Multiple criteria decision making (MCDM) using fuzzy logic: an innovative approach to sustainable agriculture

Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society Pub Date : 1995-03-17 DOI:10.1109/ISUMA.1995.527746

L. A. Marks, E. G. Dunn, J. Keller, L. Godsey

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引用次数: 32

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.

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基于模糊逻辑的多准则决策:可持续农业的创新途径

一个农业系统要被认为是可持续的，就需要满足一定的经济、环境和社会标准。过去一直缺乏一种综合衡量这三个领域成就的办法。本文认为，多准则决策与模糊逻辑的结合为替代农业系统的评价提供了一个有前景的理论框架。本文描述了三种众所周知的MCDM方法，以说明使用常规MCDM方法可能出现的一系列问题。这些问题包括:(1)不相称单位的处理;(2)求解的排序程序;和，(3)属性值之间的区别程度，和，因此选择。MCDM与模糊逻辑的结合为克服这些问题提供了一种优越的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society

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