Methods in Ranking Fuzzy Numbers: A Unified Index and Comparative Reviews

Fuzzy set theory, extensively applied in abundant disciplines, has been recognized as a plausible tool in dealing with uncertain and vague information due to its prowess in mathematically manipulating the knowledge of imprecision. In fuzzy-data comparisons, exploring the general ranking measure that...

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Bibliographic Details
Published inComplexity (New York, N.Y.) Vol. 2017; no. 2017; pp. 1 - 13
Main Author Nguyen, Thanh-Lam
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Publishing Corporation 01.01.2017
Hindawi
John Wiley & Sons, Inc
Wiley
Subjects
Analysis
Applied mathematics
Attitudes
Computer vision
Consistency
Decision making
Fuzzy algorithms
Fuzzy logic
Fuzzy set theory
Fuzzy sets
Fuzzy systems
Information retrieval
Knowledge management
Mathematical problems
Object recognition
Pareto optimum
Pattern recognition
Ranking
Ratings & rankings
Set theory
United States
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Summary:Fuzzy set theory, extensively applied in abundant disciplines, has been recognized as a plausible tool in dealing with uncertain and vague information due to its prowess in mathematically manipulating the knowledge of imprecision. In fuzzy-data comparisons, exploring the general ranking measure that is capable of consistently differentiating the magnitude of fuzzy numbers has widely captivated academics’ attention. To date, numerous indices have been established; however, counterintuition, less discrimination, and/or inconsistency on their fuzzy-number rating outcomes have prohibited their comprehensive implementation. To ameliorate their manifested ranking weaknesses, this paper proposes a unified index that multiplies weighted-mean and weighted-area discriminatory components of a fuzzy number, respectively, called centroid value and attitude-incorporated left-and-right area. From theoretical proof of consistency property and comparative studies for triangular, triangular-and-trapezoidal mixed, and nonlinear fuzzy numbers, the unified index demonstrates conspicuous ranking gains in terms of intuition support, consistency, reliability, and computational simplicity capability. More importantly, the unified index possesses the consistency property for ranking fuzzy numbers and their images as well as for symmetric fuzzy numbers with an identical altitude which is a rather critical property for accurate matching and/or retrieval of information in the field of computer vision and image pattern recognition.
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ISSN:1076-2787
1099-0526
DOI:10.1155/2017/3083745