Rating is available when the video has been rented.
This feature is not available right now. Please try again later.
Published on Nov 16, 2016
Author's: Neha Kumari, Department of Mathematics Jharkhand Rai University, Ranchi India- 835222. Arun Prasad Burnwal, Department of Mathematics GGSESTC, Bokaro Jharkhand, India-827013. Email: firstname.lastname@example.org This paper deals with the interactive fuzzy programming approach for Multi-Objective Inventory Control Problem (MOICP). In multi-objective optimization problems, 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 situation, 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.