2015
DOI: 10.3233/ifs-141524
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Interval neutrosophic numbers Choquet integral operator for multi-criteria decision making

Abstract: In this paper, the Choquet integral and the interval neutrosophic set theory are combined to make multi-criteria decision for problems under neutrosophic fuzzy environment. Firstly, a ranking index is proposed according to its geometrical structure, and an approach for comparing two interval neutrosophic numbers is given. Then, a ≤ L implied operation-invariant total order which satisfies order-preserving condition is proposed. Secondly, an interval neutrosophic number Choquet integral (INNCI) operator is esta… Show more

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Cited by 56 publications
(28 citation statements)
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“…Peng and Yang [62] investigated the Choquet integral operator under a Pythagorean fuzzy environment. In addition, the Choquet integral has also expanded to other fuzzy sets, such as the 2-tuple linguistic set [63], interval neutrosophic set [64], and hesitant 2-tuple linguistic set [65]. On the other hand, the prominent feature of the Choquet integral is its depiction of the interactions among input arguments.…”
Section: Application Of Choquet Integralmentioning
confidence: 99%
“…Peng and Yang [62] investigated the Choquet integral operator under a Pythagorean fuzzy environment. In addition, the Choquet integral has also expanded to other fuzzy sets, such as the 2-tuple linguistic set [63], interval neutrosophic set [64], and hesitant 2-tuple linguistic set [65]. On the other hand, the prominent feature of the Choquet integral is its depiction of the interactions among input arguments.…”
Section: Application Of Choquet Integralmentioning
confidence: 99%
“…Many researchers have developed some efficient operators [35][36][37][38][39][40][41][42], for instance, the weighted geometric average (WGA) or averaging (WA) operator, prioritized aggregation (PA) operator, Maclaurin symmetric mean operator, and Bonferroni mean (BM) operator. BM operator was originally defined by Bonferroni [43] and has attracted widespread attention because of its characteristics of capturing interrelationship among arguments.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, SNSs (INSs, and SVNSs) have been widely applied in many areas [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28], such as decision-making, image processing, medical diagnosis, fault diagnosis, and clustering analysis. Especially, many researchers [7,[29][30][31][32][33][34][35][36] have developed various aggregation operators, like simplified neutrosophic weighted aggregation operators, simplified neutrosophic prioritized aggregation operators, single-valued neutrosophic normalized weighted Bonferroni mean operators, generalized neutrosophic Hamacher aggregation operators, generalized weighted aggregation operators, interval neutrosophic prioritized ordered weighted average operators, interval neutrosophic Choquet integral operators, interval neutrosophic exponential weighted aggregation operators, and so on, and applied them to decision-making problems with SNS/SVNS/INS information. Obviously, the aggregation operators give us powerful tools to deal with the aggregation of simplified (single-valued and interval) neutrosophic information in the decision making process.…”
Section: Introductionmentioning
confidence: 99%