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Probabilistic soft sets and dual probabilistic soft sets in decision-making

Neural Computing and Applications, 2017
Since its introduction by Molodstov (Computers & Mathematics with Applications 37(4):19–31 1999), soft set theory has been widely applied in various fields of study. Soft set theory has also been combined with other theories like fuzzy sets theory, rough sets theory, and probability theory.
Fatia Fatimah   +3 more
openaire   +1 more source

An extended soft set model: Type-2 fuzzy soft sets

2011 IEEE International Conference on Cloud Computing and Intelligence Systems, 2011
The soft set theory has been initiated by Molodtsov as a useful mathematical tool for dealing with uncertainty, fuzzy, not clearly defined objects. However, it is inappropriate to be used to deal with fuzzy parameters that involve uncertain words, linguistic terms and have a non-measurable domain.
Xi'ao Ma, Guoyin Wang 0001
openaire   +1 more source

Rough Soft Sets in Fuzzy Setting

2013
Fuzzy set theory, soft set theory and rough set theory are mathematical tools for dealing with uncertainties and are closely related. In the paper, we define the notion of a soft set in L-set theory, introduce several operators for L-soft set theory, and investigate the rough operators on the set of all L-soft sets induced by the rough operators on L X
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Selection principles in the context of soft sets: Menger spaces

Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2021
L. Kočinac, T. Al-shami, V. Çetkin
semanticscholar   +1 more source

A series of information measures of hesitant fuzzy soft sets and their application in decision making

Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2021
Chunfeng Suo, Yongming Li, Zhihui Li
semanticscholar   +1 more source

Approximations of fuzzy soft sets by fuzzy soft relations with image processing application

Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2021
J. Močkoř, P. Hurtík
semanticscholar   +1 more source

Soft Sets

2014
This chapter is about soft sets. A brief account of the developments that took place in last 14 years in the field of Soft Sets Theory (SST) has been presented. It begins with a brief introduction on soft sets and then it describes many generalizations of it. The notions of generalized fuzzy soft sets are defined and their properties are studied. After
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Some new algebraic structures of soft sets

Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2021
Emin Aygün, Hüseyin Kamacı
semanticscholar   +1 more source

Soft equivalent sets

Soft Computing, 2022
openaire   +1 more source

A new expert system in prediction of lung cancer disease based on fuzzy soft sets

Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2020
A. Khalil   +4 more
semanticscholar   +1 more source

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