A Comprehensive Evaluation Method of Node Effectiveness based on Multi-identity and Multi-attribute Decision-making

2018 ◽  
Author(s):  
Yu Gong ◽  
Mingchun Zheng
Keyword(s):  
Decision Making ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Comprehensive Evaluation Method ◽  
Multi Attribute Decision Making

Research on Ranking Model Based on Multi-User Attribute Comprehensive Evaluation Method

2014 ◽  
Vol 644-650 ◽  
pp. 2399-2402 ◽  
Author(s):  
Xiao Lin Xu ◽  
Guang Lin Xu ◽  
Jia Li Feng
Keyword(s):  
Decision Making ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Typical Pattern ◽  
Comprehensive Evaluation Method ◽  
Object System ◽  
Model Based ◽  
Ranking Model ◽  
Evaluation Group ◽  
Multiple Attributes

In evaluation and decision-making, for an object system with multiple attributes and indicators, it is a typical pattern to calculate an assessment value on each object using some methods to get the ranking of objects, so as to choose the best according to sorting result of the values.The paper establishes the evaluation ranking model on the basis of multi-user attribute comprehensive evaluation method which focuses on how to give a comprehensive evaluation on objects taking the users’ preferences on different attributes in an evaluation group into account,and thereby produce evaluation values and sorting results of objects.Simulation verifies the ranking model in evaluation and decision-making.

Comprehensive Evaluation of Power Quality Based on the Integration of Rough Set and Evidence Theory

2013 ◽  
Vol 291-294 ◽  
pp. 1336-1345
Author(s):  
Shang Yuang Li
Keyword(s):  
Decision Making ◽  
Power Quality ◽  
Rough Set ◽  
Evaluation Method ◽  
Rough Set Theory ◽  
Comprehensive Evaluation ◽  
Evidence Theory ◽  
Comprehensive Evaluation Method ◽  
Basic Probability ◽  
Pros And Cons

In order to assess the power quality objectively and effectively, a comprehensive evaluation method of power quality based on rough set and D-S evidence theory has been proposed in this paper. The method combines rough set theory by means of defining the decision-making strength and expansion rules and using the decision-making table to obtain the basic probability assignment of D-S evidence theory, then by applying the fusion rules of evidence theory to integrate the various indicators of power quality, the pros and cons of ordering from each power quality evaluations can be obtained to achieve a comprehensive evaluation of power quality. The examples show that the results of power quality evaluation are more objective and rational by using this method. So it can prove the correctness and superiority of this method.

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