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

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  • Mansour Saraj1,
  • Nima Safaei2,
  2. Iran, Islamic Republic of

Revised: 15-04-2016

Accepted: 15-04-2016

Published in Issue 21-03-2015

How to Cite

Saraj, M., & Safaei, N. (2015). A TAYLOR SERIES APPROACH FOR SOLVING LINEAR FRACTIONAL DECENTRALIZED BI-LEVEL MULTI-OBJECTIVE DECISION-MAKING UNDER FUZZINESS. International Journal of Mathematical Modelling & Computations, 5(1), 91-97. https://oiccpress.com/ijm2c/article/view/11242

Abstract

This paper presents a Taylor series approach for solving linear fractional de-centralized bi-level multi-objective decision-making (LFDBL-MODM) problems with asingle 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) ofthe level(s) of LFDBL-MODM are transformed by using a Taylor series and then they areunified. On using the Kuhn-Tucker conditions, the problem is finally reduced to a singleobjective. Numerical example is given in order to illustrate the efficiency and superiorityof the proposed approach.
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