为了更好地理解模糊集在环境科学中的应用

M. Ghomshei, J. Meech
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引用次数: 2

摘要

概念的模糊集是由在定量或非定性参数的变化范围内对某一定性参数的置信程度的分布函数来定义的。这个概念可以用不同的尺度参数来表达,而每一个参数本身,并不一定是唯一的。因此,模糊集的形式取决于尺度的选择。在环境领域,监管机构、卫生当局、流行病学家、政治家、环保主义者、工程师和一般公众对污染等概念往往有不同的定义。所有利益集团或多或少都能明确理解的唯一术语是最后的“风险”。对模糊集进行适当的定义和标度,可以为不同学科的专家在整个风险评估过程中进行交流提供一种共同的语言。输入信息的不确定性以模糊方式传播,但系统输出仍然是模糊的,然后可以将其转换为定量风险值或定性语言术语。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards a better understanding of fuzzy sets applied to environmental science
The fuzzy set of a concept is defined by the distribution function of the degree of belief in a certain qualitative parameter, over a range of variation in a quantitative or less-qualitative parameter. The concept may be expressed with different scaling parameters and each parameter on its own, is not necessarily unique. Thus the form of a fuzzy set depends on the choice of scale. In the environmental field, regulators, health authorities, epidemiologists, politicians, environmentalists, engineers and the general public often have different definitions for a concept such as contamination. The only term which is more or less unequivocally understood by all interested groups is the final "risk". Proper definition and scaling of fuzzy sets can provide a common language through which experts from different disciplines can communicate through the entire process of risk assessment. The uncertainty of the input information is propagated in a fuzzy approach and yet the system output will remain fuzzy which can then be translated into either quantitative risk values or qualitative linguistic terms.
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