The analysis of problems involving Multi Objective decision Making (MODM) has been perhaps the fastest growing area of Operational Research and Management Science (OR/MS) during the last 20 years. The traditional Mathematical Programming approach to the modeling of agricultural decisions rests on certain basic assumptions about the situation being modeled and the decision maker himself. One fundamental assumption is that the decision maker (DM) seeks to optimize a well defined single objective. In reality this is not the case, as the DM is usually seeking an optimal compromise amongst several objectives, many of which can be in conflict, or trying to achieve satisfactory levels of his goals. Attributes can be defined as a DM's values related to an objective reality. These values can be measured independently from a DM's desires and in many cases can be expressed as a mathematical function f(x) of the decisional variables. The present paper has undertaken to analyses the food grain production and resource use and to suggest optimum production plans at existing technology and at improved level of technology by using compromise programming
Multi Objective decision Making (MODM), Decision Maker (DM)
