Research on Multiple-attribute Decision Making Problems based on the Superiority Index

Abstract

For the unsure attribute weights problem of multiple attribute decision, the paper proposes the superiority index relationship between the decision-making object and the ideal object has the relation of equivalence with the probability measure of attribute value. According to minimal and maximal rules, this paper propose the measurement of attribute value based on superiority index relationship. Then following the superiority index relationship between each decision making object and overall object, the information weights are ranked and picked over. Finally, the probabilistic multi-attribute decision making problem of using attribute value as interval number is analyzed. At the same time, the characters between maximizing deviations and the algorithm proposed are compared, which shows the effectiveness of the algorithm.

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

Maximizing deviations algorithm; Multiple-attribute decision making problems; Probability superiority index; The attribute weights; The ideal point

International Standard Serial Number (ISSN)

1001-0920

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2025 Northen University in China, All rights reserved.

Publication Date

01 Jul 2010

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