Results 261 to 270 of about 2,440,243 (289)

Note on fuzzy soft sets and fuzzy soft lattices

Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales. Serie A. Matemáticas, 2017
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Rehman, Noor, Ali, Abbas, Park, Choonkil
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Ternary fuzzy soft sets

Computational and Applied Mathematics
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Li Fu 0001, Feng Qin
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An algebraic result on fuzzy soft sets

2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2011
The concept of nested soft sets is proposed by extending the definition of nested sets. An equivalence relation is constructed on the set of nested soft sets. Then a novel algebra system is obtained and the union, intersection and complement operations of this algebra system are defined based on the equivalence classes of nested soft sets. Furthermore,
Yongchuan Wen, Shuang Feng, Jinquan Li
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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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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
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Lattice Structures of Fuzzy Soft Sets

2010
In this paper, we study the algebraic structures of fuzzy soft sets. Some operations on fuzzy soft sets are introduced and several related properties are investigated. Furthermore, two lattice structures of fuzzy soft sets are established. It is proved that certain De Morgan's laws hold in fuzzy soft set theory.
Keyun Qin, Hua Zhao
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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
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Soft decision making methods based on fuzzy sets and soft sets

Journal of Intelligent & Fuzzy Systems, 2016
In this paper, we propose soft decision making methods based on fuzzy and soft set theory. We also use matrix representation of the soft sets that is very useful for computations of the method. We finally present an example which shows that the method can be successfully applied to many problems that contain uncertainties.
Haci Aktas, Naim Çagman
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Granularity Analysis of Fuzzy Soft Set

2012
Fuzzy soft set (FSs) is a novel mathematical tool, in order to describe and measure uncertain information of FSs perfectly, granularity analysis based on covering about FSs is originally discussed in this paper. Firstly, the α-dominance relation between any two objects is built by constructing the possibility degree or the weighted possibility degree ...
Dengbao Yao, Cuicui Wang, Junjun Mao, Yanping Zhang 0001   +3 more
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Fuzzy parameterized fuzzy soft sets and decision making

International Journal of Machine Learning and Cybernetics, 2015
The aim of this paper is to define t-norms and t-conorms products of fuzzy parameterized fuzzy soft sets (briefly, fpfs-sets). By using these products, AND–fpfs decision making and OR–fpfs decision making methods are constructed, respectively. Finally, the decision making methods are applied to solve problems which contain uncertainties.
Kuanyun Zhu, Jianming Zhan 0001
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