Entropy for q-rung linear diophantine fuzzy hypersoft set with its application in MADM [PDF]
A notable advancement in fuzzy set theory is the q-rung linear diophantine fuzzy set. The soft set theory was expanded into the hypersoft set theory. By combining both the q-rung linear diophantine fuzzy set and hypersoft set, this study describes the ...
AN. Surya +4 more
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Contra-HyperSoft Set and Contra-SuperHyperSoft Set
A Soft Set is a parameterized family of subsets of a universe, where each parameter selects elements relevant under that condition. A ContraSoft Set is a parameterized soft set in which each parameter’s values are linked with a contradiction degree, and a threshold mechanism is applied to retain only those values that do not exceed a specified level of
Takaaki Fujita
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A Novel Approach Towards Parameter Reduction Based on Bipolar Hypersoft Set and Its Application to Decision-Making [PDF]
For a mathematical model to describe vague (uncertain) problems effectively, it must have the ability to explain the links between the objects and parameters in the problem in the most precise way.
Sagvan Y. Musa, Baravan A. Asaad
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The experts used the Pythagorean fuzzy hypersoft set (PFHSS) in their research to discourse ambiguous and vague information in decision-making processes.
Pongsakorn Sunthrayuth +5 more
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A New Methodology for Solving Piecewise Quadratic Fuzzy Cooperative Continuous Static Games
This paper deals with n-players fuzzy cooperative continuous static games (FCCSGs). The cost function coefficients are characterized by piecewise quadratic fuzzy numbers.
He Xiao +4 more
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Development of hamming and hausdorff distance metrics for cubic intuitionistic fuzzy hypersoft set in cement storage quality control: Development and evaluation. [PDF]
Saeed M, Saeed MH, Khalid M, Mekawy I.
europepmc +3 more sources
N-bipolar hypersoft sets: Enhancing decision-making algorithms. [PDF]
This paper introduces N-bipolar hypersoft (N-BHS) sets, a versatile extension of bipolar hypersoft (BHS) sets designed to effectively manage evaluations encompassing both binary and non-binary data, thereby exhibiting heightened versatility. The major contributions of this framework are twofold: Firstly, the N-BHS set introduces a parameterized ...
Musa SY.
europepmc +5 more sources
Hybrid decision support system disaster management: application of lattice ordered q-rung linear Diophantine fuzzy hypersoft sets. [PDF]
Vimala J +5 more
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Innovative player evaluation: Dual-possibility Pythagorean fuzzy hypersoft sets for accurate international football rankings. [PDF]
Khan S +5 more
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Hypersoft Topological Spaces [PDF]
Smarandache [48] introduced the concept of hypersoft set which is a generalization of soft set. This notion is more adaptable than soft set and more suited to challenges involving decision-making.
Sagvan Y. Musa, Baravan A. Asaad
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