Soft set theory—First results
TLDR
The main purpose of this paper is to introduce the basic notions of the theory of soft sets, to present the first results of the the theory, and to discuss some problems of the future.Abstract:
The soft set theory offers a general mathematical tool for dealing with uncertain, fuzzy, not clearly defined objects. The main purpose of this paper is to introduce the basic notions of the theory of soft sets, to present the first results of the theory, and to discuss some problems of the future.read more
Citations
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Hesitant Fuzzy Soft Sets with Application in Multicriteria Group Decision Making Problems
TL;DR: Wang et al. as mentioned in this paper proposed a multicriteria group decision-making approach with hesitant fuzzy soft sets and four aggregation operations, such as the HFSWA, HFSWG, GHFSWA and GHFS WG operators.
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Time-neutrosophic soft set and its applications
TL;DR: The concept of time-neutrosophic soft set is introduced and its basic operations, complement, union intersection, ”AND” and ”OR” are defined and some of its properties are studied.
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A new expert system in prediction of lung cancer disease based on fuzzy soft sets
TL;DR: It is found that the fuzzy soft expert system developed is useful to the expert doctor to decide if a patient has lung cancer or not and can produce valuable results for lung cancer detection.
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On Soft Rough Topology with Multi-Attribute Group Decision Making
TL;DR: This paper develops the topological structure on soft rough set by using pairwise SR -approximations and applied an algorithm based on SR -set to multi-attribute group decision making (MAGDM) to deal with uncertainty.
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