Results 101 to 110 of about 295,676 (258)
On Complex Intuitionistic Fuzzy Soft Sets with Distance Measures and Entropies
We introduce the concept of complex intuitionistic fuzzy soft sets which is parametric in nature. However, the theory of complex fuzzy sets and complex intuitionistic fuzzy sets are independent of the parametrization tools.
Tanuj Kumar, Rakesh Kumar Bajaj
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Measures of Distance and Entropy Based on the Fermatean Fuzzy-Type Soft Sets Approach
The definition of Fermatean fuzzy soft sets and some of its features are introduced in this study. A Fermatean fuzzy soft set is a parameterized family of Fermatean fuzzy sets and a generalization of intuitionistic and Pythagorean fuzzy soft sets.
Murat Kirisci
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Fuzzy investment decision support for brownfield redevelopment [PDF]
Tato disertační práce se zaměřuje na problematiku investování a podporu rozhodování pomocí moderních metod. Zejména pokud jde o analýzu, hodnocení a výběr tzv. brownfieldů pro jejich redevelopment (revitalizaci). Cílem této práce je navrhnout univerzální
Brož, Zdeněk
core
Generalized Picture Fuzzy Soft Sets and Their Application in Decision Support Systems
In this paper, a generalized picture fuzzy soft set is proposed, which is an extension of the picture fuzzy soft sets. We investigate the basic properties of picture fuzzy soft sets and define an F-subset, M-subset, extended union, extended intersection,
Muhammad Jabir Khan +3 more
semanticscholar +1 more source
Combination of interval-valued fuzzy set and soft set
AbstractThe soft set theory, proposed by Molodtsov, can be used as a general mathematical tool for dealing with uncertainty. By combining the interval-valued fuzzy set and soft set models, the purpose of this paper is to introduce the concept of the interval-valued fuzzy soft set.
Jingyu Yang +4 more
openaire +2 more sources
Object–Parameter Approaches to Predicting Unknown Data in an Incomplete Fuzzy Soft Set
The research on incomplete fuzzy soft sets is an integral part of the research on fuzzy soft sets and has been initiated recently. In this work, we first point out that an existing approach to predicting unknown data in an incomplete fuzzy soft set ...
Liu Yaya +3 more
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Weighted Constraints in Fuzzy Optimization [PDF]
Many practical optimization problems are characterized by someflexibility in the problem constraints, where this flexibility canbe exploited for additional trade-off between improving theobjective function and satisfying the constraints.
Kaymak, U., Sousa, J.M.
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Soft sets have been successfully applied to many different fields to cope with uncertainties. Recently, to increase the success of the applications, these sets have been combined with other theories, such as fuzzy sets and intuitionistic fuzzy sets.
Tuğçe Aydın +2 more
doaj
A Distance-Based Parameter Reduction Algorithm of Fuzzy Soft Sets
Kong et al. introduced the concept of normal parameter reduction in fuzzy soft sets. However, due to entries of fuzzy soft sets belonging to the unit interval [0, 1], it is nearly impossible to obtain the normal parameter reduction of fuzzy soft sets in ...
Xiuqin Ma, Hongwu Qin
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