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Hesitant Fuzzy Soft Set Theory and Its Application in Decision Making
Sooraj T.R, Mohanty R.K,
Published in Springer Singapore
Volume: 517
Pages: 315 - 322
There are several models of uncertainty found in the literature like fuzzy set, rough set, soft set and hesitant fuzzy set. Also, several hybrid models have come up as a combination of these models and have been found to be more useful than the individual models. In everyday life we make many decisions. Making efficient decisions under uncertainty needs better techniques. Many such techniques have been developed in the recent past. These techniques involve soft sets and fuzzy sets. In this paper we redefined the hesitant fuzzy soft sets (HFSS) with the help of membership function. We also provide a decision making algorithm. © Springer Nature Singapore Pte Ltd. 2017.
About the journal
JournalData powered by TypesetAdvances in Intelligent Systems and Computing Artificial Intelligence and Evolutionary Computations in Engineering Systems
PublisherData powered by TypesetSpringer Singapore
Open Access0