Answering queries on graphical decision models with fuzzy parameters: Algorithms and comparisons

Han Ying Kao*, Chia Hui Huang, Han-Lin Li

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

The reasoning strategy is a critical component for expert systems or decision support systems. After thorough self-evaluation and environmental scan, the knowledge workers need a reliable mechanism for diagnosis and an optimal suggestion for problem solving. This paper designs a reasoning model with a well-known graphical decision model, influence diagrams. In the proposed model, fuzzy probabilities as well as crisp probabilities are involved. The influence diagrams work compactly in problem diagnosis and decision making aid. Two algorithms to handle the fuzzy parameters, piecewise linearization and α-cut methods will be implemented and compared.

Original languageEnglish
Pages (from-to)148-153
Number of pages6
JournalProceedings of the IASTED International Conference on Modelling, Simulation, and Optimization
StatePublished - 27 Dec 2004
EventProceedings of the Fourth IASTED International Conference on Modelling, Simulation, and Optimization - Kauai, HI, United States
Duration: 17 Aug 200419 Aug 2004

Keywords

  • Decision making
  • Fuzzy systems
  • Influence diagrams
  • Multi-objective optimization
  • Reasoning strategy

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