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Bipolar fuzzy soft expert set and its application in decision making
International Journal of Applied Decision Sciences, 2017In this paper, we extend the two concepts of bipolar fuzzy sets and soft expert sets to bipolar fuzzy soft expert sets. We will define its basic theoretic operation, namely complement, union, intersection, AND and OR on bipolar fuzzy soft expert sets along with illustrative examples, and study some related properties with supporting proofs.
Yousef Al-Qudah, Nasruddin Hassan
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Time Q-Neutrosophic Soft Expert Set
International Journal of Neutrosophic Science, 2022This paper is a combination of time neutrosophic soft sets and Q- neutrosophic soft expert sets. We define the general concept of time Q-neutrosophic soft expert sets and study its properties. Some operations such as complement, union, and intersection are explored. Then a hypothetical application of this concept in the decision-making problem is given.
Sumyyah Al Al-Hijjawi +2 more
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On spherical fuzzy soft expert sets
AIP Conference Proceedings, 2020As a generalization of Zadeh's fuzzy set theory, soft set theory was introduced by Molodtsov in 1999. It is a new mathematical tool to deal with uncertainty in a parametric manner. Also, it has a rich potential for applications in several directions. In 2011, Alkhazaleh and Salleh introduced the concept of soft expert sets where the user can know the ...
Fathima Perveen P. A. +2 more
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AIP Conference Proceedings, 2013
The concept of fuzzy soft expert set theory and its operations were reviewed. The concept of vague soft expert set theory is introduced. Its operations such as equal, subset, complement, union and intersection are defined. Illustrative examples of vague soft expert set are then given.
Nasruddin Hassan, Khaleed Alhazaymeh
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The concept of fuzzy soft expert set theory and its operations were reviewed. The concept of vague soft expert set theory is introduced. Its operations such as equal, subset, complement, union and intersection are defined. Illustrative examples of vague soft expert set are then given.
Nasruddin Hassan, Khaleed Alhazaymeh
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Complex fuzzy soft expert sets
AIP Conference Proceedings, 2017Complex fuzzy sets and its accompanying theory although at its infancy, has proven to be superior to classical type-1 fuzzy sets, due its ability in representing time-periodic problem parameters and capturing the seasonality of the fuzziness that exists in the elements of a set.
Ganeshsree Selvachandran +2 more
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Cubic soft expert sets and their application in decision making
Journal of Intelligent & Fuzzy Systems, 2016The Cubic soft sets are primarily concerned with generalizing the soft sets by using fuzzy sets and interval valued fuzzy sets. We introduce the concept of cubic soft expert sets ( CSESs ) which can be considered as a generalization of both soft expert and cubic soft expert sets.
Afshan Qayyum +2 more
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Generalized vague soft expert set theory
AIP Conference Proceedings, 2013The concept of generalized vague soft expert set and its operations are studied. Also, the multi-opinion of generalized vague soft expert set in a decision making problem with uncertainty is introduced. The basic operations of generalized vague soft expert set theory, namely, complement, subset, union, intersection, “AND” and “OR” operations are ...
Khaleed Alhazaymeh, Nasruddin Hassan
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Multi Q-fuzzy soft expert set and its application
Journal of Intelligent & Fuzzy Systems, 2015Molodtsov introduced the concept of soft set as a general mathematical tool for dealing with uncertainty. In this work,we first defined a multi Q-fuzzy soft expert set and its basic operations, namely complement, union, intersection, OR and AND. We then construct a decision-making method on multi Q-fuzzy soft expert set.
Fatma Adam, Nasruddin Hassan
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Mappings on classes of expert complex fuzzy soft sets
Afrika Matematika, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ganeshsree Selvachandran +3 more
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