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A New Approach to Interval-Valued Fuzzy Soft Sets and Its Application in Decision-Making
, , Sooraj T.R, R k mohanty, Mohanty R.K., B k tripathy
Published in Springer Singapore
Volume: 509
Pages: 3 - 10
Soft set (SS) theory was introduced by Molodtsov to handle uncertainty. It uses a family of subsets associated with each parameter. Hybrid models have been found to be more useful than the individual components. Earlier interval-valued fuzzy set (IVFS) was introduced as an extension of fuzzy set (FS) by Zadeh. Yang introduced the concept of IVFSS by combining and soft set models. Here, we define IVFSS through the membership function approach to define soft set by Tripathy et al. very recently. Several concepts, such as complement of an IVFSS, null IVFSS, absolute IVFSS, intersection, and union of two IVFSSs, are redefined. To illustrate the application of IVFSSs, a decision-making (DM) algorithm using this notion is proposed and illustrated through an example. © Springer Science+Business Media Singapore 2017.
About the journal
JournalData powered by TypesetAdvances in Intelligent Systems and Computing Advances in Computational Intelligence
PublisherData powered by TypesetSpringer Singapore
Open AccessYes