Graduate studies at Western
Artificial Intelligence and Law 15 (4):411-427 (2007)
|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.|
|Keywords||Fuzzy logic Precautionary principle Environmental law|
|Categories||categorize this paper)|
|Through your library||Configure|
Similar books and articles
Merrie Bergmann (2008). An Introduction to Many-Valued and Fuzzy Logic: Semantics, Algebras, and Derivation Systems. Cambridge University Press.
Giangiacomo Gerla (2005). Fuzzy Logic Programming and Fuzzy Control. Studia Logica 79 (2):231 - 254.
Vilém Novák (1987). First-Order Fuzzy Logic. Studia Logica 46 (1):87 - 109.
V. Di Gesù, F. Masulli & Alfredo Petrosino (eds.) (2006). Fuzzy Logic and Applications: 5th International Workshop, Wilf 2003, Naples, Italy, October 9-11, 2003: Revised Selected Papers. [REVIEW] Springer.
Susan Haack (1996). Deviant Logic, Fuzzy Logic: Beyond the Formalism. University of Chicago Press.
Andrea Bonarini (ed.) (1996). New Trends in Fuzzy Logic: Proceedings of the Wilf '95, Italian Workshop on Fuzzy Logic, Naples, Italy, 21-22 September 1995. [REVIEW] World Scientific.
Jürgen Hollatz (1999). Analogy Making in Legal Reasoning with Neural Networks and Fuzzy Logic. Artificial Intelligence and Law 7 (2-3):289-301.
Mingqiang Xu, Kaoru Hirota & Hajime Yoshino (1999). A Fuzzy Theoretical Approach to Case-Based Representation and Inference in CISG. Artificial Intelligence and Law 7 (2-3):259-272.
Added to index2009-01-28
Total downloads6 ( #154,923 of 739,985 )
Recent downloads (6 months)1 ( #61,680 of 739,985 )
How can I increase my downloads?