Fuzzy decision making medling in the anlysis of agricultural system for enhancing agricultural production

Abstract

A Mathematical model is a description of system using mathematical newlineconcepts and language. It is an abstract model that uses mathematical language to newlinedescribe the behavior of a system. In 1974 Eykhoff defined a mathematical model as newline a representation of the essential aspects of an existing system or a system to be newlineconstructed which represents knowledge of that system in useable form . The newlineprocess of developing a mathematical model is termed mathematical modeling. the newlinemethod of mathematical modeling, which reduces that study of phenomena of the newlineexternal world of mathematical exercises, occupies a central place among other newlinemethods of investigation. Mathematical models are used particularly in natural newlinesciences and engineering disciplines such as physics, biology and electrical newlineengineering but also in social sciences such as economics, sociology and political newlinescience; physicists engineers, computer scientists and economist use mathematical newlinemodels most extensively. newlineMost probably, the natural systems contains number of uncertainities and newlinetheir predictions are very much difficult in an uncertain situation. The development newlineof specific mathematical models for such natural systems in an uncertain context is newlineterrible task due to lack of clear-cut interpretation of the parameters. newlineThe main beliefs of fuzzy decision making modeling where outlined by newlineZadeh in 1965 where he proposed a new approach that provides an approximate and newlineyet effective means of describing the behavior of natural systems which are two newlinecomplex or too ill-defined to admit use of precise mathematical analysis. newlineA fuzzy decision making model represents the real system in a form that newlinecorresponds closely to the way humans perceive it. Thus, the decision making model newlineis understandable, even by non-professionals, and each parameter has a readily perceivable meaning. The decision making model can be easily altered to newlineincorporate new phenomena, and if its behavior is different than expected it is newlineusually possible to find which rule or term should be modified.