A New Approach to Fuzzy Soft Set Theory and Its Application in Decision Making
作者： B. K. Tripathy , T. R. Sooraj , R. K. Mohanty
DOI: 10.1007/978-81-322-2731-1_28
关键词: Fuzzy set operations 、 Soft set 、 Universal set 、 Computer science 、 Fuzzy set 、 Intersection (set theory) 、 Artificial intelligence 、 Complement (set theory) 、 Membership function 、 Fuzzy classification
摘要: Soft set theory is a new mathematical approach to vagueness introduced by Molodtsov. This parameterized family of subsets defined over universal associated with parameters. In this paper, we define membership function for fuzzy soft sets. Like the sets, notion which allows fuzziness model. So far, more than one attempt has been made concept. Maji et al. sets and several operations on them. paper followed definition provided Tripathy through characteristic functions in 2015. Many related concepts like complement set, null absolute intersection union are redefined. We provide an application decision making substantially improve realistic algorithm proposed earlier
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