2016
DOI: 10.20454/ijas.2016.1055
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Cubic Hesitant Fuzzy Sets and Their Applications to Multi Criteria Decision Making

Abstract: In this paper we introduced cubic hesitant fuzzy set and defined internal (external) cubic hesitant fuzzy set, P(R)-union and P(R)-intersection of cubic hesitant fuzzy sets. Furthermore we defined P(R)-addition and P(R)-multiplication of cubic hesitant fuzzy sets. By using the defined operations of cubic hesitant fuzzy sets we proved their different results. We also defined R-weighted averaging and R-weighted geometric operators for cubic hesitant fuzzy sets and practiced it in multi-criteria decision making p… Show more

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Cited by 71 publications
(32 citation statements)
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References 23 publications
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“…This theory made it possible to deal with uncertainty problems. Cubic set theory also explains the satisfied, unsatisfied, and unpredictable information, which were not explained by FS theory and IFS theory (Mahmood et al 2016;Fahmi et al 2017Fahmi et al , 2018aKaur and Garg 2019;Riaz and Tehrim 2019;Fahmi et al 2019). Cubic set has more desirable information than FS and IFS (Kaur and Garg 2018a;Kaur and Garg 2018b).…”
Section: Introductionmentioning
confidence: 99%
“…This theory made it possible to deal with uncertainty problems. Cubic set theory also explains the satisfied, unsatisfied, and unpredictable information, which were not explained by FS theory and IFS theory (Mahmood et al 2016;Fahmi et al 2017Fahmi et al , 2018aKaur and Garg 2019;Riaz and Tehrim 2019;Fahmi et al 2019). Cubic set has more desirable information than FS and IFS (Kaur and Garg 2018a;Kaur and Garg 2018b).…”
Section: Introductionmentioning
confidence: 99%
“…Numerous MCGDM problems (like, medical diagnosis, strategic financial management, business, etc) have been created with the utilization of aggregation operators 9‐19 . On the basis of cubic fuzzy aggregation operators, various researchers have carried out remarkable work 20‐33 . Being an interesting research subject, aggregation of information by operators is receiving extraordinary consideration from the researchers by the use of Hamacher operations (HO).…”
Section: Introductionmentioning
confidence: 99%
“…Cubic fuzzy set (CFS) has more desirable information than FS and IFS [34] [35] [36]. Some researchers have made many contributions to the research of CFS: Mahmood et al [37] extended CFS to the cubic hesitation fuzzy Set, Fahmi et al [28] [29] [38] extended CFS to the cubic linguistic hesitation fuzzy set, and so on. Subsequently, some AOs based on CFS are proposed and applied in practice [27] [30] [31] [32] [33].…”
Section: Introductionmentioning
confidence: 99%