2016
DOI: 10.1007/s10479-016-2283-4
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Conic scalarization approach to solve multi-choice multi-objective transportation problem with interval goal

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Cited by 76 publications
(25 citation statements)
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“…Maity et al [36] studied MOTP under dual hesitant fuzzy environment. Roy et al [37] studied conic scalarization for solving MOTP. Both ways multi-objective TP was solved by Roy et al [38].…”
Section: Review Of Related Workmentioning
confidence: 99%
“…Maity et al [36] studied MOTP under dual hesitant fuzzy environment. Roy et al [37] studied conic scalarization for solving MOTP. Both ways multi-objective TP was solved by Roy et al [38].…”
Section: Review Of Related Workmentioning
confidence: 99%
“…In an additional publication, the same authors demonstrated solving a fuzzy transportation problem (FTP) using a multichoice goal programming approach [18]. Roy et al [19] also proposed the technique of introducing a conic scalarizing function into the MOTP in combination with RMCGP.…”
Section: Problem Overviewmentioning
confidence: 99%
“…Another important notation is to incorporate the goal preferences of the decision maker. The authors have proposed to solve multi-choice multi-objective transportation problem by employing the conic scalarization approach with less number of variables and with minimum computational burden (Roy et al 2017b). Whereas Das et al (2019) they studied the solid transportation-p-facility location problem (ST-p-FLP).…”
Section: A Literature Reviewmentioning
confidence: 99%