2020
DOI: 10.37418/amsj.9.10.27
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Complex Cubic Intuitionistic Fuzzy Set and Its Decision Making

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Cited by 4 publications
(5 citation statements)
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“…Definition 11 (see [37]). A complex cubic intuitionistic fuzzy set (CoCIFS) _ F on a universe Ǚ is defined by…”
Section: Preliminariesmentioning
confidence: 99%
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“…Definition 11 (see [37]). A complex cubic intuitionistic fuzzy set (CoCIFS) _ F on a universe Ǚ is defined by…”
Section: Preliminariesmentioning
confidence: 99%
“…Zhou et al [36] used CoCF aggregation operators in group decision-making. Chinnadurai et al [37] presented the notion of complex cubic intuitionistic fuzzy set (CoCIFS) which is a combination of complex cubic membership values and complex cubic nonmembership values and define some related operations on these sets. Rani and Garg [38] proposed an application of complex intuitionistic fuzzy preference relation and their application in individual and group decision-making.…”
Section: Introductionmentioning
confidence: 99%
“…These events encompass numerous fuzzy variables that are related in a way that conventional fuzzy operations are unable to sufficiently identify. The notions of Complex Intuitionistic Fuzzy Set (CIFS) and complex cubic intuitionistic fuzzy set were defined in [31,32]. Dynamic aggregation operators on CIF was presented in [33].…”
Section: Introductionmentioning
confidence: 99%
“…Frank aggregation operators on CIFS was proposed in [34]. Chinnadurai et al [35] designed the operations of the complex Interval-valued Pythagorean fuzzy sets. Akram et al [36] introduced a novel decision making approach based on Complex Pythagorean Fuzzy Set (CPFS) theory.…”
Section: Introductionmentioning
confidence: 99%
“…They can be used to model uncertainty in complex systems and make more accurate predictions and decisions based on incomplete or uncertain information. Chinnadurai et al [11,12] studied the concepts of complex cubic interval-valued intuitionistic fuzzy sets and complex cubic intuitionistic fuzzy sets in a multi-criteria decision-making processes. Complex cubic fuzzy information was used in international trade [13], and complex Pythagorean fuzzy sets with their application are presented in [14].…”
Section: Introductionmentioning
confidence: 99%