2019
DOI: 10.1109/access.2019.2946985
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Hesitant Bipolar-Valued Neutrosophic Set: Formulation, Theory and Application

Abstract: This paper proposes a hesitant bipolar-valued neutrosophic set (HBVNS) based on the combination of bipolar neutrosophic sets and hesitant fuzzy sets. The proposed set generalizes the notions of fuzzy set, intuitionistic fuzzy set, hesitant fuzzy set, single-valued neutrosophic set, single-valued neutrosophic hesitant fuzzy set, bipolar fuzzy set and bipolar neutrosophic set. Further, we define the basic operational laws, union, intersection and complement for hesitant bipolar-valued neutrosophic elements (HBVN… Show more

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Cited by 11 publications
(11 citation statements)
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“…(Awang et al 2019a , b ) Let X be a reference set and with a generic element in X denoted by . A hesitant bipolar-valued neutrosophic set in X is defined as: where and .…”
Section: Preliminariesmentioning
confidence: 99%
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“…(Awang et al 2019a , b ) Let X be a reference set and with a generic element in X denoted by . A hesitant bipolar-valued neutrosophic set in X is defined as: where and .…”
Section: Preliminariesmentioning
confidence: 99%
“…(Awang et al 2019a , b ) Let be a HBNE, then the score function is as below: where and are the number of elements in and , respectively. , , , , and .…”
Section: Preliminariesmentioning
confidence: 99%
See 1 more Smart Citation
“…In 2020, Yiarayong 25 applied the theory of intervalvalued fuzzy soft sets (IVFSSs) to semigroups and introduced the notion of interval-valued fuzzy soft sets (IVFSSs), which is a generalization of fuzzy soft sets (FSSs). After fuzzy set theory, many set theories have been developed interval-valued fuzzy set theory and BFS theory, [26][27][28][29][30][31][32][33][34][35][36] and so forth.…”
Section: Introductionmentioning
confidence: 99%
“…A further study about a few aggregation operators for dual hesitant bipolar fuzzy information was discussed in [45]. Awang et al presented the perception of hesitant bipolarvalued neutrosophic sets and introduced an original decision-making method based on the novel model [46]. ose models were superior to other fuzzy mathematical tools in describing abilities because of considering the bipolarity and nonuniqueness of the membership degree of an element simultaneously.…”
Section: Introductionmentioning
confidence: 99%