Qualitativeness does not imply fuzziness

R. R. Leitch, Q. Shen

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

Abstract

The motivations for Qualitative Modelling and Fuzzy Modelling are almost identical: to cope with the complexities in the modelling of real systems. However, their developments have been independent, distinct and complementary. The synthesis of these techniques has required a re-appraisal of exactly what model properties are used in these techniques. We argue that precision and uncertainty are distinct concepts. Qualitative Modelling deals with abstract, imprecise models whilst Fuzzy Modelling copes with uncertain, imprecise or precise models. With this clarification we have developed a Fuzzy Qualitative Simulation system, an outline of which is given in this paper. We believe that such combinations of fuzzy and qualitative methods are the natural development of Zadeh's original proposal for intelligent reasoning about complex systems.

Original languageEnglish
Title of host publicationIEEE International Conference on Fuzzy Systems
Subtitle of host publicationProceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 3 (of 3); New Orleans, LA, USA; ; 8 September 1996 through 11 September 1996
Pages1257-1262
Number of pages6
Volume2
Publication statusPublished - 1994
Event3rd IEEE Conference on Fuzzy Systems - Orlando, FL, United States
Duration: 26 Jun 199429 Jun 1994

Conference

Conference3rd IEEE Conference on Fuzzy Systems
CountryUnited States
CityOrlando, FL
Period26/06/9429/06/94

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  • Cite this

    Leitch, R. R., & Shen, Q. (1994). Qualitativeness does not imply fuzziness. In IEEE International Conference on Fuzzy Systems: Proceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 3 (of 3); New Orleans, LA, USA; ; 8 September 1996 through 11 September 1996 (Vol. 2, pp. 1257-1262)