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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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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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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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Novel MCGDM analysis under m-polar fuzzy soft expert sets
Neural Computing and Applications, 2021Multi-criteria group decision-making (MCGDM) is an approach to tackle different decision-making situations, where the criteria that drive the decision are considered by different experts. Research regarding MCGDM is quite challenging due to both the structure of the problem and the existence of complex uncertain information. The goal of this article is
Muhammad Akram +3 more
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Fuzzy parameterized complex multi-fuzzy soft expert sets
AIP Conference Proceedings, 2019This paper presents a new approach to time-series applications, called the fuzzy parameterized complex multi-fuzzy soft expert set FPCM k FSE – set. Some operations related to this new concept are defined, such as equal, subset, complement, union and intersection.
Yousef Al-Qudah, 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.
Adam, Fatma, Hassan, Nasruddin
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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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Time Fuzzy Parameterized Fuzzy Soft Expert Sets
International Journal of Neutrosophic ScienceFinally In this study, we define parameterized time fuzzy soft expert set (PTFSES) as an extension of fuzzy soft set. Additionally, we will clarify and investigate the characteristics of its primary operation (complement, union intersection, ”AND” and ”OR”). , we’ll apply this approach to decision-making difficulties.
Anwar Anwar, Ayman.A Hazaymeh
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Effective Neutrosophic Soft Expert Set and Its Application
International Journal of Neutrosophic ScienceThe neutrosophic soft set emerges as a highly valuable and efficient adaptation of soft sets, specifically addressing parameterized values of alternatives. However, numerous decision-making algorithms rooted in neutrosophic soft sets often neglect the external factors impacting their effectiveness.
Sumyyah Al Al-Hijjawi +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.
Qayyum, Afshan +2 more
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