MANAGEMENT OF AGRICULTURAL NON-POINT SOURCE POLLUTION: A FUZZY OPTIMIZATION APPROACH
Because of the complexities of the farm systems, one of the few feasible means of making an assessment is to construct mathematical models of farms. The models usually used in practice are generally income-maximizing linear programming models of farms and they are manipulated by imposing selective constraints on farm income. These models need, however, a precise definition of constraint fulfilment and objective function, as well as precise data of coefficients. This is not always possible in practice.
In the paper we show an application of fuzzy linear programming modelling to overcome these difficulties. Lack of practical knowledge on, first, the constraints fulfilment and objective function maximization and, second, on coefficients and right hand sides in balance constraints is accounted for in terms of fuzzy sets. General conclusions and suggestions about fuzzy optimization approach on management of agricultural non-point source pollution and its practical application are finally drawn.
DOI: 10.17660/ActaHortic.1996.406.45
https://doi.org/10.17660/ActaHortic.1996.406.45