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

Abstract

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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“…In the same scenario, the weight coefficients of the remaining assessment index were each reduced by the corresponding ratios. Changes in the ranking of the alternatives for the scenarios are shown in Tables 25-27. e results (Tables [25][26][27] show that the allocation of different weights to the assessment index through the scenarios leads to a change in the ranking of the alternatives, which confirms that the model is sensitive to changes in the weight coefficients. By comparing the alternatives which are ranked first (Alter.…”

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Fuzzy linear regression analysis for groundwater response to meteorological drought in the aquifer system of Xanthi plain, NE Greece

“…These indices the information of climatic anomalies make more comprehensible and may be used to determine the severity, the temporal and spatial extent of drought. These three elements constitute the three dimensions of drought (Guttmann 1998;Hayes 2000;Nohegar & Heydarzadeh 2016).…”