Orlovsky's concept of decision-making with fuzzy preference relation-further results
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Cited by (84)
Fuzzy α–C-equivalences
2019, Fuzzy Sets and SystemsCitation Excerpt :If it comes to fuzzy relations, first of all the transitivity property is of the most interest because of the application reasons. The standard transitivity property is too strong for many relations and this is a reason why this property is modified in different ways according to demands of real-life problems [7,11,25,28,45]. In this paper both classical transitivity axiom of a fuzzy equivalence connective and its weaker versions are considered.
A new approach for ranking fuzzy numbers based on possibility theory
2017, Journal of Computational and Applied MathematicsCitation Excerpt :The concept of ranking fuzzy numbers was initiated by Jain [1] in 1976. The methods for ranking fuzzy numbers are classified into four major classes such as: (1) preference relation: [2–16]; (2) fuzzy mean and spread: probability distribution [12,13]; (3) fuzzy scoring: proportional to optimal [6], left or right scores [1,17,18], central index [19,20,14], area measurement [21]; (4) linguistic expression: intuition [13,15], linguistic approximation [22]. [26]
How different are ranking methods for fuzzy numbers? A numerical study
2013, International Journal of Approximate ReasoningIndicators of fuzzy relations
2013, Fuzzy Sets and SystemsThe revised method of ranking LR fuzzy number based on deviation degree
2010, Expert Systems with ApplicationsWeak and graded properties of fuzzy relations in the context of aggregation process
2010, Fuzzy Sets and Systems