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Index weight distribution method based on AHP and expert sorting empowerment

A technology of index weights and distribution methods, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems affecting decision-making quality, etc.

Active Publication Date: 2015-12-09
ZHEJIANG UNIV OF TECH
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AI Technical Summary

Problems solved by technology

Group decision-making is based on the collective wisdom of multiple participants, which has the positive effect of being able to make objective assessments and brainstorming, but also has the negative effect of personal extreme preferences that affect the quality of decision-making

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  • Index weight distribution method based on AHP and expert sorting empowerment
  • Index weight distribution method based on AHP and expert sorting empowerment
  • Index weight distribution method based on AHP and expert sorting empowerment

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Embodiment Construction

[0037] With reference to accompanying drawing, further illustrate the specific implementation of the present invention:

[0038] The index distribution weight method based on AHP and expert ranking weighting of the present invention comprises the following steps:

[0039] 1) Based on the expert's personal judgment, construct the expert's individual judgment matrix matrix A e ;

[0040] 2) The weight calculation process of a group decision index is as follows: assign the same weight to each expert, on this basis, construct a group judgment matrix A a , and calculate the group decision index weight vector U a ;

[0041] 3) According to the closeness of the expert's individual judgment to a group decision-making, the experts are sorted and the weighting process is as follows: based on each expert's individual judgment matrix A e Calculate the expert individual judgment index weight vector U e , based on U e and U a Calculate the closeness of the expert's individual judgmen...

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Abstract

The invention discloses an index weight distribution method based on an AHP and expert sorting empowerment. The method comprises the following implementation steps that 1, an individual judgment matrix Ae of experts is built on the basis of individual judgments of the experts, and the individual judgment matrix needs to be processed through consistency verification; 2, the same weight is given to each expert to build a primary group judgment matrix Aa, and a primary group decision index weight vector Ua is calculated; 3, different weights we are given to the experts according to expert sorting; 4, a secondary group decision index weight vector Ub is calculated; 5, index weights are output according to the Ub. According to the method, the positive effect of group decision and brainstorming of the experts is effectively achieved, and meanwhile the negative influence of individual extreme preferences in the group decision on the decision is effectively corrected; compared with an index weight distribution method based on the AHP and expert clustering, the method has the advantages that expert clustering iteration computation does not need to be performed, expert clustering convergence conditions do not need to be determined, the calculating steps are clear, and the calculating amount is less.

Description

technical field [0001] The invention belongs to the field of group decision-making index weighting, and in particular relates to an index weight distribution method based on AHP and expert sorting weighting. technical background [0002] Assigning weights to indicators is an important step in evaluation and decision-making. It is a common method to assign weights to evaluation indicators using AHP (Analytic Hierarchy Process), which usually requires multiple experts to weight indicators together. In expert group decision-making, each expert has different knowledge background, personal experience and occupational preferences, and different understanding of the evaluation plan, and the weight of each expert should also be different. Therefore, it is important to empower experts in group decision-making. important elements of decision-making. At present, the method of expert clustering and weighting based on expert evaluation results in the literature is not convincing because...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 杨玉兰
Owner ZHEJIANG UNIV OF TECH
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