On Multicriteria Choice Based on Type-2 Fuzzy Preference Relation: an Axiomatic Approach

V. Noghin, O. Baskov
{"title":"On Multicriteria Choice Based on Type-2 Fuzzy Preference Relation: an Axiomatic Approach","authors":"V. Noghin, O. Baskov","doi":"10.1109/FUZZ45933.2021.9494489","DOIUrl":null,"url":null,"abstract":"A multicriteria choice problem is considered. The setting of this problem includes three objects, namely, a set of feasible alternatives, a numerical vector criterion, and a decision maker's binary strict preference relation. The Edgeworth — Pareto principle is a fundamental instrument to solve multi-criteria problems. Previously, the validity of this principle was established in the case of a crisp as well as a type-1 fuzzy preference relation. We assume that the preference relation is a type-2 fuzzy relation. Under two reasonable axioms the Edgeworth—Pareto principle is established. In accordance with the first axiom, an alternative not chosen in a pair should not be selected from the whole set of feasible alternatives. The second axiom is the Pareto axiom, which provides greater preference for those alternatives that have larger (smaller) values of one or more criteria.","PeriodicalId":151289,"journal":{"name":"2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUZZ45933.2021.9494489","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

A multicriteria choice problem is considered. The setting of this problem includes three objects, namely, a set of feasible alternatives, a numerical vector criterion, and a decision maker's binary strict preference relation. The Edgeworth — Pareto principle is a fundamental instrument to solve multi-criteria problems. Previously, the validity of this principle was established in the case of a crisp as well as a type-1 fuzzy preference relation. We assume that the preference relation is a type-2 fuzzy relation. Under two reasonable axioms the Edgeworth—Pareto principle is established. In accordance with the first axiom, an alternative not chosen in a pair should not be selected from the whole set of feasible alternatives. The second axiom is the Pareto axiom, which provides greater preference for those alternatives that have larger (smaller) values of one or more criteria.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于二类模糊偏好关系的多准则选择:一种公理化方法
考虑了一个多准则选择问题。该问题的设置包括三个对象,即可行方案集、数值向量准则和决策者的二元严格偏好关系。埃奇沃斯-帕累托原理是解决多准则问题的基本工具。在此之前,该原则的有效性是建立在一个清晰的情况下,以及一个类型1模糊偏好关系。我们假设偏好关系为二类模糊关系。在两个合理的公理下,建立了Edgeworth-Pareto原理。根据第一个公理,没有在一对中被选择的方案不应该从整个可行方案集合中被选择。第二个公理是帕累托公理,它为那些具有一个或多个标准的较大(较小)值的替代方案提供了更大的偏好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
XAI Models for Quality of Experience Prediction in Wireless Networks Application of the Fuzzy Logic to Evaluation and Selection of Attribute Ranges in Machine Learning Kernel-Based k-Representatives Algorithm for Fuzzy Clustering of Categorical Data Necessary and sufficient condition for the existence of Atanassov's Intuitionistic Fuzzy based additive definite integral Identifying and Rectifying Rational Gaps in Fuzzy Rule Based Systems for Regression Problems
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1