The application of fuzzy logic to the precautionary principle

  • Authors:

  • Mirit Shamir;Lior Shamir;Mary H. Durfee

  • Affiliations:

  • Department of Social Science, Michigan Tech, Houghton, MI;Department of Computer Science, Michigan Tech, Houghton, MI;Department of Social Science, Michigan Tech, Houghton, MI

  • Venue:
  • Artificial Intelligence and Law
  • Year:
  • 2007

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Abstract

One of the major problems in the implementation of the precautionary principle in environmental cases is the estimation of the weight of evidence. In this paper we propose a formal method that determines the weight of evidence based on the specific parameters of a given case. The proposed method is based on an artificial intelligence approach called fuzzy logic, which is commonly used as an interface between logic and human perception, and often applied to computer-based complex decision making. We use one fuzzy expert system that provides a quantification of the estimated environmental damage, and a second fuzzy expert system that computes the weight of evidence in a given case. The proposed expert system can be easily defined and adjusted by regulators and environmental science and policy experts.