CN110111024A - Scientific and technological achievement market valuation method based on AHP model of fuzzy synthetic evaluation - Google Patents
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Abstract
The invention discloses the scientific and technological achievement market valuation methods based on AHP model of fuzzy synthetic evaluation, determination including power industry scientific and technological achievement market valuation index system, the determination of index system weight and power industry scientific and technological achievement market valuation, the assessment technology of its market value based on the clear power industry scientific and technological achievement of theoretical research result, study more existing evaluation, assessment technology, establish the scientific and technological achievement market valuation system for meeting south electric network characteristic, it can be from multi-angle, various dimensions, from science, it is economical, social etc. the market value to all kinds of scientific and technological achievements carries out appropriate assessment, in conjunction with power industry feature, for each stage of south electric network science and technology item classification and research overall process, establish scientific and technological achievement market valuation method, solve power industry scientific and technological achievement city Field value is difficult to the problem of assessing.
Description
Technical field
The present invention relates to power industry technical fields, specially based on the scientific and technological achievement city of AHP model of fuzzy synthetic evaluation
Field Valuation Method.
Background technique
The high risk of Electricity Investment determines the importance of investment environment analysis in Development System.Its capital is technology-intensive
Type industrial character, power product particularity and system restriction determine its requirements at the higher level to investment environment, in consideration of it, to electric power
Industry technology assessment is the following main trend.
However, the method that power industry is directed to scientific and technological achievement market valuation not yet at present.
Summary of the invention
The purpose of the present invention is to provide the scientific and technological achievement market valuation sides based on AHP model of fuzzy synthetic evaluation
Method can carry out all kinds of scientific and technological achievement market values from scientific, economical, social etc. from multi-angle, various dimensions
Appropriate assessment solves the problems, such as that power industry scientific and technological achievement market value is difficult to assess.
To achieve the above object, the invention provides the following technical scheme:
Scientific and technological achievement market valuation method based on AHP model of fuzzy synthetic evaluation, utilizes analytic hierarchy process (AHP) and mould
Paste mathematical method establishes AHP- model of fuzzy synthetic evaluation, specifically includes the following steps:
Step 1): establishing power industry STAT projects assessment indicator system, is with power industry STAT projects
Destination layer divides into sub-goal layer, rule layer and indicator layer；
Step 2): list sub-goal layer to rule layer index factor collection B={ B1,B2,B3,···,Bn, i=1,
2 ..., n, rule layer to indicator layer set of factors Bi={ C1,C2,C3,···,Cm}；
Step 3): it determines the weight of each index: using " 1-9 scaling law " Judgement Matricies, digital " 1,3,5,7,9 " difference
Under indicating that index compares two-by-two, an index is " of equal importance, slightly important, obvious important, strong important, more extreme than another
It is important "；And " 2,4,6,8 " respectively represent between；Inverse indicate two indexes inverse ratio compared with；
Wherein, the evaluation parameter of each layer judgment matrix of power industry STAT projects indicator evaluation system is by 5 experts
Independent to determine, data take its average value processing, and four five people of house are rounded, and obtain rule layer index weights W=(W1,W2,W3,···,
Wn)TWith indicator layer index weights Wi=(Wi1,Wi2,Wi3,···,Wik)T, i=1,2, n；According to formula CR=CI/
The consistency of RI judgment matrix, wherein CI=(λmax- n)/n-1, λmaxFor Maximum characteristic root, CI value is smaller, then judgment matrix
Consistency is better, and RI value can look into the disposable index RI value table of AHP mean random and obtain, and as CR < 0.1, judgment matrix passes through
Consistency check, weight calculation result are reasonable；Otherwise it needs to be modified；
Step 4): dividing point-score processed using fuzzy mathematics 5, invite expert according to Comment gathers V=(it is high, it is higher, it is generally, low,
It is lower) ranking is carried out to obtain evaluate collection data to indicator layer index, obtain the fuzzy judgment matrix of indicator layer:
In formula (2), rij(i=1,2 ..., k；J=1,2 ..., 5) indicate that making j level evaluation to i-th of index is subordinate to
Degree；
Step 5): Comprehensive Evaluation is carried out: by the weight sets W of indicator layer indexiWith RICarry out fuzzy operation: Si=Wi·RI,
The fuzzy judgment matrix R of reflection rule layer can then be obtainedi=(S1,S2,…,Si)T, then by the weight sets W and R of rule layeriIt carries out
Fuzzy operation can obtain the Comprehensive Evaluation S=WR of reflection destination layeri, and according to maximum membership grade principle, evaluation result is returned
Class.
Further, power industry STAT projects assessment indicator system is established in step 1), is specifically included:
Step 101): it is longitudinal dimension with power industry scientific and technological achievement market value, is divided into destination layer, rule layer, refers to
Mark the index system framework model that three level of layer are transverse dimensions；
Step 102): according to scientific and technological result assessment index system framework model, from scientific and technological achievement market value conversion process
Start with, using city's field source as destination layer index, primarily determines the evaluation index determined by first class index, two-level index, three-level index
Set；
Step 103): respectively from evaluation index set the market factor and the market risk itself to the market of scientific and technological achievement
Value is assessed.
Further, in the determination basis Index System Design of power industry technology assessment index system
SMART criterion carries out scientific and technological achievement technology referring to the process of the transformation of scientific and technical result in line with the principle of combination of qualitative and quantitative analysis
Value assessment Index System Design.
Further, the weight of each index is determined in step 3): specifically includes the following steps:
Step 301): weight judgment matrix is established: on assessment indicator system foundation, by between pair each layer index
The importance degree between each index is determined than giving a mark, specifically: index A1With A2It compares, A1Relative to A2Importance be
A12, then A2To A1Importance be then its inverse 1/A12, same layer index is compared two-by-two, obtains judgment matrix:
Step 302): index weights are determined: are calculated according to index weights of the obtained judgment matrix to identical level,
Calculate the product of each row elementM is calculated againiN rootThen W=[W1,
W2,...,Wn]TFor required feature vector, the i.e. weight vectors of respective element；It also needs to carry out unanimously after obtaining index weights
Property examine, use coincident indicatorJudged with RI, RI is Aver-age Random Consistency Index, by random
Construct 500 sample matrix, its consistency index value calculated to each random sample matrix, by obtained coincident indicator value into
Row is average, the value of random index RI is obtained, when random consistency ratioWhen, it may be considered that logical
It is reasonable and satisfactory for crossing the weight distribution that analytic hierarchy process (AHP) obtains, conversely, if random consistency ratio value is greater than 0.10,
It then needs to be adjusted judgment matrix, weight coefficient is allocated again；
Step 303): it after the weighted value of each indicator layer determines, determines the characteristics of according to index system from top to bottom
The index weights of locating different levels carry out Fuzzy Evaluation Analysis later, with the principle of fuzzy mathematics, by comparing corresponding be subordinate to
Belong to grade situation to obtain final evaluation.
Further, destination layer is first class index in step 1), is set as market index and investigates factor；Rule layer is two
Grade index, including two market factor, market risk assessment factors, the market factor refer mainly to the included electricity market of scientific and technological achievement
Value, the potential risk of electricity market where the market risk is primarily referred to as scientific and technological achievement；Indicator layer is three-level index, including electric power
Market environment, electricity market prospect, electricity market degree of monopoly, power industry scientific and technological achievement are realized degree, power industry section
Skill achievement is by acceptance level, power industry scientific and technological achievement use value, power industry scientific and technological achievement remaining economic life, electric power city
Field demand, electricity market period, electricity market growth rate, electricity needs matching degree, electricity market influence range, electric power city
Requirements Risks, Electricity Market Competition risk, the electricity market entry time, electricity market spread risk, power industry science and technology at
The counterfeit risk of fruit product, electricity market development risk, Electricity Market Operation risk and electricity market resources supplIes risk.
Compared with prior art, the beneficial effects of the present invention are:
Scientific and technological achievement market valuation method provided by the invention based on AHP model of fuzzy synthetic evaluation, based on reason
By the assessment technology of the market value of the clear power industry scientific and technological achievement of research achievement, more existing evaluation, assessment technology are studied,
Establish and meet the scientific and technological achievement market valuation system of south electric network characteristic, can from multi-angle, various dimensions, from it is scientific,
Economical, social etc. the market value to all kinds of scientific and technological achievements carries out appropriate assessment, in conjunction with power industry feature, needle
To each stage of south electric network science and technology item classification and research overall process, scientific and technological achievement market valuation method is established, is solved
Certainly power industry scientific and technological achievement market value is difficult to the problem of assessing.
Detailed description of the invention
Fig. 1 is power industry scientific and technological achievement market valuation process analysis procedure analysis illustraton of model of the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
In the embodiment of the present invention: the scientific and technological achievement market valuation method based on AHP model of fuzzy synthetic evaluation is provided,
AHP- model of fuzzy synthetic evaluation is established using analytic hierarchy process (AHP) and fuzzy mathematics method, considers to influence power industry science and technology comprehensively
The various different factors of achievement value can fully demonstrate the mould of factor of evaluation and evaluation procedure in conjunction with qualitative and quantitative analysis
Paste property, and reduce deviation brought by personal subjectivity to the greatest extent, and objectivity more more scientific than the methods of general comparation and assessment marking,
The result of evaluation also has more confidence level, specifically includes the following steps:
Step 1): establishing power industry STAT projects assessment indicator system, is with power industry STAT projects
Destination layer divides into sub-goal layer, rule layer and indicator layer；
Step 2): list sub-goal layer to rule layer index factor collection B={ B1,B2,B3,···,Bn, i=1,
2 ..., n, rule layer to indicator layer set of factors Bi={ C1,C2,C3,···,Cm}；
Step 3): it determines the weight of each index: using " 1-9 scaling law " Judgement Matricies, digital " 1,3,5,7,9 " difference
Under indicating that index compares two-by-two, an index is " of equal importance, slightly important, obvious important, strong important, more extreme than another
It is important "；And " 2,4,6,8 " respectively represent between；Inverse indicate two indexes inverse ratio compared with；
Wherein, the evaluation parameter of each layer judgment matrix of power industry STAT projects indicator evaluation system is by 5 experts
Independent to determine, data take its average value processing, and four five people of house are rounded, and obtain rule layer index weights W=(W1,W2,W3,···,
Wn)TWith indicator layer index weights Wi=(Wi1,Wi2,Wi3,···,Wik)T, i=1,2, n；According to formula CR=CI/
The consistency of RI judgment matrix, wherein CI=(λmax- n)/n-1, λmaxFor Maximum characteristic root, CI value is smaller, then judgment matrix
Consistency is better, and RI value can look into the disposable index RI value table of AHP mean random and obtain, and as CR < 0.1, judgment matrix passes through
Consistency check, weight calculation result are reasonable；Otherwise it needs to be modified；
Step 4): dividing point-score processed using fuzzy mathematics 5, invite expert according to Comment gathers V=(it is high, it is higher, it is generally, low,
It is lower) ranking is carried out to obtain evaluate collection data to indicator layer index, obtain the fuzzy judgment matrix of indicator layer:
In formula (2), rij(i=1,2 ..., k；J=1,2 ..., 5) indicate that making j level evaluation to i-th of index is subordinate to
Degree；
Step 5): Comprehensive Evaluation is carried out: by the weight sets W of indicator layer indexiWith RICarry out fuzzy operation: Si=Wi·RI,
The fuzzy judgment matrix R of reflection rule layer can then be obtainedi=(S1,S2,…,Si)T, then by the weight sets W and R of rule layeriIt carries out
Fuzzy operation can obtain the Comprehensive Evaluation S=WR of reflection destination layeri, and according to maximum membership grade principle, evaluation result is returned
Class.
In the above-described embodiments, power industry STAT projects assessment indicator system is established in step 1), according to index
SMART criterion in System Design is carried out in line with the principle of combination of qualitative and quantitative analysis referring to the process of the transformation of scientific and technical result
Scientific and technological achievement discounted cash flow Index System Design, specifically includes:
Step 101): being longitudinal dimension with power industry scientific and technological achievement market value, in order to guarantee that scientific and technological result assessment refers to
Mark system systematicness and it is comprehensive, the present invention divided destination layer, rule layer, three levels of indicator layer be transverse dimensions finger
Mark system framework model, as shown in Figure 1；
Step 102): according to scientific and technological result assessment index system framework model, from scientific and technological achievement market value conversion process
Start with, using city's field source as destination layer index, referring to relevant references, primarily determines and referred to by first class index, two-level index, three-level
Determining evaluation index set is marked, as shown in Figure 1；
Step 103): respectively from evaluation index set the market factor and the market risk itself to the market of scientific and technological achievement
Value is assessed.
In the above-described embodiments, destination layer is first class index, is set as market index and investigates factor；Rule layer refers to for second level
Mark, including two market factor, market risk assessment factors, the market factor refer mainly to the included electricity market valence of scientific and technological achievement
Value, three-level index Design are as follows: Power Market, electricity market prospect, electricity market degree of monopoly, power industry science and technology at
Fruit is realized degree, power industry scientific and technological achievement by acceptance level, power industry scientific and technological achievement use value, power industry science and technology
Achievement remaining economic life, electric power market demand, the electricity market period, electricity market growth rate, electricity needs matching degree,
Electricity market influences range；The potential risk of electricity market, three-level index are set where the market risk is primarily referred to as scientific and technological achievement
It is calculated as: electric power market demand risk, Electricity Market Competition risk, electricity market entry time, electricity market spread risk, electric power
The counterfeit risk of industry scientific and technological achievement product, electricity market development risk, Electricity Market Operation risk, electricity market resources supplIes wind
Danger, referring specifically to the following table 1:
1 power industry scientific and technological achievement market index of table
In the above-described embodiments, the weight of each index is determined in step 3): utilizing analytic hierarchy process (AHP) (Analytic
Hierarchy Process, abbreviation AHP) will always related element resolves into the levels such as target, criterion, scheme with decision,
The decision-making technique of qualitative and quantitative analysis is carried out on this basis, this method is that the U.S. plans strategies for scholar Pittsburg college professor Satie
In in the early 1970s, for U.S. Department of Defense research " according to each industrial department to the contribution of national welfare and into
Row electric power distribution " when project, application network Systems Theory and Objective Comprehensive Evaluation Method method, a kind of level weight decision of proposition
Analysis method, specifically includes the following steps:
Step 301): weight judgment matrix is established: on assessment indicator system foundation, by between pair each layer index
The importance degree between each index is determined than giving a mark, specifically: index A1With A2It compares, A1Relative to A2Importance be
A12, then A2To A1Importance be then its inverse 1/A12, the present invention relatively compares point factor of evaluation using 1-9 scale
Analysis, the different degree of 1-9 scale are defined as follows shown in table 2, same layer index are compared two-by-two, obtains judgment matrix:
2 different degree of table defines table
Step 302): index weights are determined: are calculated according to index weights of the obtained judgment matrix to identical level,
Calculate the product of each row elementM is calculated againiN rootThen W=[W1,
W2,...,Wn]TFor required feature vector, the i.e. weight vectors of respective element；It also needs to carry out unanimously after obtaining index weights
Property examine, use coincident indicatorJudged with RI, RI is Aver-age Random Consistency Index, by random
Construct 500 sample matrix, its consistency index value calculated to each random sample matrix, by obtained coincident indicator value into
Row is average, obtains the value of random index RI, as shown in table 3 below；When random consistency ratioWhen,
It may be considered that being reasonable and satisfactory by the weight distribution that analytic hierarchy process (AHP) obtains, conversely, if random consistency ratio
Rate value is greater than 0.10, then needs to be adjusted judgment matrix, be allocated again to weight coefficient；
3 coincident indicator RI of table
| n | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| RI | 0 | 0 | 0.52 | 0.90 | 1.12 | 1.26 | 1.36 | 1.41 | 1.46 | 1.49 |
Step 303): it after the weighted value of each indicator layer determines, determines the characteristics of according to index system from top to bottom
The index weights of locating different levels carry out Fuzzy Evaluation Analysis later, with the principle of fuzzy mathematics, by comparing corresponding be subordinate to
Belong to grade situation to obtain final evaluation.
Foregoing invention is illustrated in order to further better, following specific example is also provided and is analyzed:
In AHP- model of fuzzy synthetic evaluation, China Southern Power Grid's science and technology item -- the electricity of big data is chosen
As case valuation object, specific evaluation process is as follows for net Situation Awareness key technology research and Demonstration Application:
1) determination of index weights:
According to the hierarchical relationship in scientific and technological achievement discounted cash flow index system (table 1), A- (B is constructed1-B2)、
B1-(C1-C12)、B2-(C13-C20) 3 judgment matrixs；Lead to after inviting the expert in 5 projects to carry out assignment to each judgment matrix
It crosses MATLAB software and carries out AHP analysis.
It being computed, CR is both less than 0.1, and therefore, matrix passes through consistency check, meet condition, and so on, it calculates each
The weight of a index is as shown in table 4:
The weight of each index of table 4
2) power industry technology assessment:
Invite 10 experts for power industry technology assessment system each three-level index carry out (it is important, compared with
It is important, it is generally, less important, inessential) judge, using percentage statistic law, the evaluation result for being evaluated object is carried out hundred
Divide than statistics, and using result as the degree of membership of index, the results are shown in Table 5 for evaluate collection Fuzzy Selection:
5 market value of table evaluates Fuzzy Selection result
Each index weights and fuzzy judgment matrix are subjected to Fuzzy Calculation, obtain Comprehensive Fuzzy Evaluation；Such as index
The assessment of the market factor:
Similarly, the assessment of the index market risk are as follows:
S2=W2·R2=(0.1219,0.6414,0.2225,0.0093,0)
For the Fuzzy Calculation result of destination layer:
S=WR=(0.6821,0.3179) × (S1,S2)
=(0.2386,0.4755,0.2473,0.0371,0)
Since the weight of each single index is relative number, the weight of each evaluation set is added respectively equal to 1, according to
Maximum membership grade principle, the power grid Situation Awareness key technology research of China Southern Power Grid's science and technology item -- big data
Weight maximum 0.4546 is selected with the market value of Demonstration Application, judges the market value of the project for " higher " accordingly.
In summary: the scientific and technological achievement market valuation side provided by the invention based on AHP model of fuzzy synthetic evaluation
Method, the assessment technology of the market value based on the clear power industry scientific and technological achievement of theoretical research result, the more existing evaluation of research,
Assessment technology is established and meets the scientific and technological achievement market valuation system of south electric network characteristic, can from multi-angle, various dimensions,
Appropriate assessment is carried out from the market value of scientific, economical, social etc. to all kinds of scientific and technological achievements, in conjunction with electric power row
Industry feature is established scientific and technological achievement market value and is commented for each stage of south electric network science and technology item classification and research overall process
Estimate method, solves the problems, such as that power industry scientific and technological achievement market value is difficult to assess.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
Anyone skilled in the art within the technical scope of the present disclosure, according to the technique and scheme of the present invention and its
Inventive concept is subject to equivalent substitution or change, should be covered by the protection scope of the present invention.
Claims (5)
1. the scientific and technological achievement market valuation method based on AHP model of fuzzy synthetic evaluation, which is characterized in that utilize level point
Analysis method and fuzzy mathematics method establish AHP- model of fuzzy synthetic evaluation, specifically includes the following steps:
Step 1): power industry STAT projects assessment indicator system is established, using power industry STAT projects as target
Layer, divides into sub-goal layer, rule layer and indicator layer；
Step 2): list sub-goal layer to rule layer index factor collection B={ B1,B2,B3,…,Bn, i=1,2 ..., n are quasi-
Then layer is to indicator layer set of factors Bi={ C1,C2,C3,…,Cm}；
Step 3): it determines the weight of each index: using " 1-9 scaling law " Judgement Matricies, digital " 1,3,5,7,9 " respectively indicate
Under index compares two-by-two, an index is than another " of equal importance, slightly important, obvious important, strong important, extreme weight
It wants "；And " 2,4,6,8 " respectively represent between；Inverse indicate two indexes inverse ratio compared with；
Wherein, the evaluation parameter of each layer judgment matrix of power industry STAT projects indicator evaluation system is by 5 expert's independences
Determine, data take its average value processing, and four five people of house are rounded, and obtain rule layer index weights W=(W1,W2,W3,…,Wn)TAnd index
Layer index weights Wi=(Wi1,Wi2,Wi3,…,Wik)T, i=1,2 ..., n；According to the consistent of formula CR=CI/RI judgment matrix
Property, wherein CI=(λmax- n)/n-1, λmaxFor Maximum characteristic root, CI value is smaller, then the consistency of judgment matrix is better, and RI value can
It looks into the disposable index RI value table of AHP mean random to obtain, as CR < 0.1, judgment matrix passes through consistency check, weight meter
It is reasonable to calculate result；Otherwise it needs to be modified；
Step 4): dividing point-score processed using fuzzy mathematics 5, invite expert according to Comment gathers V=(it is high, it is higher, it is generally, low, compared with
It is low) ranking is carried out to obtain evaluate collection data to indicator layer index, obtain the fuzzy judgment matrix of indicator layer:
In formula (2), rij(i=1,2 ..., k；J=1,2 ..., 5) indicate the degree of membership that j level evaluation is made to i-th of index；
Step 5): Comprehensive Evaluation is carried out: by the weight sets W of indicator layer indexiWith RICarry out fuzzy operation: Si=Wi·RI, then may be used
Obtain the fuzzy judgment matrix R of reflection rule layeri=(S1,S2,…,Si)T, then by the weight sets W and R of rule layeriIt is obscured
Operation can obtain the Comprehensive Evaluation S=WR of reflection destination layeri, and according to maximum membership grade principle, evaluation result is sorted out.
2. the scientific and technological achievement market valuation method based on AHP model of fuzzy synthetic evaluation as described in claim 1, special
Sign is: power industry STAT projects assessment indicator system established in step 1), is specifically included:
Step 101): it is longitudinal dimension with power industry scientific and technological achievement market value, is divided into destination layer, rule layer, indicator layer
Three levels are the index system framework model of transverse dimensions；
Step 102): according to scientific and technological result assessment index system framework model, starting with from scientific and technological achievement market value conversion process,
Using city's field source as destination layer index, the evaluation index set determined by first class index, two-level index, three-level index is primarily determined；
Step 103): respectively from evaluation index set the market factor and the market risk itself to the market value of scientific and technological achievement
It is assessed.
3. the scientific and technological achievement market valuation method based on AHP model of fuzzy synthetic evaluation as claimed in claim 2, special
Sign is: the SMART criterion in the determination basis Index System Design of power industry technology assessment index system, this
The principle of combination of qualitative and quantitative analysis, referring to the transformation of scientific and technical result process, carry out scientific and technological achievement discounted cash flow index
System Design.
4. the scientific and technological achievement market valuation method based on AHP model of fuzzy synthetic evaluation as described in claim 1, special
Sign is: the weight of each index is determined in step 3): specifically includes the following steps:
Step 301): weight judgment matrix is established: on assessment indicator system foundation, by beating the comparison each layer index
Divide to determine the importance degree between each index, specifically: index A1With A2It compares, A1Relative to A2Importance be A12, then
A2To A1Importance be then its inverse 1/A12, same layer index is compared two-by-two, obtains judgment matrix:
Step 302): index weights are determined: is calculated according to index weights of the obtained judgment matrix to identical level, calculated
The product of each row elementM is calculated againiN rootThen W=[W1,W2,...,
Wn]TFor required feature vector, the i.e. weight vectors of respective element；It also needs to carry out consistency check after obtaining index weights,
Use coincident indicatorJudged with RI, RI is Aver-age Random Consistency Index, passes through random configuration 500
A sample matrix calculates its consistency index value to each random sample matrix, obtained coincident indicator value is averaged,
The value of random index RI is obtained, when random consistency ratioWhen, it may be considered that passing through level point
The weight distribution that analysis method obtains is reasonable and satisfactory, conversely, if random consistency ratio value is greater than 0.10, is needed pair
Judgment matrix is adjusted, and is allocated again to weight coefficient；
Step 303): it after the weighted value of each indicator layer determines, determines the characteristics of according to index system from top to bottom locating
The index weights of different levels carry out Fuzzy Evaluation Analysis later, with the principle of fuzzy mathematics, are accordingly subordinate to by comparison
Grade situation obtains final evaluation.
5. the scientific and technological achievement market valuation method based on AHP model of fuzzy synthetic evaluation as described in claim 1, special
Sign is: destination layer is first class index in step 1), is set as market index and investigates factor；Rule layer is two-level index, including
Two market factor, market risk assessment factors, the market factor refer mainly to the included electricity market value of scientific and technological achievement, market wind
The potential risk of electricity market where danger is primarily referred to as scientific and technological achievement；Indicator layer is three-level index, including Power Market, electricity
Power market prospects, electricity market degree of monopoly, power industry scientific and technological achievement are realized degree, power industry scientific and technological achievement is received
Degree, power industry scientific and technological achievement use value, power industry scientific and technological achievement remaining economic life, electric power market demand, electric power
Market cycle, electricity market growth rate, electricity needs matching degree, electricity market influence range, electric power market demand risk,
Electricity Market Competition risk, electricity market entry time, electricity market spread risk, the counterfeit wind of power industry scientific and technological achievement product
Danger, electricity market development risk, Electricity Market Operation risk and electricity market resources supplIes risk.
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