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
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Generalized uni–int decision making schemes based on choice value soft sets
TL;DR: This paper defines choice value soft sets and k-satisfaction relations and proposes several new soft decision making schemes, including the uni–intk, uni-intst and intm−intn decision making methods.
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Soft Expert Sets
TL;DR: This paper introduces the concept of a soft expert set, which will more effective and useful, and defines its basic operations, namely, complement, union intersection AND, and OR.
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The bijective soft set with its operations
TL;DR: The concept of bijective soft set and some of its operations such as the restricted AND and the relaxed AND operations on a bijectives soft set are proposed and an application of bijection soft set in decision-making problems is discussed.
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A novel algorithm for fuzzy soft set based decision making from multiobserver input parameter data set
TL;DR: A novel approach to the problem of fuzzy soft set based decision making in the presence of multiobserver input parameter data sets with higher power of discrimination and a well-determined final solution is presented.
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A survey of decision making methods based on two classes of hybrid soft set models
TL;DR: By compromising the above three uncertain theories, some reviews to DM methods based on two classes of hybrid soft models: SRF-sets and SFR-sets are elaborate and an overview of techniques based on the involved hybrid soft set models is expatiate.
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