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Criteria for evaluating fuzzy ranking methods

Journal article

Criteria for evaluating fuzzy ranking methods

Abstract

In this paper four criteria for evaluating fuzzy ranking methods are investigated: fuzzy preference representation, rationality of fuzzy ordering, distinguishability, and robustness. Based on these criteria, two existing ranking methods (Baas and Kwakernaak's and Nakamura's) are evaluated and a new, improved ranking method is suggested.

Authors

Yuan Y

Journal

Fuzzy Sets and Systems, Vol. 43, No. 2, pp. 139–157

Publisher

Elsevier

Publication Date

September 25, 1991

DOI

10.1016/0165-0114(91)90073-y

ISSN

0165-0114

Associated Experts

Yufei Yuan

Professor, Information Systems

Labels

Fields of Research (FoR)

4605 Data Management and Data Science 46 Information and Computing Sciences 4602 Artificial intelligence 4903 Numerical and computational mathematics 4904 Pure mathematics

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