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Interval Valued Hesitant Fuzzy Soft Sets and Its Application in Stock Market Analysis
Published in Springer Singapore
Volume: 517
Pages: 755 - 764
Molodtsov introduced soft set theory in 1999 to handle uncertainty. It has been found that hybrid models are more useful than that of individual components. Yang et al. introduced the concept of interval valued fuzzy soft set (IVFSS) by combining the interval valued fuzzy sets (IVFS) and soft set model. In this paper we extend it by introducing interval valued hesitant fuzzy soft sets (IVHFSS) through the membership function approach introduced by Tripathy et al. in 2015. To illustrate the application of the new model, we provide a decision making algorithm and use it in stock market analysis. © 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