Interval-valued Possibility Quadripartitioned Single Valued Neutrosophic Soft Sets and some uncertainty based measures on them [PDF]
Neutrosophic Sets and Systems, 2016 The theory of quadripartitioned single valued neutrosophic sets was proposed very recently as an extension to the existing theory of single valued neutrosophic sets.
Rajashi Chatterjee +2 more
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Gaussian single-valued neutrosophic numbers and its application in multi-attribute decision making [PDF]
Neutrosophic Sets and Systems, 2018 The fuzzy set and intuitionistic fuzzy set are two useful mathematical tool for dealing with impression and uncertainty. However sometimes these theories may not suffice to model indeterminate and inconsistent information encountered in real world.
Faruk Karaaslan
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Total Domination in Uniform Single Valued Neutrosophic Graph [PDF]
Neutrosophic Sets and SystemsIn graph theory, the neutrosophic graph is a new extension of the intuitionistic fuzzy graph and fuzzy graph. It offers greater accuracy and flexibility in scheduling and implementing numerous real-life issues. The introduction of neutrosophic graphs has
T.P. Sreelakshmi, K. Uma Samundesvari
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Rough Approximations of Complex Quadripartitioned Single Valued Neutrosophic Sets
Journal of New Theory, 2021 The quadripartitioned single valued neutrosophic set consisting of the real-valued amplitude terms: truth-membership grade, contradiction-membership grade, ignorance-membership grade and falsity-membership grade, cannot handle complex-valued information.
Hüseyin Kamacı
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Bijective Single Valued Neutrosophic Graph and Its Application in Fraud Detection Analysis in Social Networks [PDF]
Neutrosophic Sets and SystemsIn this paper, a new concept of bijective single valued neutrosophic set and bijective single valued neutrosophic graphs are introduced. Also, the height, depth, bijective single valued neutrosophic bridge (BSVN – Bridge), bijective single valued ...
D.Rajalaxmi, R.Shivaragavi , Said Broumi
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A new method to construct entropy of interval-valued Neutrosophic Set [PDF]
Neutrosophic Sets and Systems, 2016 Interval-valued neutrosophic set (INS) is a generalization of fuzzy set (FS) that is designed for some practical situations in which each element has different truth membership function, indeterminacy membership function and falsity membership function ...
Chunfang Liu, YueSheng Luo
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Neutrosophic Tangent Similarity Measure and Its Application to Multiple Attribute Decision Making [PDF]
Neutrosophic Sets and Systems, 2015 In this paper, the tangent similarity measure of neutrosophic sets is proposed and its properties are studied. The concept of this tangent similarity measure of single valued neutrosophic sets is a parallel tool of improved cosine similarity measure of ...
Kalyan Mondal, Surapati Pramanik
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Computing Operational Matrices in Neutrosophic Environments: A Matlab Toolbox [PDF]
Neutrosophic Sets and Systems, 2017 Neutrosophic set is a generalization of classical set, fuzzy set, and intuitionistic fuzzy set by employing a degree of truth (T), a degree of indeterminacy (I), and a degree of falsehood (F) associated with an element of the dataset.
Said Broumi +5 more
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A Note on Single Valued Neutrosophic Sets in Ordered Groupoids [PDF]
International Journal of Neutrosophic Science, 2020 The aim of this paper is to combine the notions of ordered algebraic structures and neutrosophy. In this regard, we define for the first time single valued neutrosophic sets in ordered groupoids. More precisely, we study single valued neutrosophic subgroupoids of ordered groupoids, single valued neutrosophic ideals of ordered groupoids, and single ...
Al-Tahan, M., Davvaz, B., Parimala, M.
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Semantic Risk Analysis Based on Single-Valued Neutrosophic Sets [PDF]
IEEE Access, 2019 Fuzzy risk analysis is diffusely applied in risk assessment of components by the semantic model. Due to the fuzzy characteristic in the process of fuzzy risk analysis, analysis parameters are imprecise and vague. Therefore, the determination of the risk of failure is challenging part of fuzzy risk analysis with existing methods. Hence, in this paper, a
Linfeng Gou, Meijuan Wang
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