NDLI: A new fuzzy ranking method using fuzzy preference relations

Content Provider	IEEE Xplore Digital Library
Author	Kok Chin Chai Kai Meng Tay Chee Peng Lim
Copyright Year	2014
Description	Author affiliation: Centre for Intell. Syst. Res., Deakin Univ., Geelong, VIC, Australia (Chee Peng Lim) \|\| Univ. Malaysia Sarawak, Kota Samarahan, Malaysia (Kok Chin Chai; Kai Meng Tay)
Abstract	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.
Starting Page	293
Ending Page	297
File Size	3443476
Page Count	5
File Format	PDF
e-ISBN	9781479920723
DOI	10.1109/FUZZ-IEEE.2014.6891610
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy sets Decision making Time complexity Indexes Frequency selective surfaces Shape Benchmark testing properties Fuzzy ranking fuzzy preference relations type-1 and interval type-2 fuzzy sets fuzzy ordering
Content Type	Text
Resource Type	Article

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