Results 81 to 90 of about 295,676 (258)
Data granulation by the principles of uncertainty [PDF]
Researches in granular modeling produced a variety of mathematical models, such as intervals, (higher-order) fuzzy sets, rough sets, and shadowed sets, which are all suitable to characterize the so-called information granules.
Livi, Lorenzo, Sadeghian, Alireza
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On Generalised Interval‐Valued Fuzzy Soft Sets [PDF]
Soft set theory, initiated by Molodtsov, can be used as a new mathematical tool for dealing with imprecise, vague, and uncertain problems. In this paper, the concepts of two types of generalised interval‐valued fuzzy soft set are proposed and their basic properties are studied.
Xiaoqiang Zhou +3 more
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σ-Algebra and σ-Baire in Fuzzy Soft Setting
We first introduce some new notions of Baireness in fuzzy soft topological space (FSTS). Next, their characterizations and basic properties are investigated in this work. The notions of fuzzy soft dense, fuzzy soft nowhere dense, fuzzy soft meager, fuzzy
Shuker Mahmood Khalil +3 more
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Hesitant Fuzzy Soft Subalgebras and Ideals in BCK/BCI-Algebras
As a link between classical soft sets and hesitant fuzzy sets, the notion of hesitant fuzzy soft sets is introduced and applied to a decision making problem in the papers by Babitha and John (2013) and Wang et al. (2014).
Young Bae Jun +2 more
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Generalised Interval‐Valued Fuzzy Soft Set [PDF]
We introduce the concept of generalised interval‐valued fuzzy soft set and its operations and study some of their properties. We give applications of this theory in solving a decision making problem. We also introduce a similarity measure of two generalised interval‐valued fuzzy soft sets and discuss its application in a medical diagnosis problem ...
Alkhazaleh, Shawkat, Salleh, Abdul Razak
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International conference on software engineering and knowledge engineering: Session chair [PDF]
The Thirtieth International Conference on Software Engineering and Knowledge Engineering (SEKE 2018) will be held at the Hotel Pullman, San Francisco Bay, USA, from July 1 to July 3, 2018.
Bosu, Michael Franklin
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Background Several scholars defined the concepts of fuzzy soft set theory and their application on decision-making problem. Based on this concept, researchers defined the generalised fuzzy soft set and its applications. However, to the best of the author’
Mihret Alamneh Taye +2 more
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A Hesitant Soft Fuzzy Rough Set and its Applications
The difficulty of establishing a common membership degree is not because there is a margin of error or some possibility distribution values, but because there is a set of possible values.
Ting Xie, Zengtai Gong
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Fuzzy Supernova Templates II: Parameter Estimation
Wide field surveys will soon be discovering Type Ia supernovae (SNe) at rates of several thousand per year. Spectroscopic follow-up can only scratch the surface for such enormous samples, so these extensive data sets will only be useful to the extent ...
Rodney, Steven A., Tonry, John L.
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Fuzzy Soft Connected Sets in Fuzzy Soft Topological Spaces
In this paper we introduce some types of fuzzy soft separated sets and study some of thier preperties. Next, the notion of connectedness in fuzzy topological spaces due to Ming and Ming, Zheng etc., extended to fuzzy soft topological spaces. The relationship between these types of connectedness in fuzzy soft topological spaces is investigated with the ...
A Kandil, O. E. Tantawy
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