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2004
DOI: 10.1016/s0096-3003(03)00628-3
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A multi-level non-linear multi-objective decision-making under fuzziness

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Cited by 85 publications
(58 citation statements)
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“…Osman et al [43] extended the fuzzy approach of Abo-Sinna [15] for solving non-linear bi-level and tri-level multi-objective decision making under fuzziness. Their method based on the concept that the lower level decision maker maximizes membership goals taking a goal or preference of the ULDM into consideration.…”
Section: Related Workmentioning
confidence: 99%
“…Osman et al [43] extended the fuzzy approach of Abo-Sinna [15] for solving non-linear bi-level and tri-level multi-objective decision making under fuzziness. Their method based on the concept that the lower level decision maker maximizes membership goals taking a goal or preference of the ULDM into consideration.…”
Section: Related Workmentioning
confidence: 99%
“…Lai [1] at first proposed a new solution concept based on tolerance membership functions as well as multiple objective optimizations to develop an effective fuzzy approach for solving MLPP. Shih et al [2] extended Lai's concept and proposed a supervised search procedure by employing non-compensatory max-min aggregation operator for solving MLPP.…”
Section: Introductionmentioning
confidence: 99%
“…Abo-Sinha [23] discussed multi-objective optimization for solving non-linear multi-objective bi-level programming problems in fuzzy environment. Osman et al [24] extended fuzzy approaches [23] for solving non-linear bi-level and tri-level multi-objective decision making under fuzziness. Baky [25] studied FGP algorithm for solving decentralized bi-level multi-objective programming problems.…”
Section: Introductionmentioning
confidence: 99%