Fuzzy Multi-Objective Linear Programming Approach for Solving Problem of Food Industry

Abstract

Abstract. Enterprises and industrial centers need current decision for making products in fast changing market. Uncertainty and yield defined goals make decision making more difficult. In this situation fuzzy logic is used for coping surrounding environment. This paper deals with a fuzzy linear programming model for a problem of food industry. The different types of achievement function such as compensatory and weighted compensatory form associated with equal importance of objectives and non-importance of objectives both have been discussed.

Maximizing Reliability of Two-Commodity Flow Networks with Time Constraint Using Fuzzy Optimization

“…Newly, FLP is applied to solve several problems [45][46][47][48][49][50]. Mutingi [46] employ a fuzzy multiobjective GA in obtaining high quality solutions to resolve the multi-objective decision issue.…”

“…Dinagar and Kamalanathan [48] presented a proposition about a new ranking techniques of Subinterval average and subinterval addition in order to resolve FLP issue. Sinha et al [49] presented a FLP manner for solving an issue in food industry. Gue et al [50] applied a FLP to find the optimal design to the tri generation method (the power generation, generation of cooling effect and heat generation) .…”