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Fuzzy Soft Sets and its Application to Decision Making: A Short Case Study Involving the Health Sector [PDF]

open access: yes
The health sector faces uncertainty and complex decision-making scenarios, making traditional analytical tools insufficient. The fuzzy soft set theory has emerged as a powerful framework for modeling and reasoning with uncertain information, with ...
Adebisi, Sunday Adesina   +1 more
core   +1 more source

Pythagorean fuzzy soft rough sets and their applications in decision-making

open access: yesJournal of Taibah University for Science, 2020
This paper aims to originate two new notions that are soft rough Pythagorean fuzzy set and Pythagorean fuzzy soft rough set, and investigate some important properties of soft rough Pythagorean fuzzy set and Pythagorean fuzzy soft rough set in detail ...
Azmat Hussain   +2 more
doaj   +1 more source

On Fuzzy Soft Set-Valued Maps with Application

open access: yesJournal of Nigerian Society of Physical Sciences, 2020
Soft set and fuzzy soft set theories are proposed as mathematical tools for dealing with uncertainties. There has been tremendous progress concerning the extensions of these theories from different point of views of researchers so as to accommodate more ...
Shehu Shagari Mohammed
doaj   +1 more source

Bipolar Complex Fuzzy Soft Sets and Their Applications in Decision-Making

open access: yesMathematics, 2022
This article introduces the notion of bipolar complex fuzzy soft set as a generalization of bipolar complex fuzzy set and soft set. Furthermore, this article contains elementary operations for bipolar complex fuzzy soft sets such as complement, union ...
Tahir Mahmood   +4 more
doaj   +1 more source

Application of m- polar soft fuzzy bi- partite graph in residence selection process

open access: yesRatio Mathematica, 2023
An $m-$polar fuzzy set and soft sets are two different tools for representing uncertainty and vagueness. An $m-$polar soft fuzzy set is a mapping from parameter set to the $m-$polar fuzzy subsets of the universe.
S Ramkumar, R Sridevi
doaj   +1 more source

Pendekatan Baru Untuk Pengambilan Keputusan Pada Hesitant Multi-Fuzzy Soft Set [PDF]

open access: yes, 2023
Konsep hesitant multi-fuzzy set adalah sebuah konsep yang berkembang dari fuzzy set. Karakteristik dari hesitant multi-fuzzy set digabung dengan parameter yang ada pada soft set dan hasil dari penggabungan adalah hesitant multi-fuzzy soft set.
Meutia, Ivana Hendri
core   +1 more source

A Hesitant Soft Fuzzy Rough Set and its Applications

open access: yesIEEE Access, 2019
The difficulty of establishing a common membership degree is not because there is a margin of error or some possibility distribution values, but because there is a set of possible values.
Ting Xie, Zengtai Gong
doaj   +1 more source

Hybrid integrated decision-making algorithm for clustering analysis based on a bipolar complex fuzzy and soft sets

open access: yesAlexandria Engineering Journal, 2023
Data clustering is an instrumental tool in the area of energy management resources, marketing, and business. Clustering helps to increase productivity, facilitate decision-making, and generate new business opportunities.
Jeonghwan Gwak, Harish Garg, Naeem Jan
doaj   +1 more source

Advances in Sustainable and Wearable Textile Based Soft Robotics

open access: yesAdvanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas   +6 more
wiley   +1 more source

Roughness of fuzzy soft sets and related results [PDF]

open access: yesInternational Journal of Computational Intelligence Systems, 2015
This paper investigates roughness of fuzzy soft sets. A pair of fuzzy soft rough approximations is proposed and their properties are given. Based on fuzzy soft rough approximations, the concept of fuzzy soft rough sets is introduced.
Zhaowen Li, Tusheng Xie
doaj   +1 more source

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