Results 211 to 220 of about 295,676 (258)

Decision Making Based on Fuzzy Soft Sets and Its Application in COVID-19

Intelligent Automation and Soft Computing, 2021
Real-world applications are now dealing with a huge amount of data, especially in the area of high-dimensional features. Trait reduction is one of the major steps in decision making problems.
S. A. Alblowi, M. Sayed, M. E. Safty
semanticscholar   +1 more source

Entropy on intuitionistic fuzzy soft sets and on interval-valued fuzzy soft sets

Information Sciences, 2013
Molodtsov initiated the concept of soft set theory, which can be used as a generic mathematical tool for dealing with uncertainty. However, it has been pointed out that classical soft sets are not appropriate to deal with imprecise and fuzzy parameters.
Zhenzhou Chen, Hai Liu, Yuncheng Jiang, Yong Tang   +3 more
openaire   +1 more source

Intuitionistic Fuzzy Soft Set

2010 2nd International Workshop on Intelligent Systems and Applications, 2010
The concept of intuitionistic fuzzy soft set (IFSS) which combines the advantage of soft set and K.Atanassov's intuitionistic fuzzy set (IFS) is proposed. Then some basic notions of IFSS are presented. Based on the "Complement", "intersection", "union" operations on IFS theory, the "Complement", "intersection", "union", "AND" and "OR" operations of ...
Deng-feng Li, Yong-kan Sun, Yong-jie Xu
openaire   +2 more sources

Fuzzy soft sets as L -fuzzy sets

Journal of Intelligent & Fuzzy Systems, 2019
In this paper, it is shown that an L -fuzzy soft set on X with a set E of parameters can be regarded as an L X -fuzzy set on E , and it can also be regarded as an L
Chao-Zan Fan, Fu-Gui Shi
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A note on soft sets, rough soft sets and fuzzy soft sets

Applied Soft Computing, 2011
Abstract: Concept of an approximation space associated with each parameter in a soft set is discussed and an approximation space associated with the soft set is defined. For any subset X of the universe U, there is a fuzzy subset of U associated with each parameter of the soft set, also there is a fuzzy subset associated with the soft set.
openaire   +1 more source

Spectral fuzzy sets and soft thresholding

Information Sciences, 1992
A new concept of spectral fuzzy sets has been introduced for dealing with the uncertainty in subjective assignment of membership value to the elements of a fuzzy set. The concept is characterized by a set of membership functions reflecting an individual's (or several individuals') opinion. The uncertainty due to spectralness has been explained.
Sankar K. Pal, Ambarish Dasgupta
openaire   +3 more sources

Spherical Fuzzy Soft Sets

2020
In this chapter, the definition of spherical fuzzy soft sets (SFSSs) and a few of its properties are introduced. SFSSs are presented as a generalization of soft sets. Notably, we tend to showed DeMorgan’s laws that are valid is SFSS theory. Also, we advocate an algorithm to solve the decision-making problem primarily based on adjustable soft ...
Sunil Jacob John, P. A. Fathima Perveen, K. V. Babitha   +2 more
openaire   +2 more sources

The relation between fuzzy soft set and integrative fuzzy set

2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE), 2017
Fuzzy set can be divided into single parameter or multi-parameter's ones with which to depict their fuzzy attributes. In references, it is usual defined in a single parameter universe and yet multi-parameter's ones often appears in so-called fuzzy relation.
Junxuan He, Hailiang Zhao, Yi Jiang
openaire   +2 more sources

Multiple criteria group decision making based on q-rung orthopair fuzzy soft sets

Granular Computing, 2023
V. Salsabeela, T. M. Athira, S. J. John, T. Baiju   +3 more
semanticscholar   +1 more source

Pattern recognition and medical diagnosis based on trigonometric similarity measures for bipolar complex fuzzy soft sets

Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2023
Tahir Mahmood, Abdul Jaleel, U. Rehman
semanticscholar   +1 more source