Hesitant fuzzy soft multisets and their applications in decision-making problems

Hesitant fuzzy soft multisets and their applications in decision-making problems

In this paper, we introduce some important and basic issues of hesitant fuzzy soft multisets and present some results for hesitant fuzzy sets. The main results of the current branch are studied, and some of its structural properties are established such as the neighborhood hesitant fuzzy soft multis...

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Veröffentlicht in:Soft computing (Berlin, Germany) Germany), 2020-03, Vol.24 (6), p.4223-4232
Hauptverfasser: Kandil, A., El-Sheikh, S. A., Hosny, M., Raafat, M.
Format: Artikel
Sprache:eng
Schlagworte:
Artificial Intelligence
Computational Intelligence
Control
Decision making
Engineering
Fuzzy sets
Information systems
Mathematical Logic and Foundations
Mechatronics
Methodologies and Application
Robotics
Universe
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creator Kandil, A.
El-Sheikh, S. A.
Hosny, M.
Raafat, M.
description In this paper, we introduce some important and basic issues of hesitant fuzzy soft multisets and present some results for hesitant fuzzy sets. The main results of the current branch are studied, and some of its structural properties are established such as the neighborhood hesitant fuzzy soft multisets, interior hesitant fuzzy soft multisets, hesitant fuzzy soft multi-topological spaces and hesitant fuzzy soft multi-basis. Therefore, we show that how to apply the concept of hesitant fuzzy soft multisets in decision-making problems.
doi_str_mv 10.1007/s00500-019-04187-w
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subjects Artificial Intelligence
Computational Intelligence
Control
Decision making
Engineering
Fuzzy sets
Information systems
Mathematical Logic and Foundations
Mechatronics
Methodologies and Application
Robotics
Universe
title Hesitant fuzzy soft multisets and their applications in decision-making problems
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