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A TAYLOR SERIES APPROACH FOR SOLVING LINEAR FRACTIONAL DECENTRALIZED BI-LEVEL MULTI-OBJECTIVE DECISION-MAKING UNDER FUZZINESS | ||
International Journal of Mathematical Modelling & Computations | ||
مقاله 8، دوره 5، 1 (WINTER)، فروردین 2015، صفحه 91-97 اصل مقاله (80.27 K) | ||
نویسندگان | ||
Mansour Saraj؛ Nima Safaei | ||
Iran, Islamic Republic of | ||
چکیده | ||
This paper presents a Taylor series approach for solving linear fractional de- centralized bi-level multi-objective decision-making (LFDBL-MODM) problems with a single decision maker at the upper level and multiple decision makers at the lower level. In the proposed approach, the membership functions associated with each objective(s) of the level(s) of LFDBL-MODM are transformed by using a Taylor series and then they are unified. On using the Kuhn-Tucker conditions, the problem is finally reduced to a single objective. Numerical example is given in order to illustrate the efficiency and superiority of the proposed approach. | ||
کلیدواژهها | ||
Bilevel programming؛ Fractional programming؛ Fuzzy programming؛ Kuhn- Tucker conditions؛ Taylor series | ||
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