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Multiple models based on fuzzy qualitative modelling
Affiliation:Intelligent Automation Laboratory, Department of Electrical and Electronic Engineering, Heriot-Watt University, Edinburgh EH1 2HT, UK;Department of Electrical Engineering, Delft University of Technology, The Netherlands;Department of Electrical and Elecronics Engineering, University of Wales, Swansea, UK
Abstract:This paper presents a systematic investigation of developing multiple models of a physical system through the use of Fuzzy Qualitative Modelling (FuSim) technique, essentially along with four basic modelling dimensions identified: abstraction, commitment, model resolution, and relation strength. Implications of multiple models for Model-Based Reasoning in general and Model-Based Diagnosis in particular are discussed. Examples for building up multiple models against different modelling dimensions are provided with respect to a simple physical system and experimental simulation results shown.
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