Author(s)

M.R. Vescovi, L. Trave-Massuyes, M.M. Lamego, C. Dalvi & E.P. Ferreira

Abstract

Qualitative interval (or fuzzy) simulation of complex continuous processes: Fitting information availability and accuracy requirements M.R. Vescovi," L. Trave-Massuyes,* M.M. Lamego,' C. Dalvi' & E.P. Ferreira" * Knowledge Systems Laboratory, Stanford University, 701 Welch Road B.# C, Palo Alto ^ Centre National de la Recherche Scientifique, Laboratoire d'Automatique et d' Analyse des Systems, 7 avenue du Colonel Roche • 31077 Toulouse, France c Dept. de Engenharia Eletrica, Universidade Federal do Espirito Santo, 29045 Vitoria ES, Brasil ABSTRACT The objective of this paper is to show through a real-world application why qualitative methods based on interval (or fuzzy) arithmetic with strong properties concerning soundness and completeness are adequate for modeling complex continuous processes. Firstly, we discuss modeling characteristics of such an important class of physical systems that includes chemical, nuclear, siderurgical and other industrial process

Keywords