CN105844374A - Multi-index comprehensive evaluation method and multi-index comprehensive evaluation device based on hierarchical structure model - Google Patents

Multi-index comprehensive evaluation method and multi-index comprehensive evaluation device based on hierarchical structure model Download PDF

Info

Publication number
CN105844374A
CN105844374A CN201510020508.2A CN201510020508A CN105844374A CN 105844374 A CN105844374 A CN 105844374A CN 201510020508 A CN201510020508 A CN 201510020508A CN 105844374 A CN105844374 A CN 105844374A
Authority
CN
China
Prior art keywords
assessment indicator
weight
assessed
tested
index
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201510020508.2A
Other languages
Chinese (zh)
Inventor
陈彬
郭洪群
程之明
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Datang Software Technologies Co Ltd
Original Assignee
Datang Software Technologies Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Datang Software Technologies Co Ltd filed Critical Datang Software Technologies Co Ltd
Priority to CN201510020508.2A priority Critical patent/CN105844374A/en
Publication of CN105844374A publication Critical patent/CN105844374A/en
Pending legal-status Critical Current

Links

Landscapes

  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a multi-index comprehensive evaluation method and a multi-index comprehensive evaluation device based on a hierarchical structure model. A specific embodiment of the evaluation method comprises the following steps: constructing a hierarchical structure of a system, wherein the hierarchical structure includes an evaluation objective, multiple indexes determined according to the evaluation objective, and multiple evaluation objects; determining the weight of each index through a paired comparison approach; getting the attribute value of an object to be evaluated for an index to be evaluated; judging whether the index to be evaluated is a qualitative or quantitative index, and determining the weight of the object to be evaluated for the index to be evaluated; and calculating the comprehensive weight of the object to be evaluated based on the weight of the index to be evaluated and the weight of the object to be evaluated for the index to be evaluated. Through the embodiment, the applicability and the degree of automation of the evaluation method are improved.

Description

Comprehensive multi-index assessment method based on hierarchy Model and device
Technical field
The application relates to evaluation technology field, is specifically related to multi objective evaluation technology field, especially Relate to a kind of comprehensive multi-index assessment method based on hierarchy Model and device.
Background technology
In the management and decision-making practical activity of every field, often refer to a class multi objective and combine Close test and appraisal problem.Briefly, it is simply that under multiple indexs, multiple test and appraisal objects are carried out comprehensively Test and appraisal, complete plan evaluation.
For realizing quantitative management and science decision, the method that can take is generally analytic hierarchy process (AHP) (Analytic Hierarchy Process is called for short AHP) or index comprehensive point system.Level divides Analysis method is that the element the most relevant with decision-making resolves into the levels such as target, criterion, scheme, The decision method of qualitative and quantitative analysis is carried out on this basis.Comprehensive scoring method be the most respectively by Each evaluation index is marked by the evaluation criterion of different indexs, then uses weighting summation, asks Obtain the comprehensive grading of each candidate scheme, it is achieved the comprehensive assessment to multiple candidate schemes.
Analytic hierarchy process (AHP) needs more artificial participation, and automatization's realization degree is low, and works as index Or candidate scheme more time, the suitability and the effectiveness of the method are relatively low.Index comprehensive point system In, the weight of index and the foundation of index code of points are required to more artificial participation, cause Automatization's realization degree of the method is low.
Summary of the invention
This application provides a kind of comprehensive multi-index assessment method based on hierarchy Model and dress Put.
On the one hand, this application provides the test and appraisal of a kind of comprehensive multi-index based on hierarchy Model Method, described method includes: the hierarchical structure of constructing system, and described hierarchical structure includes: survey Comment target, the multiple indexs determined according to described test and appraisal target and multiple test and appraisal object;Use into Relative method is determined the weight of the plurality of index;Obtain object to be tested and assessed for treating assessment indicator Property value;Treat described in judgement that assessment indicator belongs to qualitative index or quantitative target, if described in treat Assessment indicator belongs to qualitative index, then analyze described property value, determine described in object pin to be tested and assessed To the described weight treating assessment indicator, if described in treat that assessment indicator belongs to quantitative target, then based on Described property value, by calculating determine described in object to be tested and assessed for the described power treating assessment indicator Weight, wherein, described qualitative index includes: switching mode qualitative index, degree type qualitative index, Described quantitative target includes: monotone increasing type quantitative target, monotonic decreasing type quantitative target, in Between optimum type quantitative target or two ends optimum type quantitative target;And treat that test and appraisal refer to based on described Target weight and described object to be tested and assessed for the described weight treating assessment indicator, are treated described in calculating The comprehensive weight of test and appraisal object.
In some embodiments, described in treat that assessment indicator is switching mode qualitative index, described really Object to be tested and assessed described in Ding includes for the described weight treating assessment indicator: if judging described to be measured Comment and described in object, treat that assessment indicator is " adding subitem " for described test and appraisal target, it is determined that be described Object to be tested and assessed is 1 for the described weight treating assessment indicator;If object to be tested and assessed described in Pan Duaning Described in treat assessment indicator for described test and appraisal target for " deduction item ", it is determined that described in wait to test and assess Object is 0 for the described weight treating assessment indicator.
In some embodiments, described in treat that assessment indicator is degree type qualitative index, described really Object to be tested and assessed described in Ding for the described weight treating assessment indicator comprise determining that described in wait to test and assess The grade of assessment indicator is treated described in object;Based on the weight that described grade is corresponding, determine described Object to be tested and assessed is for the described weight treating assessment indicator.
In some embodiments, described in treat that assessment indicator is monotone increasing type quantitative target, institute State by calculating determine described in object to be tested and assessed include for the described weight treating assessment indicator: obtain Take the plurality of test and appraisal object for the described property value treating assessment indicator;Calculate described property value In maximum k1 and minima k2, and calculate described maximum k1 and described minima k2 The absolute value M of difference;Judge whether described absolute value M is 0;If, it is determined that described Object to be tested and assessed is 1 for the described weight treating assessment indicator;If it is not, then calculate described to be measured Comment absolute for the described property value k treating assessment indicator and the difference of described minima k2 of object Value N, and object to be tested and assessed described in determining is N/M for the described weight treating assessment indicator.
In some embodiments, described in treat that assessment indicator is monotonic decreasing type quantitative target, institute State by calculating determine described in object to be tested and assessed include for the described weight treating assessment indicator: obtain Take the plurality of test and appraisal object for the described property value treating assessment indicator;Calculate described property value In maximum k1 and minima k2, and calculate described maximum k1 and described minima k2 The absolute value M of difference;Judge whether described absolute value M is 0;If, it is determined that described Object to be tested and assessed is 1 for the described weight treating assessment indicator;If it is not, then calculate described maximum Value k1 and described object to be tested and assessed are for difference absolute of the described property value k treating assessment indicator Value L, and object to be tested and assessed described in determining is L/M for the described weight treating assessment indicator.
In some embodiments, described in treat that assessment indicator is middle optimum type quantitative target, institute State by calculating determine described in object to be tested and assessed include for the described weight treating assessment indicator: obtain Take the plurality of test and appraisal object for the described property value treating assessment indicator;Obtain optimum interval First boundary value A1, the second boundary value A2, described first boundary value A1 is less than or equal to institute State the second boundary value A2, and calculate the intermediate value A=(A2+A1)/2 of described optimum interval;Sentence Whether disconnected described first boundary value A1 is equal to the second boundary value A2;The most then calculate described genus Property value and described optimum interval the absolute value of intermediate value A difference, and calculate described absolute value Maximum X;Judge that whether described maximum X is equal to 0;If waiting described in, it is determined that to test and assess Object is 1 for the described weight treating assessment indicator;If it is not, object to be tested and assessed described in then calculating Exhausted for the described property value k treating assessment indicator and the intermediate value A difference of described optimum interval To value B, and object to be tested and assessed described in determining for the described weight treating assessment indicator is (X-B)/X。
In some embodiments, described method also includes: if described first boundary value A1 In the second boundary value A2, then object to be tested and assessed described in judgement is for the described genus treating assessment indicator Whether property value k is positioned at described optimum interval;If object to be tested and assessed described in, it is determined that for The described weight treating assessment indicator is 1;If not, it is determined that described in object to be tested and assessed for described Treat that the weight of assessment indicator is for (A2-A1)/2B.
In some embodiments, described in treat that assessment indicator is two ends optimum type quantitative targets, institute State by calculating determine described in object to be tested and assessed include for the described weight treating assessment indicator: obtain Take the plurality of test and appraisal object for the described property value treating assessment indicator;Obtain worst interval First boundary value A1, the second boundary value A2, described first boundary value A1 is less than or equal to institute State the second boundary value A2, and calculate the intermediate value A=(A2+A1)/2 in described worst interval;Sentence Whether disconnected described first boundary value A1 is equal to the second boundary value A2;The most then calculate described genus Property value and described worst interval the absolute value of intermediate value A difference, and calculate described absolute value Maximum X;Judge that whether described maximum X is equal to 0;If waiting described in, it is determined that to test and assess Object is 0 for the described weight treating assessment indicator;If it is not, object to be tested and assessed described in then calculating Exhausted for the described property value k treating assessment indicator and the intermediate value A difference in described worst interval To value B, and object to be tested and assessed described in determining is B/X for the described weight treating assessment indicator.
In some embodiments, described method also includes: if described first boundary value A1 In the second boundary value A2, then object to be tested and assessed described in judgement is for the described genus treating assessment indicator Whether property value k is positioned at described worst interval;If object to be tested and assessed described in, it is determined that for The described weight treating assessment indicator is 0;If not, it is determined that described in object to be tested and assessed for described The weight treating assessment indicator is 1-(A2-A1)/2B.
In some embodiments, the described weight determining the plurality of index includes: compare institute State multiple index, generate positive reciprocal matrix;Calculate described positive reciprocal matrix Maximum characteristic root, Characteristic vector;Based on described Maximum characteristic root, characteristic vector, determine the power of the plurality of index Weight.
In some embodiments, the comprehensive weight of object to be tested and assessed described in described calculating includes: Calculate the weight of the plurality of index and described object the to be tested and assessed product for the weight of this index Sum.
On the other hand, this application provides a kind of comprehensive multi-index based on hierarchy Model to survey Device, described device is commented to include: construction unit, for the hierarchical structure of constructing system, described Hierarchical structure includes: test and appraisal target, multiple indexs determined according to described test and appraisal target and multiple Test and appraisal object;Determine unit, for using Paired Comparisons to determine the weight of the plurality of index; Acquiring unit, for obtaining object to be tested and assessed for the property value treating assessment indicator;Judging unit, Described in judging, treat that assessment indicator belongs to qualitative index or quantitative target, if described in treat that test and appraisal refer to Mark belong to qualitative index, then analyze described property value, determine described in object to be tested and assessed for described Treat the weight of assessment indicator, if described in treat that assessment indicator belongs to quantitative target, then based on described genus Property value, by calculating determine described in object to be tested and assessed for the described weight treating assessment indicator, its In, described qualitative index includes: switching mode qualitative index, degree type qualitative index, described fixed Figureofmerit includes: monotone increasing type quantitative target, monotonic decreasing type quantitative target, middle optimum Type quantitative target or two ends optimum type quantitative target;And computing unit, for based on described Treat that the weight of assessment indicator and described object to be tested and assessed are for the described weight treating assessment indicator, meter The comprehensive weight of object to be tested and assessed described in calculation.
In some embodiments, described determine that unit includes: compare subelement, be used for comparing The plurality of index, generates positive reciprocal matrix;Computation subunit, is used for calculating described the most reciprocal The Maximum characteristic root of matrix, characteristic vector;Determine subelement, for based on described maximum feature Root, characteristic vector, determine the weight of the plurality of index.
The comprehensive multi-index assessment method based on hierarchy Model that the application provides, first structure Building the hierarchical structure of system, described hierarchical structure includes: test and appraisal target, according to described test and appraisal mesh Mark the multiple indexs and multiple test and appraisal object determined, then use Paired Comparisons to determine multiple finger Target weight, obtains object to be tested and assessed afterwards for treating the property value of assessment indicator, and judges institute State and treat that assessment indicator belongs to qualitative index or quantitative target, be finally based on described in treat assessment indicator Weight and described object to be tested and assessed for the described weight treating assessment indicator, are waited to test and assess described in calculating The comprehensive weight of object, improves the suitability and automatization's realization degree of assessment method.
Accompanying drawing explanation
By reading retouching in detail with reference to made non-limiting example is made of the following drawings Stating, other features, purpose and advantage will become more apparent upon:
Fig. 1 shows the comprehensive multi-index test and appraisal side based on hierarchy Model that the application provides The flow chart of one embodiment of method;
Fig. 2 shows the example arrangement schematic diagram of the hierarchical structure of constructing system;
Fig. 3 shows the object genus for multiple indexs of testing and assessing in hierarchical structure as shown in Figure 2 The illustrative diagram of property value;
Fig. 4 shows the weight that the qualitative extent grade of degree type qualitative index is corresponding with each grade Illustrative diagram;
Fig. 5 shows comprehensive multi-index based on the hierarchy Model test and appraisal dress that the application provides The structural representation of the embodiment put.
Detailed description of the invention
With embodiment, the application is described in further detail below in conjunction with the accompanying drawings.It is appreciated that , specific embodiment described herein is used only for explaining related invention, rather than to this Bright restriction.It also should be noted that, for the ease of describe, accompanying drawing illustrate only with About the part that invention is relevant.
It should be noted that in the case of not conflicting, the embodiment in the application and embodiment In feature can be mutually combined.Describe this below with reference to the accompanying drawings and in conjunction with the embodiments in detail Application.
Refer to Fig. 1, it illustrates the multi objective based on hierarchy Model that the application provides The flow chart of one embodiment of Comprehensive measurement method.
As it is shown in figure 1, in a step 101, the hierarchical structure of constructing system.
In the present embodiment, when testing and assessing, it is necessary first to the hierarchical structure of constructing system, This hierarchical structure such as may include that test and appraisal target, the multiple indexs determined according to test and appraisal target With multiple test and appraisal objects.The structure of hierarchical structure has typically been come by policymaker or expert manual decision Become.First determine test and appraisal target, after test and appraisal target determines, according to this target determine several with The index that this target is correlated with and test and appraisal object.Index such as may be configured to reaction test and appraisal object Performance, some factors of quality, by index is carried out qualitative or quantitative analysis, reach survey Object is commented to carry out the purpose of comprehensive test.
Refer to Fig. 2, it illustrates the example arrangement schematic diagram of the hierarchical structure of constructing system. As in figure 2 it is shown, test and appraisal target is conditions for running a school 200, determine 5 according to this test and appraisal target Can the index of reactology school conditions for running a school, this index such as may include that raw teacher than 201, Give birth to equal construction area 202, every hundred raw computer quantity 203, part-time full-time teacher's ratios 204, do Learning characteristic degree 205 etc., test and appraisal object is 4 schools: school A206, school B207, School C208, school D209.
Then, in a step 102, Paired Comparisons is used to determine the weight of multiple index.
In the present embodiment, determine that the weight treating assessment indicator such as can be carried out as follows: compare Multiple indexs, generate positive reciprocal matrix;Calculate the Maximum characteristic root of this positive reciprocal matrix, feature Vector;Based on this Maximum characteristic root, characteristic vector, determine the weight of multiple index.The method Can be described as Paired Comparisons.
Then, in step 103, object to be tested and assessed is obtained for the property value treating assessment indicator.
In the present embodiment, object to be tested and assessed can be obtained for be measured by data acquisition Comment the property value of index.
Refer to Fig. 3, it illustrates object of testing and assessing in hierarchical structure as shown in Figure 2 for many The illustrative diagram of the property value of individual index.As it is shown on figure 3, obtain 4 test and appraisal objects It is respectively directed to every hundred raw computer quantity 203, part-time full-time teacher's ratio 204, Characteristics of Running degree The property value of 205.
Afterwards, at step 104, it is judged that treat that assessment indicator belongs to qualitative index or quantitative target, Determine that object to be tested and assessed is for the weight treating assessment indicator.
In the present embodiment, it is judged that treat that assessment indicator belongs to qualitative index or quantitative target, and really Object to be tested and assessed is for the weight treating assessment indicator.Qualitative index includes: the qualitative finger of switching mode Mark, degree type qualitative index, quantitative target includes: under monotone increasing type quantitative target, dullness Fall type quantitative target, middle optimum type quantitative target or two ends optimum type quantitative target.If treating Assessment indicator belongs to qualitative index, then analyze property value, determines that object to be tested and assessed is for waiting to test and assess The weight of index, if treating, assessment indicator belongs to quantitative target, then based on property value, by calculating Determine that object to be tested and assessed is for the weight treating assessment indicator.
In an optional implementation of the present embodiment, treat that assessment indicator is that switching mode is qualitative Index, switching mode qualitative index mainly for qualitative index value include " having ", "None" or "Yes", The value types such as "No".Determine that object to be tested and assessed includes for the weight treating assessment indicator: if Judge object to be tested and assessed is treated assessment indicator for described test and appraisal target as " adding subitem ", it is determined that Object to be tested and assessed is 1 for the weight treating assessment indicator;If judging object to be tested and assessed is waited to test and assess Index is " deduction item " for described test and appraisal target, it is determined that object to be tested and assessed is for treating that test and appraisal refer to Target weight is 0.Such as, in outstanding school tests and assesses, one of which treats that assessment indicator is: Within nearest 3 years, whether school has student prize-winning, if school to be tested and assessed is in national contest "Yes", then this school is " adding subitem " for test and appraisal target, and i.e. this school is for this index Weight is 1;If school to be tested and assessed is "No", then this school is " deduction for test and appraisal target ", i.e. this school is 0 for the weight of this index.If another treats that assessment indicator is: Whether nearly 3 years schools have student's event of dying unexpectedly to occur, if school to be tested and assessed is "Yes", Then this school is " deduction item ", i.e. this school for the weight of this index for test and appraisal target is 0; If school to be tested and assessed is "No", then this school is " adding subitem " for test and appraisal target, i.e. should School is 1 for the weight of this index.
In another optional implementation of the present embodiment, treat that assessment indicator is that degree type is fixed Property index, degree type qualitative index includes " in ", " in Xia " mainly for qualitative index value Deng qualitative extent value value type.Determine that object to be tested and assessed includes for the weight treating assessment indicator: Determine the grade treating assessment indicator in object to be tested and assessed;Based on the weight that grade is corresponding, determine and treat Test and appraisal object is for the weight treating assessment indicator.
Refer to Fig. 4, it illustrates the qualitative extent grade of degree type qualitative index and each grade Corresponding weight illustrative diagram.As shown in Figure 4, the qualitative extent of degree type qualitative index Grade includes following 9 grades: " on ", " on ", " up and down ", " in ", " in In ", " under in ", " on Xia ", " in Xia ", " under Xia ", corresponding weight be respectively as follows: " 1 ", “1/2”、“1/3”、“1/4”、“1/5”、“1/6”、“1/7”、“1/8”、“1/9”.Such as, In example shown in Fig. 2, Characteristics of Running level index is degree type qualitative index, determines 4 Test and appraisal object can be carried out as follows for the weight of this index: according to Fig. 3, and each test and appraisal are right Under on during in as, the grade of this index is respectively as follows: on school A-, on school B-, in school C-, In in school D-;The most as shown in Figure 4, the weight that these 4 grades are corresponding be respectively as follows: in-1/2, Upper upper-1, under-1/6, in-1/5;Thus can determine that each test and appraisal object power for each index Heavily it is respectively as follows: school A-1/2, school B-1, school C-1/6, school D-1/5.
In another optional implementation of the present embodiment, treat that assessment indicator is monotone increasing Type quantitative target, monotone increasing type quantitative target is mainly for test and appraisal object genus under this index Property the index that is the bigger the better of value, i.e. original property value numerical value is the biggest, and test and appraisal object is under this index Weight the highest.Determine that object to be tested and assessed includes for the weight of monotone increasing type quantitative target: Obtain multiple test and appraisal object for the property value treating assessment indicator;Maximum in computation attribute value K1 and minima k2, and calculate the absolute value M of maximum k1 and the difference of minima k2; Judge whether absolute value M is 0;If, then it represents that multiple test and appraisal objects are for the genus of this index Property value is the most identical, i.e. this index is identical on the impact of Te st grogram, thus can determine that wait to test and assess right As being 1 for the weight of this index;If it is not, then calculate the object the to be tested and assessed genus for this index Property value k and minima k2 the absolute value N of difference, and determine that object to be tested and assessed is for this index Weight be N/M.
Such as, in the example shown in Fig. 2, every hundred raw computer quantitative indexes are that monotone increasing type is fixed Figureofmerit, determines that school A such as can be carried out as follows for the weight of this index: obtain 4 The property value of this index in school, as it is shown on figure 3, school A-35, school B-21, school C-47, school D-17;Maximum 47 and the difference of minima 17 in computation attribute value are 30; This difference is not 0, then calculate school A for the property value 35 of this index and minima 17 Difference is 18, and determines that school A is 18/30 for the weight of this index, i.e. 0.6.
In another optional implementation of the present embodiment, treat that assessment indicator is monotonic decreasing Type quantitative target, monotonic decreasing type quantitative target is mainly for test and appraisal object genus under this index Property the smaller the better index of value, i.e. original property value numerical value is the least, and test and appraisal object is under this index Weight the highest.Determine that object to be tested and assessed includes for the weight of monotonic decreasing type quantitative target: Obtain multiple test and appraisal object for the property value treating assessment indicator;Maximum in computation attribute value K1 and minima k2, and calculate the absolute value M of maximum k1 and the difference of minima k2; Judge whether absolute value M is 0;If, then it represents that multiple test and appraisal objects are for the genus of this index Property value is the most identical, i.e. this index is identical on the impact of Te st grogram, thus can determine that wait to test and assess right As being 1 for the weight of this index;If it is not, then calculate maximum k1 and object to be tested and assessed for The absolute value L of the difference of the property value k of this index, and determine that object to be tested and assessed is for this index Weight be L/M.
In another optional implementation of the present embodiment, treat that assessment indicator is middle optimum Type quantitative target, middle optimum type quantitative target is mainly for test and appraisal object genus under this index Property value certain specify interval in weight the highest, specifying interval outer weight reduction, and distance This most remote weight in appointment interval is the lowest.The interval specified usually those skilled in the art have common recognition Constant.Determine that object to be tested and assessed includes for the weight of middle optimum type quantitative target: obtain Multiple test and appraisal objects are for the property value of this index;Obtain optimum interval first boundary value A1, The second boundary value A2, first boundary value A1 is less than or equal to the second boundary value A2, and calculates The intermediate value A=(A2+A1)/2 of optimum interval;Judge that whether first boundary value A1 is equal to second Boundary value A2;If, then it represents that optimum interval is a point, computation attribute value and optimum interval The absolute value of intermediate value A difference, and calculate the maximum X of absolute value;Judge maximum X Whether equal to 0;If, then it represents that multiple test and appraisal objects are equal to for the property value of this index Optimum interval point value, so can determine that object to be tested and assessed is 1 for the weight treating assessment indicator; If it is not, then calculate object to be tested and assessed in property value k and the optimum interval for the treatment of assessment indicator Between be worth the absolute value B of A difference, and determine that object to be tested and assessed for the weight treating assessment indicator is (X-B)/X。
Alternatively or additionally, the object the to be tested and assessed power for middle optimum type quantitative target is determined Escheat includes: if first boundary value A1 is not equal to the second boundary value A2, then judge to wait to test and assess right As whether being positioned at optimum interval for the property value k treating assessment indicator;If, it is determined that treat Test and appraisal object is 1 for the weight treating assessment indicator;If not, it is determined that object to be tested and assessed for Treat that the weight of assessment indicator is for (A2-A1)/2B.
Such as, in the example shown in Fig. 2, part-time full-time teacher's ratio index is middle optimum type Quantitative target, determines that school A such as can be carried out as follows for the weight of this index: obtain 4 The property value of this index in individual school, as it is shown on figure 3, school A-10%, school B-35%, School C-50%, school D-15%;Under this index, optimum interval can be such as 15%-25%, The first boundary value of this optimum interval 15% is not equal to the second boundary value 25%, calculates optimum interval Intermediate value be 20%;School A for the property value 10% of this index not at optimum interval In 15%-25%, then calculate school A for this index property value 10% with in optimum interval Between to be worth the absolute value of 20% difference be 10%, and determine that school A for the weight of this index is 25%-15%/2*10%, i.e. 0.5.
In another optional implementation of the present embodiment, treat that assessment indicator is that two ends are optimum Type quantitative target, two ends optimum type quantitative target is mainly for test and appraisal object genus under this index Property value certain specify interval in weight minimum, specifying interval outer weight increase, and distance This most remote weight in appointment interval is the highest.The interval specified usually those skilled in the art have common recognition Constant.Determine that object to be tested and assessed includes for the weight of two ends optimum type quantitative target: obtain Multiple test and appraisal objects are for the property value of this index;Obtain worst interval first boundary value A1, The second boundary value A2, first boundary value A1 is less than or equal to the second boundary value A2, and calculates The intermediate value A=(A2+A1)/2 in worst interval;Judge that whether first boundary value A1 is equal to second Boundary value A2;If, then it represents that worst interval is a point, computation attribute value and worst interval The absolute value of intermediate value A difference, and calculate the maximum X of absolute value;Judge maximum X Whether equal to 0;If, then it represents that multiple test and appraisal objects are equal to for the property value of this index Worst interval point value, so can then determine that object to be tested and assessed is 0 for the weight of this index;If No, then calculate the intermediate value A of the object the to be tested and assessed property value k for this index and worst interval The absolute value B of difference, and determine that object to be tested and assessed is B/X for the weight of this index.
Alternatively or additionally, the object the to be tested and assessed power for two ends optimum type quantitative target is determined Escheat includes: if first boundary value A1 is not equal to the second boundary value A2, then judge to wait to test and assess right As whether being positioned at worst interval for the property value k treating assessment indicator;If, it is determined that treat Test and appraisal object is 0 for the weight of this index;If not, it is determined that object to be tested and assessed refers to for this Target weight is 1-(A2-A1)/2B.
Finally, in step 105, based on treat the weight of assessment indicator and object to be tested and assessed for Treat the weight of assessment indicator, calculate the comprehensive weight of object to be tested and assessed.
In the present embodiment, the comprehensive weight calculating object to be tested and assessed such as can be carried out as follows: Calculate the weight of multiple index and object the to be tested and assessed product for the weight of this index, then phase Add summation, i.e. obtain the comprehensive weight of object to be tested and assessed.
The comprehensive multi-index assessment method based on hierarchy Model that the present embodiment provides, first The hierarchical structure of constructing system, this hierarchical structure includes: test and appraisal target, according to described test and appraisal mesh Mark the multiple indexs and multiple test and appraisal object determined, then use Paired Comparisons to determine and wait to test and assess The weight of index, obtains object to be tested and assessed afterwards for the described property value treating assessment indicator, and Judge to treat that assessment indicator belongs to qualitative index or quantitative target, be finally based on the power treating assessment indicator Weight and object to be tested and assessed, for treating the weight of assessment indicator, calculate the comprehensive weight of object to be tested and assessed. The method increase the suitability and automatization's realization degree of assessment method.
With further reference to Fig. 5, it illustrates the many based on hierarchy Model of the application offer The structural representation of one embodiment of index comprehensive assessment device.
As it is shown in figure 5, the comprehensive multi-index based on hierarchy Model that the present embodiment provides is surveyed Device is commented to include: construction unit 501, to determine unit 502, acquiring unit 503, judging unit 504 and computing unit 505.Wherein, construction unit 501 is used for the hierarchical structure of constructing system, This hierarchical structure includes: test and appraisal target, the multiple indexs determined according to test and appraisal target and multiple survey Comment object;Determine that unit 502 is for using Paired Comparisons to determine the weight of the plurality of index; Acquiring unit 503 is for obtaining object to be tested and assessed for the property value treating assessment indicator;Judge single Unit 504 treats that assessment indicator belongs to qualitative index or quantitative target, if treating assessment indicator for judgement Belong to qualitative index, then analyze property value, determine that object to be tested and assessed is for the power treating assessment indicator Weight, if treating, assessment indicator belongs to quantitative target, then based on property value, determined to be measured by calculating Commenting object for treating the weight of assessment indicator, wherein, qualitative index includes: the qualitative finger of switching mode Mark, degree type qualitative index, quantitative target includes: under monotone increasing type quantitative target, dullness Fall type quantitative target, middle optimum type quantitative target or two ends optimum type quantitative target;Calculate Unit 505 is for based on treating that the weight of assessment indicator and object to be tested and assessed are for treating assessment indicator Weight, calculates the comprehensive weight of object to be tested and assessed.
In an optional implementation of the present embodiment, determine that unit 502 may include that Relatively subelement, for relatively multiple indexs, generates positive reciprocal matrix;Computation subunit, uses In calculating the Maximum characteristic root of positive reciprocal matrix, characteristic vector;Determine subelement, for based on Maximum characteristic root, characteristic vector, determine the weight of multiple index.
Should be appreciated that the comprehensive multi-index assessment device based on hierarchy Model that Fig. 5 describes Described in all unit or module with reference to Fig. 1-4 describe method in each step corresponding. Thus, above with respect to method describe operation and feature be equally applicable to Fig. 5 describe device and The unit wherein comprised, does not repeats them here.
It is described in the embodiment of the present application involved unit or module can be by the side of software Formula realizes, it is also possible to realize by the way of hardware.Described unit or module can also Arrange within a processor, for example, it is possible to be described as: a kind of processor includes construction unit, really Cell, acquiring unit, judging unit and computing unit.Wherein, these unit or module Title be not intended that under certain conditions this unit or the restriction of module itself, such as, structure Build unit and be also described as " for the unit of hierarchical structure of constructing system ".
As on the other hand, present invention also provides a kind of computer-readable recording medium, this meter Calculation machine readable storage medium storing program for executing can be that computer included in device described in above-described embodiment can Read storage medium;Can also be individualism, the computer-readable storage being unkitted in the equipment of allocating into Medium.Computer-readable recording medium storage has one or more than one program, described program The comprehensive multi-index being used for performing to be described in the application by one or more than one processor is surveyed Comment method.
Above description is only the preferred embodiment of the application and saying institute's application technology principle Bright.It will be appreciated by those skilled in the art that invention scope involved in the application, do not limit In the technical scheme of the particular combination of above-mentioned technical characteristic, also should contain simultaneously without departing from In the case of described inventive concept, above-mentioned technical characteristic or its equivalent feature carry out combination in any And other technical scheme formed.Such as features described above and (but not limited to) disclosed herein The technical characteristic with similar functions is replaced mutually and the technical scheme that formed.

Claims (13)

1. a comprehensive multi-index assessment method based on hierarchy Model, it is characterised in that Described method includes:
The hierarchical structure of constructing system, described hierarchical structure includes: test and appraisal target, according to described Test and appraisal multiple indexs of determining of target and multiple test and appraisal object;
Paired Comparisons is used to determine the weight of the plurality of index;
Obtain object to be tested and assessed for the property value treating assessment indicator;
Treat described in judgement that assessment indicator belongs to qualitative index or quantitative target,
Treat described in if that assessment indicator belongs to qualitative index, then analyze described property value, determine described Object to be tested and assessed for the described weight treating assessment indicator,
Treat described in if that assessment indicator belongs to quantitative target, then based on described property value, by calculating Object to be tested and assessed described in determining for the described weight treating assessment indicator,
Wherein, described qualitative index includes: switching mode qualitative index, degree type qualitative index, Described quantitative target includes: monotone increasing type quantitative target, monotonic decreasing type quantitative target, in Between optimum type quantitative target or two ends optimum type quantitative target;And
Treat that test and appraisal refer to based on the described weight treating assessment indicator and described object to be tested and assessed for described Target weight, the comprehensive weight of object to be tested and assessed described in calculating.
Method the most according to claim 1, it is characterised in that described in treat that assessment indicator is Switching mode qualitative index, described determine described in object to be tested and assessed for the described power treating assessment indicator Heavily include:
If treating described in object to be tested and assessed described in Pan Duaning, assessment indicator for described test and appraisal target is " add subitem ", it is determined that described in object to be tested and assessed be 1 for the described weight treating assessment indicator;
If treating described in object to be tested and assessed described in Pan Duaning, assessment indicator for described test and appraisal target is " deduction item ", it is determined that described in object to be tested and assessed be 0 for the described weight treating assessment indicator.
Method the most according to claim 1, it is characterised in that described in treat that assessment indicator is Degree type qualitative index, described determine described in object to be tested and assessed for the described power treating assessment indicator Heavily include:
The grade of assessment indicator is treated described in object to be tested and assessed described in determining;
Based on the weight that described grade is corresponding, determine described in object to be tested and assessed test and assess for described waiting The weight of index.
Method the most according to claim 1, it is characterised in that described in treat that assessment indicator is Monotone increasing type quantitative target, described by calculating determine described in object to be tested and assessed treat for described The weight of assessment indicator includes:
Obtain the plurality of test and appraisal object for the described property value treating assessment indicator;
Calculate the maximum k1 in described property value and minima k2, and calculate described maximum The absolute value M of the difference of k1 and described minima k2;
Judge whether described absolute value M is 0;
If object to be tested and assessed described in, it is determined that is 1 for the described weight treating assessment indicator;
If it is not, object test and assess described in then calculating for the described property value k treating assessment indicator and The absolute value N of the difference of described minima k2, and object to be tested and assessed described in determining treats for described The weight of assessment indicator is N/M.
Method the most according to claim 1, it is characterised in that described in treat that assessment indicator is Monotonic decreasing type quantitative target, described by calculating determine described in object to be tested and assessed treat for described The weight of assessment indicator includes:
Obtain the plurality of test and appraisal object for the described property value treating assessment indicator;
Calculate the maximum k1 in described property value and minima k2, and calculate described maximum The absolute value M of the difference of k1 and described minima k2;
Judge whether described absolute value M is 0;
If object to be tested and assessed described in, it is determined that is 1 for the described weight treating assessment indicator;
If it is not, then calculate described maximum k1 to treat that test and appraisal refer to described object to be tested and assessed for described The absolute value L of the difference of target property value k, and object to be tested and assessed described in determining treats for described The weight of assessment indicator is L/M.
Method the most according to claim 1, it is characterised in that described in treat that assessment indicator is Middle optimum type quantitative target, described by calculating determine described in object to be tested and assessed treat for described The weight of assessment indicator includes:
Obtain the plurality of test and appraisal object for the described property value treating assessment indicator;
Obtain the first boundary value A1 of optimum interval, the second boundary value A2, described first border Value A1 is less than or equal to described the second boundary value A2, and calculates the intermediate value of described optimum interval A=(A2+A1)/2;
Judge that whether described first boundary value A1 is equal to the second boundary value A2;
The most then calculate the absolute of described property value and the intermediate value A difference of described optimum interval Value, and calculate the maximum X of described absolute value;
Judge that whether described maximum X is equal to 0;
If object to be tested and assessed described in, it is determined that is 1 for the described weight treating assessment indicator;
If it is not, object test and assess described in then calculating for the described property value k treating assessment indicator and The absolute value B of the intermediate value A difference of described optimum interval, and object pin to be tested and assessed described in determining It is (X-B)/X to the described weight treating assessment indicator.
Method the most according to claim 6, it is characterised in that described method also includes:
If described first boundary value A1 is not equal to the second boundary value A2, then wait to test and assess described in judgement Whether object is positioned at described optimum interval for the described property value k treating assessment indicator;
If object to be tested and assessed described in, it is determined that is 1 for the described weight treating assessment indicator;
If not, it is determined that described in object to be tested and assessed for the described weight treating assessment indicator be (A2-A1)/2B。
Method the most according to claim 1, it is characterised in that described in treat that assessment indicator is Two ends optimum type quantitative target, described by calculating determine described in object to be tested and assessed treat for described The weight of assessment indicator includes:
Obtain the plurality of test and appraisal object for the described property value treating assessment indicator;
Obtain the first boundary value A1 in worst interval, the second boundary value A2, described first border Value A1 is less than or equal to described the second boundary value A2, and calculates the intermediate value in described worst interval A=(A2+A1)/2;
Judge that whether described first boundary value A1 is equal to the second boundary value A2;
The most then calculate the absolute of described property value and the intermediate value A difference in described worst interval Value, and calculate the maximum X of described absolute value;
Judge that whether described maximum X is equal to 0;
If object to be tested and assessed described in, it is determined that is 0 for the described weight treating assessment indicator;
If it is not, object test and assess described in then calculating for the described property value k treating assessment indicator and The absolute value B of the intermediate value A difference in described worst interval, and object pin to be tested and assessed described in determining It is B/X to the described weight treating assessment indicator.
Method the most according to claim 8, it is characterised in that described method also includes:
If described first boundary value A1 is not equal to the second boundary value A2, then wait to test and assess described in judgement Whether object is positioned at described worst interval for the described property value k treating assessment indicator;
If object to be tested and assessed described in, it is determined that is 0 for the described weight treating assessment indicator;
If not, it is determined that described in object to be tested and assessed for the described weight treating assessment indicator be 1-(A2-A1)/2B。
10. according to the arbitrary described method of claim 1-9, it is characterised in that described determine The weight of the plurality of index includes:
Relatively the plurality of index, generates positive reciprocal matrix;
Calculate the Maximum characteristic root of described positive reciprocal matrix, characteristic vector;
Based on described Maximum characteristic root, characteristic vector, determine the weight of the plurality of index.
11. methods according to claim 10, it is characterised in that treat described in described calculating The comprehensive weight of test and appraisal object includes:
Calculate the weight of the plurality of index and described object the to be tested and assessed weight for this index The sum of product.
12. 1 kinds of comprehensive multi-index assessment devices based on hierarchy Model, it is characterised in that Described device includes:
Construction unit, for the hierarchical structure of constructing system, described hierarchical structure includes: test and appraisal Target, the multiple indexs determined according to described test and appraisal target and multiple test and appraisal object;
Determine unit, for using Paired Comparisons to determine the weight of the plurality of index;
Acquiring unit, for obtaining object to be tested and assessed for the property value treating assessment indicator;
Judging unit, be used for judging described in treat that assessment indicator belongs to qualitative index or quantitative target,
Treat described in if that assessment indicator belongs to qualitative index, then analyze described property value, determine described Object to be tested and assessed for the described weight treating assessment indicator,
Treat described in if that assessment indicator belongs to quantitative target, then based on described property value, by calculating Object to be tested and assessed described in determining for the described weight treating assessment indicator,
Wherein, described qualitative index includes: switching mode qualitative index, degree type qualitative index, Described quantitative target includes: monotone increasing type quantitative target, monotonic decreasing type quantitative target, in Between optimum type quantitative target or two ends optimum type quantitative target;And
Computing unit, for based on the described weight treating assessment indicator and described object pin to be tested and assessed To the described weight treating assessment indicator, the comprehensive weight of object to be tested and assessed described in calculating.
13. devices according to claim 12, it is characterised in that described determine unit bag Include:
Relatively subelement, for relatively the plurality of index, generates positive reciprocal matrix;
Computation subunit, for calculating the Maximum characteristic root of described positive reciprocal matrix, characteristic vector;
Determine subelement, for based on described Maximum characteristic root, characteristic vector, determine described many The weight of individual index.
CN201510020508.2A 2015-01-15 2015-01-15 Multi-index comprehensive evaluation method and multi-index comprehensive evaluation device based on hierarchical structure model Pending CN105844374A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510020508.2A CN105844374A (en) 2015-01-15 2015-01-15 Multi-index comprehensive evaluation method and multi-index comprehensive evaluation device based on hierarchical structure model

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510020508.2A CN105844374A (en) 2015-01-15 2015-01-15 Multi-index comprehensive evaluation method and multi-index comprehensive evaluation device based on hierarchical structure model

Publications (1)

Publication Number Publication Date
CN105844374A true CN105844374A (en) 2016-08-10

Family

ID=56579994

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510020508.2A Pending CN105844374A (en) 2015-01-15 2015-01-15 Multi-index comprehensive evaluation method and multi-index comprehensive evaluation device based on hierarchical structure model

Country Status (1)

Country Link
CN (1) CN105844374A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106845833A (en) * 2017-01-20 2017-06-13 广东广业开元科技有限公司 A kind of processing system based on the compound making assessments of the performance of each enterprise's achievement of big data
CN107862456A (en) * 2017-11-02 2018-03-30 江苏中烟工业有限责任公司 A kind of method of batch quality of tobacco overall merit
CN113240325A (en) * 2021-06-02 2021-08-10 平安科技(深圳)有限公司 Data processing method, device, equipment and storage medium

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106845833A (en) * 2017-01-20 2017-06-13 广东广业开元科技有限公司 A kind of processing system based on the compound making assessments of the performance of each enterprise's achievement of big data
CN107862456A (en) * 2017-11-02 2018-03-30 江苏中烟工业有限责任公司 A kind of method of batch quality of tobacco overall merit
CN107862456B (en) * 2017-11-02 2020-08-11 江苏中烟工业有限责任公司 Method for comprehensively evaluating quality of batch tobacco leaves
CN113240325A (en) * 2021-06-02 2021-08-10 平安科技(深圳)有限公司 Data processing method, device, equipment and storage medium
CN113240325B (en) * 2021-06-02 2024-02-02 平安科技(深圳)有限公司 Data processing method, device, equipment and storage medium

Similar Documents

Publication Publication Date Title
Zhou et al. Type-2 fuzzy multi-objective DEA model: An application to sustainable supplier evaluation
Xu et al. Evaluating component solver contributions to portfolio-based algorithm selectors
Hayashi et al. A holistic sustainability assessment tool for bioenergy using the Global Bioenergy Partnership (GBEP) sustainability indicators
Guru et al. A comparative study on performance measurement of Indian public sector banks using AHP-TOPSIS and AHP-grey relational analysis
Kadziński et al. Integrated framework for robustness analysis using ratio-based efficiency model with application to evaluation of Polish airports
CN106682809A (en) Enterprise BIM technology application capability quantification assessment method
Miccoli et al. Assessing project quality: A multidimensional approach
Xu Sustainability prioritization of energy systems by developing an integrated decision support framework with hybrid-data consideration
Sitnicki et al. Interdependence assessing for networked readiness index economic and social informative factors
Haghighi et al. Applying mining schemes to software fault prediction: A proposed approach aimed at test cost reduction
CN105844374A (en) Multi-index comprehensive evaluation method and multi-index comprehensive evaluation device based on hierarchical structure model
Soltanifar et al. Predicting defectiveness of software patches
Vanli Ranking of global smart cities using dynamic factor analysis
MacCalman et al. Multiobjective decision analysis with probability management for systems engineering trade-off analysis
Sigal et al. Concerning some aspects of consideration of risk component in investment project efficiency evaluation
Guo et al. Selection of suppliers based on rough set theory and VIKOR algorithm
CN114912341A (en) Combined prediction method for communication equipment repair spare part consumption
Fritsche et al. Capturing relationships in multi-objective optimization
CN113837368A (en) Control method and device for evaluating data value of each participant in federal learning
Baudry et al. A range based Multi-Actor Multicriteria Analysis to incorporate uncertainty in stakeholder based evaluation processes
CN106301880A (en) One determines that cyberrelationship degree of stability, Internet service recommend method and apparatus
Litvinchev et al. An interactive algorithm for portfolio bi-criteria optimization of R&D projects in public organizations
López Gómez Four essays on institutions and economics
Schubert et al. A comparative study between using A*-search, Latin Hypercube and genetic algorithms in design of experiment for simulation of military operational plans
KR102519812B1 (en) System for mass valuation of patent

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20160810

RJ01 Rejection of invention patent application after publication