An adjustable approach to hesitant fuzzy soft multiset based decision making problems
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Molodtsov initiated the concept of soft set theory as a general mathematical tool for dealing with uncertainties and imprecision about vague concepts. Decision making based on hybrid soft sets has found great importance due to their resourcefulness in real life problems. In this paper, we apply the adjustable approach of fuzzy soft set based decision making. Using concrete and illustrative examples, we present the adjustable approach to hesitant fuzzy soft multisets based decision making by using level soft sets of hesitant fuzzy soft multisets. We also discuss weighted hesitant fuzzy soft multiset and systematically applied it to decision making problems.
Abstract
Molodtsov initiated the concept of soft set theory as a general mathematical tool for dealing with uncertainties and imprecision about vague concepts. Decision making based on hybrid soft sets has found great importance due to their resourcefulness in real life problems. In this paper, we apply the adjustable approach of fuzzy soft set based decision making. Using concrete and illustrative examples, we present the adjustable approach to hesitant fuzzy soft multisets based decision making by using level soft sets of hesitant fuzzy soft multisets. We also discuss weighted hesitant fuzzy soft multiset and systematically applied it to decision making problems.
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