Results 51 to 60 of about 295,676 (258)

Algebraic Hyperstructure of Multi-Fuzzy Soft Sets Related to Polygroups

open access: yesMathematics, 2022
The combination of two elements in a group structure is an element, while, in a hypergroup, the combination of two elements is a non-empty set. The use of hypergroups appears mainly in certain subclasses.
O. Kazancı   +2 more
semanticscholar   +1 more source

Enhancing PROMETHEE method with intuitionistic fuzzy soft sets

open access: yesInternational Journal of Intelligent Systems, 2020
The notion of intuitionistic fuzzy soft sets (IFSSs) provides an effective tool for solving multiple attribute decision making with intuitionistic fuzzy information. The most crucial issue in decision making based on IFSSs is how to derive the ranking of
F. Feng   +3 more
semanticscholar   +1 more source

Soft rough fuzzy sets and soft fuzzy rough sets

open access: yesComputers & Mathematics with Applications, 2011
AbstractFuzzy set theory, soft set theory and rough set theory are mathematical tools for dealing with uncertainties and are closely related. Feng et al. introduced the notions of rough soft set, soft rough set and soft rough fuzzy set by combining fuzzy set, rough set and soft set all together.
Keyun Qin, Xiaohong Zhang, Dan Meng
openaire   +2 more sources

Fuzzy Parameterized Soft Expert Set [PDF]

open access: yesAbstract and Applied Analysis, 2012
In 2011 Alkhazaleh and Salleh introduced the concept of soft expert set and gave an application in a decision‐making problem. In this paper we introduce the concept of fuzzy parameterized soft expert set by giving an important degree for each element in the set of parameters.
Bashir, Maruah, Salleh, Abdul Razak
openaire   +3 more sources

THE CONSTRUCTION OF SOFT SETS FROM FUZZY SUBSETS

open access: yesBarekeng, 2023
Molodtsov introduced the concept of soft sets formed from fuzzy subsets in 1999. The soft set formed from a fuzzy subset is a particular form of a soft set on its parameter set. On a soft set formed from a fuzzy subset, the parameter used is the image of
Na'imah Hijriati   +3 more
doaj   +1 more source

Some average aggregation operators based on spherical fuzzy soft sets and their applications in multi-criteria decision making

open access: yesAIMS Mathematics, 2021
Spherical fuzzy soft sets SFS Ss have its importance in a situation where human opinion is not only restricted to yes or no but some kind of abstinence or refusal aspects are also involved. Moreover, the notion of SFS S is free from all that complexities
Jabbar Ahmmad   +3 more
semanticscholar   +1 more source

Generalized Fuzzy Soft Expert Set [PDF]

open access: yesJournal of Applied Mathematics, 2012
In 2011 Alkhazaleh and Salleh defined the concept of soft expert sets where the user can know the opinion of all the experts in one model and give an application of this concept in decision‐making problems. Also, they introduced the concept of the fuzzy soft expert set as a combination between the soft expert set and the fuzzy set. In 2010 Majumdar and
Hazaymeh, Ayman A.   +3 more
openaire   +4 more sources

On modular inequalities of interval-valued fuzzy soft sets characterized by soft J-inclusions [PDF]

open access: yes, 2014
This study aims to explore modular inequalities of interval-valued fuzzy soft sets characterized by Jun’s soft J-inclusions. Using soft product operations of interval-valued fuzzy soft sets, we first investigate some basic properties of soft J-inclusions
Bijan Davvaz   +4 more
core   +1 more source

Fuzzy soft set connected mappings

open access: yesRatio Mathematica, 2023
In this paper, the concepts of fuzzy soft connectedness between fuzzy soft sets and fuzzy soft set connected mappings in fuzzy soft topological spaces has been introduced.
Alpa Singh Rajput   +2 more
doaj   +1 more source

Different distance measures for fuzzy linear regression with Monte Carlo methods [PDF]

open access: yes, 2016
The aim of this study was to determine the best distance measure for estimating the fuzzy linear regression model parameters with Monte Carlo (MC) methods.
Cattaneo, Marco E.G.V., İçen, Duygu
core   +1 more source

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