Multi-Objective Fuzzy Linear Programming In Agricultural Production Planning

Abstract: Modern agriculture is characterized by a series of conflicting optimization criteria that obstruct the decision-making process in the planning of agricultural production. Such criteria are usually net profit, total cost, total production, etc. At the same time, the decision making process in the agricultural production planning is often conducted with data that accidentally occur in nature or that are fuzzy (not deterministic). Such data are the yields of various crops, the prices of products and raw materials, demand for the product, the available quantities of production factors such as water, labor etc. In this paper, a fuzzy multi-criteria mathematical programming model is presented. This model is applied in a region of 10 districts in Sri Lanka where paddy is cultivated under irrigated and rain fed water in the two main seasons called �Yala� and �Maha� and the optimal production plan is achieved. This study was undertaken to find out the optimal allocation of land for paddy to get a better yield while satisfying the two conflicting objectives; profit maximizing and cost minimizing subjected to the utilizing of water constraint and the demand constraint. Only the availability of land constraint is considered as a crisp in nature while objectives and other constraints are treated as fuzzy. It is observed that the MOFLP is an effective method to handle more than a single objective occurs in an uncertain, vague environment.

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