Results 231 to 240 of about 6,306 (255)
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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   +3 more
openaire   +1 more source

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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Algebraic Structure of Fuzzy Soft Sets

2014
This paper is devoted to the discussion of algebraic structures of fuzzy soft sets. The fuzzy notion of soft equality relation on fuzzy soft sets is proposed and several related properties are investigated. Furthermore, MTL structures of fuzzy soft algebra and complex sample for affiliations and the mapping to the fuzzy soft quotient algebra are ...
Zhiyong Hong, Keyun Qin
openaire   +1 more source

Fuzzy soft set over a fuzzy topological space

International Journal of Machine Learning and Cybernetics, 2015
The aim of this article, we combine the fuzzy soft set and fuzzy topological space. We introduce the notion of fuzzy soft set over common universe of fuzzy topological space. We defined quasi-open fuzzy soft set over fuzzy topological space and we study the properties of extended union of two quasi-open fuzzy soft set over fuzzy topological space.
Saleem Abdullah   +3 more
openaire   +1 more source

More on Intuitionistic Fuzzy Soft Sets

2009
New operations on intuitionistic fuzzy soft sets have been introduced in this paper. Some results relating to the properties of these operations have been established. An example has also been introduced as an application of these operations.
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How ’Soft’ Soft Computing Is: On the Ordering of Fuzzy Sets

2007
It is well known that classical computing is strict, while soft computing is soft. But how soft is soft computing? Like water, cotton, or spring? Can the soft be at will? If can not be, how soft it should be? Is there a proper principle or restriction?
Naiqin Feng   +3 more
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Introduction to fuzzy topology on soft sets

2019
Summary: The purpose of the paper is to define gradation of openness on soft sets \(\tau\) and examine some of its important properties. For this, we give some fundemental properties of soft sets. Later we introduce the concepts of base and subbase in fuzzy topological space of soft sets, and use them to discuss continuous mapping and open mapping.
Bayramov, Sadi   +2 more
openaire   +3 more sources

Picture Fuzzy N-Soft Sets and Their Applications in Decision-Making Problems

Fuzzy Information and Engineering, 2021
Tahir Mahmood, Ubaid Ur Rehman
exaly  

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

Soft Computing, 2021
Jiří Močkoř   +2 more
exaly  

LEVEL SOFT SETS BASED ON FUZZY SETS

Quantitative Logic and Soft Computing, 2012
Feng Feng 0003   +2 more
openaire   +1 more source

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