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A new fuzzy ranking method using fuzzy preference relations

Version 2 2024-06-06, 08:05
Version 1 2015-03-11, 15:10
conference contribution
posted on 2024-06-06, 08:05 authored by KC Chai, KM Tay, Chee Peng Lim
In this paper, a new fuzzy ranking method for both type-1 and interval type-2 fuzzy sets (FSs) using fuzzy preference relations is proposed. The use of fuzzy preference relations to rank FSs with vertices has been introduced, and successfully implemented to undertake fuzzy multiple criteria hierarchical group decision-making problems. The proposed fuzzy ranking method is an extension of the results published in [1], and it is able to rank FSs with and without vertices. Besides that, it is important for a fuzzy ranking method to satisfy six reasonable fuzzy ordering properties as discussed in [6]-[8]. As a result, the capability of the proposed fuzzy ranking method in fulfilling these properties is analyzed and discussed. Issues related to time complexity of the proposed method are also examined.

History

Pagination

293-297

Location

Beijing, China

Start date

2014-07-06

End date

2014-07-11

ISSN

1098-7584

ISBN-13

9781479920723

Language

eng

Publication classification

E Conference publication, E1 Full written paper - refereed

Copyright notice

2014, IEEE

Editor/Contributor(s)

[Unknown]

Title of proceedings

FUZZ-IEEE 2014 : Proceedings of the 2014 IEEE International Conference on Fuzzy Systems

Event

IEEE International Conference on Fuzzy Systems (2014 : Beijing, China)

Publisher

IEEE

Place of publication

Piscataway, N.J.