基于第二类模糊偏好关系信息的帕累托集合还原。算法说明

IF 0.4 Q4 INFORMATION SCIENCE & LIBRARY SCIENCE

Scientific and Technical Information Processing Pub Date : 2023-12-01 DOI:10.3103/s0147688223060023

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引用次数: 0

摘要

摘要本文考虑了一个多标准选择问题，即决策者的偏好使用二类模糊二元关系表示。本文提出了一种基于决策者偏好的模糊量子信息的帕累托集缩小算法。还讨论了其应用实例。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Pareto Set Reduction Based on Information about Type Two Fuzzy Preference Relation. Algorithm Description

Abstract

A multicriteria choice problem is considered in the case when the preferences of a decision maker are expressed using a type two fuzzy binary relation. A Pareto set reduction algorithm based on fuzzy quanta of information about the preferences of the decision maker is presented. An example of its application is also discussed.

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来源期刊

Scientific and Technical Information Processing INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

1.00

自引率

42.90%

发文量

期刊介绍： Scientific and Technical Information Processing is a refereed journal that covers all aspects of management and use of information technology in libraries and archives, information centres, and the information industry in general. Emphasis is on practical applications of new technologies and techniques for information analysis and processing.