Title :
Multiple criteria decision making (MCDM) using fuzzy logic: an innovative approach to sustainable agriculture
Author :
Marks, L.A. ; Dunn, E.G. ; Keller, J.M. ; Godsey, L.D.
Author_Institution :
Dept. of Agric. Econ., Missouri Univ., Columbia, MO, USA
Abstract :
For a farming system to be considered sustainable, certain economic, environmental, and social criteria need to be met. An approach which integrates measures of achievement in these three areas has been lacking in the past. It is argued that the combination of multiple criteria decision making (MCDM) and fuzzy logic provides a promising theoretical framework for the evaluation of alternative farming systems. Three well-known MCDM methods are described to illustrate a range of problems that may arise using conventional MCDM methods. These problems include: (1) the treatment of noncommensurate units; (2) the ranking procedure for a solution; and, (3) the degree of discrimination between attribute values, and, hence alternatives. The combination of MCDM and fuzzy logic provides a superior methodology which overcomes some of these problems
Keywords :
agriculture; decision support systems; decision theory; environmental factors; fuzzy logic; operations research; socio-economic effects; alternative farming systems; attribute value discrimination; economic criteria; environmental criteria; farming system; fuzzy logic; multiple criteria decision making; noncommensurate units; ranking procedure; social criteria; sustainable agriculture; Agricultural engineering; Agriculture; Area measurement; Decision making; Environmental economics; Environmental factors; Fuzzy logic; Measurement units; Resource management; Water resources;
Conference_Titel :
Uncertainty Modeling and Analysis, 1995, and Annual Conference of the North American Fuzzy Information Processing Society. Proceedings of ISUMA - NAFIPS '95., Third International Symposium on
Conference_Location :
College Park, MD
Print_ISBN :
0-8186-7126-2
DOI :
10.1109/ISUMA.1995.527746