Fuzzy Soft Expert Set and Its Application
Applied Mathematics, 2014 In 1999, Molodtsov introduced the concept of soft set theory as a general mathematical tool for dealing with uncertainty. Alkhazaleh and Salleh (2011) define the concept of soft expert sets where the user can know the opinion of all experts in one model and give an application of this concept in decision making problem.
S Alkhazaleh, Abdul Razak Salleh
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Fuzzy soft tensor based group decision making approach with application to heterogeneous wireless network evaluation [PDF]
Scientific ReportsThis study introduces a novel group decision-making framework based on the Fuzzy Soft Tensor (FST) model to effectively address complex multi-criteria decision-making (MCDM) problems under uncertainty and imprecise expert judgments.
Muhammad Bilal +2 more
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A novel decision analytic model for environmental sustainability challenges using interval-valued complex spherical fuzzy soft sets [PDF]
Scientific ReportsThe growing complications and inconsistencies in sustainable development evaluations require refined decision-making approaches that analyze vagueness in expert opinions.
Saalam Ali +6 more
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Journal of New Results in Science, 2015 Alkhazaleh and Salleh introduced the fuzzy soft expert sets which allow to know the opinion of more than one expert and the fuzzy set corresponding to it in one model.
Hilal Donmez, Serdar Enginoglu
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Generalized Q-Neutrosophic Soft Expert Set for Decision under Uncertainty [PDF]
Symmetry, 2018 Neutrosophic triplet structure yields a symmetric property of truth membership on the left, indeterminacy membership in the centre and false membership on the right, as do points of object, centre and image of reflection. As an extension of a neutrosophic set, the Q-neutrosophic set was introduced to handle two-dimensional uncertain and inconsistent ...
Majdoleen Abu Qamar +2 more
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Fuzzy Hypersoft Expert Set with Application in Decision Making for the Best Selection of Product [PDF]
Neutrosophic Sets and Systems, 2021 Numerous researchers have made a few models dependent on soft set, to tackle issues in decision making and clinical analysis, yet a large portion of these models manage one expert.
Muhammad Ihsan +2 more
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Neutrosophic Hypersoft Expert Set: Theory and Applications [PDF]
Neutrosophic Sets and Systems, 2022 Soft set-like models deal with single argument approximate functions while hypersoft set, an extension of the soft set, deals with multi-argument approximate functions.
Muhammad Ihsan +2 more
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An intelligent fuzzy parameterized MADM-approach to optimal selection of electronic appliances based on neutrosophic hypersoft expert set [PDF]
Neutrosophic Sets and Systems, 2023 When compared to its extension, the hypersoft set, which deals with discontinuous attribute-valued sets corresponding to different attributes, the soft set only works with a single set of attributes. Numerous scholars created models based on soft sets to
Muhammad Ihsan +2 more
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Single Valued Neutrosophic Hypersoft Expert Set with Application in Decision Making [PDF]
Neutrosophic Sets and Systems, 2021 Soft set deals with single set of attributes whereas its generalization i.e. hypersoft set deals with multiple disjoint attribute-valued sets corresponding to distinct attributes.
Muhammad Ihsan +2 more
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An algorithmic multiple attribute decision-making method for heart problem analysis under neutrosophic hypersoft expert set with fuzzy parameterized degree-based setting [PDF]
PeerJ Computer Science, 2023 A fuzzy parameterized neutrosophic hypersoft expert set (FpNHse-set) is one of the family members of fuzzy parameterized structures and a valuable extension of the neutrosophic soft expert set as well as the neutrosophic hypersoft set.
Muhammad Ihsan +3 more
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