Fuzzy modeling approach for integrated assessments using cultural theory

Adnan Yazici, Fred E. Petry, Curt Pendergraft

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

1 Citation (Scopus)

Abstract

It has already been noted that predicting societal responses accurately requires the use of a formal model such as cultural theory. A basic belief of cultural theory is that all societies and their underlying worldviews, irrespective of time or place, must be more or less hierarchic, more or less individualistic, more or less egalitarian, or more or less fatalistic. This approach has a potential for cross-temporal and spatial comparisons that makes it a particularly attractive instrument for a study of the human dimensions of global climate change. However, a significant difficulty in the previous attempts for utilizing cultural theory in integrated assessment models (IAMs) has been the inexactness or uncertainty inherent in both IAMs and cultural theory. In this paper we introduce a fuzzy-based modeling approach that makes use of cultural theory in integrated assessment approach to provide a mechanism for understanding the reaction of a populace to environmental policy decisions.

Original languageEnglish
Title of host publicationIntelligent Problem Solving
Subtitle of host publicationMethodologies and Approaches - 13th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2000, Proceedings
EditorsRasiah Logananthara, Moonis Ali, Gunther Palm
PublisherSpringer Verlag
Pages250-260
Number of pages11
ISBN (Print)3540676899, 9783540450498
DOIs
Publication statusPublished - Jan 1 2000
Event13th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2000 - New Orleans, United States
Duration: Jun 19 2000Jun 22 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1821
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2000
CountryUnited States
CityNew Orleans
Period6/19/006/22/00

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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