On strong pre-continuity with fuzzy soft sets

Cakalli, Huseyin; Açıkgöz, Ahu; Esenbel, Ferhat

doi:10.1063/1.5136111

Cited by 1 publication

(2 citation statements)

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“…Hassan and Al-Qudah [72] proposed fuzzy parameterized complex multi-fuzzy soft sets. Cakalli et al [73] defined strong pre-continuity with fuzzy soft sets. Khali et al [74] appraised interval-valued hesitant fuzzy soft sets and generalized trapezoidal fuzzy soft sets.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Also, bipolar FPSS-theory has been introduced and applied in a decision-making problem. Theoretical concepts like convex and concave sets based on fuzzy set and fuzzy soft set environments [69][70][71][72][73][74][75][76][77][78][79]. In type-1 fuzzy logic systems, uncertainty may exist due to the following reasons: words are foul-mouthed different things to different people, knowledge may be drawn out from a group of experts who do not agree cooperatively, measurements may be uncertain, and noisy tuning parameters.…”

Section: Introductionmentioning

confidence: 99%

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Triangular interval type-2 fuzzy soft set and its application

Lathamaheswari

Nagarajan

Kavikumar

2020

Complex Intell. Syst.

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Decision-making is an essential task in Science and Engineering. Since most of the real-world problems have uncertainty in nature, making the decision is challengeable one for the decision makers. Soft set has the advantage of free from the deficiency of the parameterization tools of existing theories, namely probability, fuzzy theory and the theory of rough sets. Linguistic terms mean different things to different people, so variability in expert's acceptance degree is possible. Here usage of type-1 fuzzy leads to noisy and uncertain, and the parameters also may be noisy and hence type-2 fuzzy sets may be used to address the mentioned issues. Therefore, a triangular interval type-2 fuzzy soft set has been considered in the present work by combining triangular interval type-2 fuzzy set and soft set. In this paper, a triangular interval type-2 fuzzy soft weighted arithmetic operator (TIT2FSWA) has been proposed with its desired mathematical properties; also applied the proposed methodology in a decision-making problem for profit analysis. Further comparative analysis has been made with the existing methods to show the effectiveness of the proposed method.

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Section: Literature Reviewmentioning

confidence: 99%