Journal
APPLIED SOFT COMPUTING
Volume 52, Issue -, Pages 478-486Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.asoc.2016.10.020
Keywords
Generalized trapezoidal fuzzy numbers; Similarity measure; Fuzzy risk analysis; Linguistic terms
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This paper presents an improved method to compute the degree of similarity between generalized trapezoidal fuzzy numbers. The proposed similarity measure contains many features of fuzzy numbers such as geometric distance, center of gravity (COG), area, perimeter, and height. The previous methods are criticized via presenting some examples. In addition, the performance of the proposed methods is compared by the existing similarity measures using twenty different sets of generalized trapezoidal fuzzy numbers. Furthermore, the proposed method is used for fuzzy risk analysis based on similarity measures. Finally, an example is introduced to illustrate the fuzzy risk analysis. (C) 2016 Elsevier B.V. All rights reserved.
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