Results 21 to 30 of about 43,620 (251)

n-ary Fuzzy Hypersoft Expert Sets [PDF]

open access: yesNeutrosophic Sets and Systems, 2021
In 2018, Smarandache introduced the concept of hypersoft set by replacing the approximate function of the Molodtsov’s soft sets with the multi-argument approximate function.
Huseyin Kamacı, Muhammad Saqlain
doaj   +1 more source

Soft Expert Sets [PDF]

open access: yesAdvances in Decision Sciences, 2011
In 1999, Molodtsov introduced the concept of soft set theory as a general mathematical tool for dealing with uncertainty. Many researchers have studied this theory, and they created some models to solve problems in decision making and medical diagnosis, but most of these models deal only with one expert.
Shawkat Alkhazaleh, Abdul Razak Salleh
openaire   +1 more source

Enhancing Failure Mode and Effect Analysis with Neutrosophic Inverse Soft Expert Sets [PDF]

open access: yesNeutrosophic Sets and Systems, 2023
In this study, we introduce a novel concept, the Neutrosophic Inverse Soft Expert Set (NISES), and apply it to the Failure Mode and Effect Analysis (FMEA) framework. Developed by NASA, FMEA is a robust tool for addressing industrial challenges.
S. Vijayabalaji   +3 more
doaj   +1 more source

Neutrosophic vague soft expert set theory [PDF]

open access: yesJournal of Intelligent & Fuzzy Systems, 2016
In this paper, we first introduce the concept of neutrosophic vague soft expert sets (NVSESs for short) which combines neutrosophic vague sets and soft expert sets to be more effective and useful. We also define its basic operations, namely complement, union, intersection, AND and OR along with illustrative examples, and study some related properties ...
Ashraf Al-Quran, Nasruddin Hassan
openaire   +4 more sources

Decision-making techniques based on similarity measures of possibility neutrosophic soft expert sets [PDF]

open access: yesNeutrosophic Sets and Systems, 2023
A neutrosophic set (NS) is a novel computing technique that accesses uncertain information by using three memberships. The main goal of this study is to come up with a novel approach called the ”possibility neutrosophic soft expert set” (PNSE-set), which
Faisal Al-Sharqi   +2 more
doaj   +1 more source

Mapping on complex neutrosophic soft expert sets [PDF]

open access: yesAIP Conference Proceedings, 2018
We introduce the mapping on complex neutrosophic soft expert sets. Further, we investigated the basic operations and other related properties of complex neutrosophic soft expert image and complex neutrosophic soft expert inverse image of complex neutrosophic soft expert sets.
Al-Quran, Ashraf, Nasruddin Hassan
openaire   +2 more sources

Generalized Soft Expert Set and Its Applications

open access: yesJournal of Applied Mathematics and Physics, 2023
exaly   +2 more sources

Vague –Valued Possibility Neutrosophic Vague Soft Expert Set Theory and Its Applications [PDF]

open access: yesNeutrosophic Sets and Systems, 2019
In this paper, we first propose the concept of Vague-valued possibility Neutrosophic vague soft expert sets (VPNVSEsets in short). It is a combination of vague-valued possibility neutrosophic vague sets and soft expert sets.
Anjan Mukherjee
doaj   +1 more source

GENERALIZED VAGUE SOFT EXPERT SET [PDF]

open access: yesInternational Journal of Pure and Apllied Mathematics, 2014
The concept of generalized vague soft expert set and its operations are proposed. The basic operations of generalized vague soft expert set theory "AND" and "OR" operations are defined along with illustrative examples.
K. Alhazaymeh, N. Hassan
openaire   +1 more source

SOFT EXPERT GENERALIZED CLOSED SETS [PDF]

open access: yesInternational Journal of Pure and Apllied Mathematics, 2014
The soft expert models are richer than soft set models since the soft set models are created with the help of one expert whereas but the soft expert models are made with the opinions of all experts. In the present paper, we introduce soft expert generalized closed sets (soft expert g-closed sets) and soft expert generalized open sets (soft expert g ...
K. Kannan, D. Narasimhan
openaire   +1 more source

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