[1]ZHAO Ke-qin.Decision making algorithm based on set pair analysis for use when facing multiple uncertain attributes[J].CAAI Transactions on Intelligent Systems,2010,5(1):41-50.
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Decision making algorithm based on set pair analysis for use when facing multiple uncertain attributes

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 5 Number of periods: 2010 1 Page number: 41-50 Column: 学术论文—人工智能基础 Public date: 2010-02-25
Title:
Decision making algorithm based on set pair analysis for use when facing multiple uncertain attributes
Author(s):
ZHAO Ke-qin
Institute of Zhuji Connection Number, Zhuji 311811, China
Keywords:
uncertainty;  multiple attribute decision making;  fuzzy number;  connection number;  set pair analysis
CLC:
TP18
DOI:
-
Abstract:
To help those making decisions when faced with multiple uncertainties, a theory was put forward that in statistics, the average and variance of characteristic parameters of a sample have the characteristic parameters of a fuzzy number. This includes interval number, triangular fuzzy number , and trapezoidal fuzzy number. Average + variance was shown as a connection number A+Bi .The modular of average + variance was then calculated according to connection number theory in set pair analysis. The module, representing the weight and value of attributes, can be employed to help make decisions when there are multiple uncertain attributes. The method is simple and practical. Taking various values of ｉ, the effect of uncertainty on sorting can be determined. Practical examples were used to demonstrate the feasibility and effectiveness of the proposed theory. 
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Last Update: 2010-04-06

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