Results 41 to 50 of about 586 (177)
A Novel Approach to Neutrosophic Hypersoft Graphs with Properties [PDF]
Neutrosophic Sets and Systems, 2021 Neutrosophic hypersoft set is the combination of neutrosophic set and hypersoft set. It resolves the limitations of intuitionistic fuzzy sets and soft sets for the consideration of the degree of indeterminacy and multi-argument approximate function ...
Muhammad Saeed +3 more
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Mappings on Neutrosophic Soft Classes [PDF]
Neutrosophic Sets and Systems, 2014 In 1995 Smarandache introduced the concept of neutrosophic set which is a mathematical tool for handling problems involving imprecise, indeterminacy and inconsistent data.
Shawkat Alkhazaleh, Emad Marei
doaj
Time-neutrosophic soft set and its applications [PDF]
Journal of Intelligent & Fuzzy Systems, 2016 In 2013 Ayman A. Hazaymeh in his PhD thesis introduced the concept of time-fuzzy soft set as a generalization of fuzzy soft set. In this paper and as a generalization of neutrosophic soft set we introduce the concept of time-neutrosophic soft set and study some of its properties.
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Neutrosophic soft sets and neutrosophic soft matrices based on decision making
, 2014 Maji\cite{maj-13}, firstly proposed neutrosophic soft sets can handle the indeterminate information and inconsistent information which exists commonly in belief systems. In this paper, we have firstly redefined complement, union and compared our definitions of neutrosophic soft with the definitions given by Maji. Then, we have introduced the concept of
Deli, Irfan, Broumi, Said
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Mapping on complex neutrosophic soft expert sets [PDF]
AIP 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
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A New Approach to Neutrosophic Soft Rough Sets]{A New Approach to Neutrosophic Soft Rough Sets
, 2022 Abstract Rough set is a world-renowned innovation for dealing with ambiguous,incomplete, and imprecise situations. Soft set theory and neutrosophic settheory are other advanced mathematical techniques for dealing withambiguous, partial, and inconsistent data. The aim of this paper is tobroaden the scope of rough set theory, soft set theory, and
Adem Yolcu +2 more
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A new method of measuring similarity between two neutrosophic soft sets and its application in pattern recognition problems [PDF]
Neutrosophic Sets and Systems, 2015 Smarandache in 1995 introduced the concept of neutrosophic set and in 2013 Maji introduced the notion of neutrosophic soft set, which is a hybridization of neutrosophic set and soft set. After its introduction neutrosophic soft sets become most efficient
Anjan Mukherjee, Sadhan Sarkar
doaj
Optimising Wave Energy Plant Location Through Neutrosophic Multi‐Criteria Group Decision‐Making
CAAI Transactions on Intelligence Technology, Volume 11, Issue 1, Page 167-189, February 2026.ABSTRACT The global shift towards sustainable energy has intensified research into renewable sources, particularly wave energy. Pakistan, with its long coastline, holds significant potential for wave energy development. However, identifying optimal locations for wave energy plants involves evaluating complex, multi‐faceted criteria.
Hafiz Muhammad Athar Farid +4 more
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A robust framework for medical diagnostics based on interval-valued Q-neutrosophic soft sets with aggregation operators [PDF]
Neutrosophic Sets and SystemsThe best way to deal with complicated life scenarios that accompany the decision-making process is to update previous concepts constantly. Therefore, researchers must constantly discover powerful mathematical tools that suit the accompanying ...
Enad Ghazi , Sinan O. Al-Salihi
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Counterpart of Boundary Topological Operators Within the Framework of Primal Topological Spaces
International Journal of Mathematics and Mathematical Sciences, Volume 2026, Issue 1, 2026.In this paper, we aim to introduce a new operator via primal topological spaces, called the ⊤‐operator, and look into its basic properties. Among the interesting results we prove, for every subset D, we have (1) D⊤⊆Fr(D), where Fr is the topological boundary operator, and (2) D⊤ = ∅, whenever either a subset D or its complement lies outside the given ...
Murad Özkoç +4 more
wiley +1 more source