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Parameter Reduction in Soft Set Models and Application in Decision Making

Parameter Reduction in Soft Set Models and Application in Decision Making

B.K. Tripathy, R.K. Mohanty, Sooraj T.R., Arun K.R.
Copyright: © 2017 |Pages: 24
ISBN13: 9781522510086|ISBN10: 1522510087|EISBN13: 9781522510093
DOI: 10.4018/978-1-5225-1008-6.ch015
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MLA

Tripathy, B.K., et al. "Parameter Reduction in Soft Set Models and Application in Decision Making." Handbook of Research on Fuzzy and Rough Set Theory in Organizational Decision Making, edited by Arun Kumar Sangaiah, et al., IGI Global, 2017, pp. 331-354. https://doi.org/10.4018/978-1-5225-1008-6.ch015

APA

Tripathy, B., Mohanty, R., Sooraj T.R., & Arun K.R. (2017). Parameter Reduction in Soft Set Models and Application in Decision Making. In A. Sangaiah, X. Gao, & A. Abraham (Eds.), Handbook of Research on Fuzzy and Rough Set Theory in Organizational Decision Making (pp. 331-354). IGI Global. https://doi.org/10.4018/978-1-5225-1008-6.ch015

Chicago

Tripathy, B.K., et al. "Parameter Reduction in Soft Set Models and Application in Decision Making." In Handbook of Research on Fuzzy and Rough Set Theory in Organizational Decision Making, edited by Arun Kumar Sangaiah, Xiao-Zhi Gao, and Ajith Abraham, 331-354. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-1008-6.ch015

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Abstract

Soft sets were introduced by Molodtsov to handle uncertainty based problems. In 2003, Maji et al. extended the soft set approach to decision making. Decision making plays an integral role in daily life. In this chapter we describe soft sets and its impact in decision making problems. In this chapter, we discuss some of the basic notions of fuzzy soft sets and interval valued fuzzy soft sets. We also discuss application of fuzzy soft sets and interval valued fuzzy soft sets in decision making. In this chapter, we are going to see how parameter reduction is used in soft set theory.

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