A new ranking method for trapezial fuzzy numbers and its application to fuzzy risk analysis
Journal of Intelligent & Fuzzy SystemsPublished 1 January 2015
Serkan Ali Düzce
Citations12
SJR quartileQ2
SJR score0.36
SNIP0.62
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TL;DR
The proposed method ranks not only standardized, but also arbitrary trapezial fuzzy numbers, so it is unnecessary to normalize to fuzzy numbers to apply the fuzzy risk algorithm.
Abstract
In this study, a new method for ranking trapezial fuzzy numbers, generalized trapezoidal fuzzy numbers with different left and right heights, is presented. It considers triangles of a trapezium, a quadrilateral with no parallel sides, and uses the ce
Keywords
Decision SciencesMathematicsEngineering
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