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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A new approach in handling soft decision making problems
TL;DR: In inverse soft sets and inverse fuzzy soft sets are defined and used to solve decision making problems in a slightly modified way by using inverse (fuzzy) soft sets instead of (f fuzzy)soft sets which makes the algorithms easier and faster than the existed methods.
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Neutrosophic Left Almost Semigroup
TL;DR: In this paper, the theory of neutrosophy is extended to neutrosophic LA-semigroup and the ideal theory of LA-Semigroup is discussed and different kinds of ideal ideals are discussed.
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Caliber and Chain Conditions in Soft Topologies
TL;DR: This paper introduces two types of axioms that generalize suitable concepts of soft separability and explores the role of cardinality in their study, and the relationships among these and other properties.
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A new type of generalized picture fuzzy soft set and its application in decision making
TL;DR: A novel concept of the generalized picture fuzzy soft set is proposed by combining the picture fuzzySoft set and the fuzzy parameter set to provide decision makers a more mathematical insight before making decisions on their options.
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n-Valued Refined Neutrosophic Soft Sets and their Applications in Decision Making Problems and Medical Diagnosis
TL;DR: A similarity measure between two ‘n’-valued refined neutrosophic soft sets and its properties to solve decision making problems and a medical diagnosis method is established using similarity measures.
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