Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/55975
Title: Bayesian approach to intelligent control and its relation to fuzzy control
Authors: Kongliang Zhu
Olga Kosheleva
Vladik Kreinovich
Keywords: Mathematics
Issue Date: 1-Jan-2016
Abstract: © 2016 by the Mathematical Association of Thailand. All rights reserved. In many application areas including economics, experts describe their knowledge by using imprecise (“fuzzy”) words from natural language. To design an automatic control system, it is therefore necessary to translate this knowledge into precise computer-understandable terms. To perform such a translation, a special semi-heuristic fuzzy methodology was designed. This methodology has been successfully applied to many practical problem, but its semi-heuristic character is a big obstacle to its use: without a theoretical justification, we are never 100% sure that this methodology will be successful in other applications as well. It is therefore desirable to come up with either a theoretical justification of exactly this methodology, or with a theoretically justified modification of this methodology. In this paper, we apply the Bayesian techniques to the above translation problem, and we analyze when the resulting methodology is identical to fuzzy techniques – and when it is different.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85008336796&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/55975
ISSN: 16860209
Appears in Collections:CMUL: Journal Articles

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