A TAYLOR SERIES APPROACH FOR SOLVING LINEAR FRACTIONAL DECENTRALIZED BI-LEVEL MULTI-OBJECTIVE DECISION-MAKING UNDER FUZZINESS

Abstract

<span>This paper presents a Taylor series approach for solving linear fractional de-</span><br /><span>centralized bi-level multi-objective decision-making (LFDBL-MODM) problems with a</span><br /><span>single decision maker at the upper level and multiple decision makers at the lower level.</span><br /><span>In the proposed approach, the membership functions associated with each objective(s) of</span><br /><span>the level(s) of LFDBL-MODM are transformed by using a Taylor series and then they are</span><br /><span>unified. On using the Kuhn-Tucker conditions, the problem is finally reduced to a single</span><br /><span>objective. Numerical example is given in order to illustrate the efficiency and superiority</span><br /><span>of the proposed approach.</span>