Abstract
Strategic Environmental Assessment (SEA) is used to evaluate the environmental effects of regional plans and programs. SEA expresses dependencies between plan activities (infrastructures, plants, resource extractions, buildings, etc.) and environmental pressures, and between these and environmental receptors. In this paper we employ fuzzy logic and many-valued logics together with numeric transformations for performing SEA. In particular, we discuss four models that capture alternative interpretations of the dependencies, combining quantitative and qualitative information. We have tested the four models and presented the results to the expert for validation. The interpretability of the results of the models was appreciated by the expert that liked in particular those models returning a possibility distribution in place of a crisp result.
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References
Dubois, D., Prade, H.: Fuzzy Sets and Systems: Theory and Applications. Academic Press, London (1980)
Dubois, D., Prade, H.: Possibility theory, probability theory and multiple-valued logics: a clarification. Annals of Mathematics and Artificial Intelligence 32(1-4), 35–66 (2001)
Gavanelli, M., Riguzzi, F., Milano, M., Cagnoli, P.: Logic-Based Decision Support for Strategic Environmental Assessment. Theory and Practice of Logic Programming, Special Issue 10(4-6), 643–658 (2010); 26th Int’l. Conference on Logic Programming (ICLP 2010)
Hájek, P.: Metamathematics of Fuzzy Logic (Trends in Logic), 1st edn. Springer, Heidelberg (2001)
Novák, V.: Mathematical fuzzy logic in narrow and broader sense - a unified concept. In: BISCSE 2005. The Berkeley Initiative in Soft Computing, Univ. of California, Berkeley (2005)
Saade, J.: A unifying approach to defuzzification and comparison of the outputs of fuzzy controllers. IEEE Transactions on Fuzzy Systems 4(3), 227–237 (1996)
Sorensen, J.C., Moss, M.L.: Procedures and programs to assist in the impact statement process. Tech. rep., Univ. of California, Berkeley (1973)
Wulff, N., Sottara, D.: Fuzzy reasoning with a Rete-OO rule engine. In: Governatori, G., Hall, J., Paschke, A. (eds.) RuleML 2009. LNCS, vol. 5858, pp. 337–344. Springer, Heidelberg (2009)
Zadeh, L.A.: Fuzzy sets. Information and Control 8(3), 338–353 (1965)
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Gavanelli, M., Riguzzi, F., Milano, M., Sottara, D., Cangini, A., Cagnoli, P. (2011). An Application of Fuzzy Logic to Strategic Environmental Assessment. In: Pirrone, R., Sorbello, F. (eds) AI*IA 2011: Artificial Intelligence Around Man and Beyond. AI*IA 2011. Lecture Notes in Computer Science(), vol 6934. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23954-0_30
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DOI: https://doi.org/10.1007/978-3-642-23954-0_30
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