An application of fuzzy logic to strategic environmental assessment

Marco Gavanelli, Fabrizio Riguzzi, Michela Milano, Davide Sottara, Alessandro Cangini, Paolo Cagnoli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationAI*IA 2011
Subtitle of host publicationArtificial Intelligence Around Man and Beyond - XIIth International Conference of the Italian Association for Artificial Intelligence, Proceedings
Pages324-335
Number of pages12
DOIs
StatePublished - 2011
Externally publishedYes
Event12th International Conference of the Italian Association for Artificial Intelligence, AI*IA 2011 - Palermo, Italy
Duration: Sep 15 2011Sep 17 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6934 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other12th International Conference of the Italian Association for Artificial Intelligence, AI*IA 2011
Country/TerritoryItaly
CityPalermo
Period9/15/119/17/11

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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