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Complex fuzzy soft expert sets

AIP Conference Proceedings, 2017
Complex 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
openaire   +1 more source

Cubic soft expert sets and their application in decision making

Journal of Intelligent & Fuzzy Systems, 2016
The 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
openaire   +2 more sources

Generalized vague soft expert set theory

AIP Conference Proceedings, 2013
The 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
openaire   +1 more source

A Generalized Approach towards Soft Expert Sets via Neutrosophic Cubic Sets with Applications in Games

open access: yesSymmetry, 2019
Games are considered to be the most attractive and healthy event between nations and peoples. Soft expert sets are helpful for capturing uncertain and vague information.
Muhammad Gülistan   +2 more
exaly   +2 more sources

Multi Q-fuzzy soft expert set and its application

Journal of Intelligent & Fuzzy Systems, 2015
Molodtsov 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
openaire   +2 more sources

Mappings on classes of expert complex fuzzy soft sets

Afrika Matematika, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ganeshsree Selvachandran   +3 more
openaire   +2 more sources

Q-Neutrosophic Soft Expert Set and its Application in Decision Making

International Journal of Fuzzy System Applications, 2018
This article describes how Smarandache defined neutrosophic sets to handle problems involving incomplete, indeterminacy and awareness of inconsistency knowledge, and is further developed to neutrosophic soft expert sets by Sahin et al. Adam and Hassan defined multi Q-fuzzy soft sets as an extension to fuzzy soft sets and gave its applications.
Nasruddin Hassan   +2 more
openaire   +1 more source

Time Fuzzy Parameterized Fuzzy Soft Expert Sets

International Journal of Neutrosophic Science
Finally 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
openaire   +1 more source

Effective Neutrosophic Soft Expert Set and Its Application

International Journal of Neutrosophic Science
The 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
openaire   +1 more source

A novel group decision-making framework under Pythagorean fuzzy N-soft expert knowledge

Engineering Applications of Artificial Intelligence, 2023
Muhammad Akram   +2 more
exaly  

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