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A New Approach to Fuzzy Soft Set Theory and Its Application in Decision Making
, Sooraj T.R, Mohanty R.K.
Published in Springer India
Volume: 411
Pages: 305 - 313
Soft set theory is a new mathematical approach to vagueness introduced by Molodtsov. This is a parameterized family of subsets defined over a universal set associated with a set of parameters. In this paper, we define membership function for fuzzy soft sets. Like the soft sets, fuzzy soft set is a notion which allows fuzziness over a soft set model. So far, more than one attempt has been made to define this concept. Maji et al. defined fuzzy soft sets and several operations on them. In this paper we followed the definition of soft sets provided by Tripathy et al. through characteristic functions in 2015. Many related concepts like complement of a fuzzy soft set, null fuzzy soft set, absolute fuzzy soft set, intersection of fuzzy soft sets and union of fuzzy soft sets are redefined. We provide an application of fuzzy soft sets in decision making which substantially improve and is more realistic than the algorithm proposed earlier by Maji et al. © Springer India 2016.
About the journal
JournalData powered by TypesetAdvances in Intelligent Systems and Computing Computational Intelligence in Data Mining—Volume 2
PublisherData powered by TypesetSpringer India
Open Access0