Journal of Japan Society for Fuzzy Theory and Systems
Online ISSN : 2432-9932
Print ISSN : 0915-647X
ISSN-L : 0915-647X
Identification of Membership Functions Based on Fuzzy Observation Data
Futoshi TAMAKIAkihiro KANAGAWAHiroshi OHTA
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1993 Volume 5 Issue 2 Pages 308-317

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Abstract
Statistical data including personal subjectivity or vagueness can be regarded as fuzzy observations. The treatment for the fuzzy observations was developed by Okuda, et al. In this fuzzy observation model, concerning the identification of membership functions, it is impossible to apply the conventional subjective methods because the membership functions must be restricted so that the frequencies of fuzzy data accord with the population distribution. In this paper, a method of identifying the membership functions based on fuzzy observation data is presented.
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© 1993 Japan Society for Fuzzy Theory and Intelligent Informatics
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