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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.

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Journal Article

Complex multi-fuzzy soft expert set and its application

TL;DR: This work introduces the concept of complex multi-fuzzy soft expert set (CMFSES), for which the range of its membership functions are represented in terms of complex numbers, and investigates structural properties of these operations based on this concept.
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TOPSIS, VIKOR and aggregation operators based on q-rung orthopair fuzzy soft sets and their applications

TL;DR: An application of q-ROFSSs to multi-criteria group decision-making (MCGDM) process related to the university choice, accompanied by algorithm and flowchart and tackling a problem of construction utilizingq-ROFS TOPSIS and q- ROFS VIKOR methods.
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A New Approach to Hausdorff Space Theory via the Soft Sets

TL;DR: In this paper, the authors present the concept of soft bitopological Hausdorff space (SBT Hausdhof space) as an original study and investigate the relations between SBT space and SBT subspace by defining SBT property and hereditary SBT by SBT homeomorphism.
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Fuzzy isomorphism theorems of soft rings

TL;DR: The concepts of fuzzy ideals of soft rings are introduced and the first, second and third fuzzy isomorphism theorems ofsoft rings are established respectively.
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