INTERACTIVE FUZZY PROGRAMMING MODEL IN MULTI-OBJECTIVE INVENTORY CONTROL

  • Neha Kumari Department of Mathematics, Jharkhand Rai University, Ranchi, India.
  • Arun Prasad Burnwal Department of Mathematics, GGSESTC, Bokaro, Jharkhand, India.
Keywords: Fuzzy objective, Fuzzy constraint, Compensatory operator, Weighted compensatory operator, Quadratic achievement function, Geometric programming.

Abstract

This paper deals with the interactive fuzzy programming approach for Multi Objective Inventory Control Problem (MOICP). In multi-objective optimization problem, objectives are often non-commensurable and cannot be combined into a single objective. Moreover, the objectives usually conflict with each other in that any improvement of one objective can be achieved only at the expense of another. In real world, all objectives of MOICP are not rigid. Some are rigid and some are fuzzy or all are imprecise. Fuzzy goals are defined by different membership functions through interaction with decision maker. By making the aspiration levels more flexible and by assigning different values to the normal weights to corresponding objectives functions, different solutions are determined to interact with the decision maker.

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Published
2017-01-25
Section
Articles