Month dealing money；Month dealing money growth rate；
Month dealing money standard deviation rate；Month transaction count；Month transaction count growth rate；Month transaction count standard deviation rate；Customer returns
Head rate；Blank transaction month accounting；Cheat the amount of money；And fraud number of times.
Step S11, the transaction data that each statistical indicator is eachd relate to is standardized.
Wherein, processing and quantized data include the filtering and the standardization of data to abnormal data.Wherein data normalization
It is to be standardized the data of each index.Assuming that index system contains m index, each index includes n group numbers
According to (n is the item number of transaction data).If the transaction data involved by j-th of statistical indicator is expressed as set Cj={ C1j,
C2j,.....,Cnj, then each transaction data of normalized processing is：Wherein, i=1,
2,......,n。
Step S12, the significance level for determining according to order relation analytic approach each statistical indicator, and based on the weight of each statistical indicator
Degree is wanted to determine subjective initial vector.
Specifically, in order to overcome subjective weights and the respective defect of Objective Weight, in agriculture products weight, by compound
Power function amendment G1 methods determine weight, based on G1 methods and entropy assessment, are a kind of to emphasize subjective rankings, in subjective and objective combination
Ensure the constant Evaluation formula of subjective rankings simultaneously.
The step is specifically included：1st, determine the significance level of each statistical indicator according to order relation analytic approach and carry out descending row
Sequence, the significance level of each statistical indicator after sorted is expressed as：X1≥X2≥......≥Xm, wherein m is the individual of statistical indicator
Number；And the subjective initial vector of 2, determination is the ratio between significance level of adjacent statistical indicator after sequence, subjective initial vector table
It is shown as T={ t1,t2,......,tm-1, whereinI=1,2 ..., m-1.
Step S13, the weight for determining according to entropy assessment each statistical indicator, and the weight based on each statistical indicator determine it is objective
Vector.
Specifically, the step is specifically included：1st, the comentropy of each statistical indicator, the comentropy of j-th of statistical indicator are determined
It is expressed as：Wherein,If pij=0, then define pijlnpij=0；2、
The weight of each statistical indicator is determined, the weight of j-th of statistical indicator is expressed as：3rd, objective vectorial R=is determined
{r1,r2,......,rm-1, wherein ri=wi/wi+1, ri>0, i=1,2 ..., m-1.
Step S14, based on amendment principle and objective vector subjective initial vector is modified, with obtain subjectivity correct to
Amount.
Wherein, amendment principle should cause weight of the weight (being embodied by objective vectorial R) of each statistical indicator with each statistical indicator
Degree (being embodied by subjective initial vector T) is wanted to meet complete corresponding ordering relation.When meeting complete corresponding ordering relation,
Show that to the manual evaluation of each statistical indicator significance level the weight of the statistical indicator can be matched, and then, it is believed that it is subjective
Assign
(significance level) initial value is reasonable, proper actual.This correcting mode advantageously reduces manual intervention degree, more accurate
Evaluate trade company's value in ground.
Subjective initial vector T element is t, and objective vectorial R element is r, after amendment, corresponding subjective modification vector
Element is t'=f (t, r).
Specifically, in order to ensure the reasonability of subjective and objective combination, amendment needs following several principles：
As r=t, f (t, r)=t.That is, when subjective initial vector, objective vectorial element are consistent, subjective modification vector
Element should not change.
In order to ensure weight of the weight (being embodied by objective vectorial R) of each statistical indicator with each statistical indicator
Want degree (being embodied by subjective initial vector T) to meet complete corresponding ordering relation, f (t, r) >=1 need to be ensured, therefore work as ri=
wi/wi+1Level off to 0 when, objective vectorial element levels off to minimum value 0, i.e. f (t, r) should take minimum value 1.
F (t, r) ' ＞ 0 and f (t, r) " ＜ 0.Because objective vectorial element is bigger, then f (t, r) is bigger, therefore f (t, r) is single
Adjust and be incremented by, i.e. f (t, r) ' ＞ 0.And f (t, r) " ＜ 0 this condition can reduce influence of the abnormal big r values to f (t, r) value,
F (t, r) is set to be unlikely to excessive.
Preferably, power function is passed throughEnter the compound power function that line translation is obtainedMeet above principle, therefore, subjective modification vector is represented by：T'={ t1',t'2,......,
t'm-1, whereinI=1,2 ..., m-1.
Step S15, the amendment weight for calculating based on subjective modification vector, according to order relation analytic approach each statistical indicator.
Specifically, as an example, in step S15, the calculation formula of amendment weight is used：Wherein,
J=1,2 ..., m, and, work as j<During k,Work as j>During k, rjk=1/rkj, as j=k, rjk=1.
Step S16, the amendment weight based on each statistical indicator and the transaction data eachd relate to, evaluate trade company's value.
Wherein, the calculation formula of trade company's value is：Wherein, V is the trade company of a certain particular merchant
Value, CjFor the set of the transaction data involved by j-th of statistical indicator, C'jTo transaction data set CjIt is standardized
Result, wjFor the weight of j-th of statistical indicator, w'jFor the amendment weight of j-th of statistical indicator.
Depend on the circumstances, after the corresponding trade company's value assessment value of subhierarchy index is obtained, can also be directed to upper level
Index, then weighted sum point system is used, obtain integrating trade company's value assessment value.
Described above is not lain in and limited the scope of the invention only in the preferred embodiments of the present invention.Ability
Field technique personnel can make various modifications design, without departing from the thought and subsidiary claim of the present invention.
Claims (8)
1. a kind of trade company's value assessment method, comprises the following steps:
A) at least one statistical indicator of trade company's value, is determined；
B), the transaction data that each statistical indicator is eachd relate to is standardized；
C) significance level of each statistical indicator, is determined according to order relation analytic approach, and based on the weight of each statistical indicator
Degree is wanted to determine subjective initial vector；
D), determine the weight of each statistical indicator according to entropy assessment, and the weight based on each statistical indicator determine it is objective
Vector；
E), based on amendment principle and the objective vector the subjective initial vector is modified, with obtain subjectivity correct to
Amount, wherein, the amendment principle causes the important journey of the weight and each statistical indicator of each statistical indicator
Degree meets complete corresponding ordering relation；
F) the amendment weight of each statistical indicator, is calculated based on the subjective modification vector, according to order relation analytic approach；And
G) the amendment weight, based on each statistical indicator and the transaction data eachd relate to, evaluate trade company's valency
Value.
2. according to the method described in claim 1, it is characterised in that in the step b), if involved by j-th of statistical indicator
The transaction data is expressed as set Cj={ C1j,C2j,.....,Cnj, then each number of deals through the standardization
According to for：Wherein n be the transaction data item number, i=1,2 ..., n.
3. according to the method described in claim 1, it is characterised in that the step c) is specifically included：
C1), determine the significance level of each statistical indicator according to order relation analytic approach and carry out descending sort, after sorted
The significance level of each statistical indicator is expressed as：X1≥X2≥......≥Xm, wherein m is the number of the statistical indicator；
C2 the subjective initial vector T={ t), are determined1,t2,......,tm-1, whereinI=1,2 ..., m-
1。
4. method according to claim 3, it is characterised in that the step d) is specifically included：
D1 the comentropy of each statistical indicator), is determined：Wherein,
D2 the weight of each statistical indicator), is determined：
D3 the objective vectorial R={ r), are determined1,r2,......,rm-1, wherein ri=wi/wi+1, i=1,2 ..., m-1.
5. method according to claim 4, it is characterised in that in the step e), the subjective modification vector is represented
For：
T'={ t'1,t'2,......,t'm-1, whereinI=1,2 ..., m-1.
6. method according to claim 5, it is characterised in that in the step f), the calculating of the amendment weight is public
Formula is：Wherein, j=1,2 ..., m, and, work as j<During k,Work as j>During k, rjk
=1/rkj, as j=k, rjk=1.
7. method according to claim 6, it is characterised in that in the step g), the calculating of trade company's value is public
Formula is：
8. method according to any one of claim 1 to 7, it is characterised in that the statistical indicator is included in following item
Any one or multinomial：
Monthly service charge；
Month dealing money；
Month dealing money growth rate；
Month dealing money standard deviation rate；
Month transaction count；
Month transaction count growth rate；
Month transaction count standard deviation rate；
Customer's turn-head-rate；
Blank transaction month accounting；
Cheat the amount of money；And
Cheat number of times.
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| CN201611243003.3A CN106980988A (en) | 2016-12-29 | 2016-12-29 | Trade company's value assessment method |
| PCT/CN2017/117701 WO2018121396A1 (en) | 2016-12-29 | 2017-12-21 | Merchant value evaluation method |
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| CN113592516A (en) * | 2021-08-04 | 2021-11-02 | 北京房江湖科技有限公司 | Importance degree determining method and score determining method based on bias term |
| CN113592516B (en) * | 2021-08-04 | 2023-11-21 | 贝壳找房(北京)科技有限公司 | Importance degree determining method based on bias term and method for determining score |
| CN116091137A (en) * | 2023-02-21 | 2023-05-09 | 舟谱数据技术南京有限公司 | Highly configurable dealer advertisement delivery method based on dealer portrait |
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