Beyond traditional applications of fuzzy techniques: Main idea and case studies

© 2018, Springer International Publishing AG, part of Springer Nature. Fuzzy logic techniques were originally designed to translate expert knowledge—which is often formulated by using imprecise (“fuzzy”) from natural language (like “small”)—into precise computer-understandable models and control str...

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Main Authors: Vladik Kreinovich, Olga Kosheleva, Thongchai Dumrongpokaphan
Format: Book Series
Published: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/58579
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-585792018-09-05T04:33:30Z Beyond traditional applications of fuzzy techniques: Main idea and case studies Vladik Kreinovich Olga Kosheleva Thongchai Dumrongpokaphan Computer Science Mathematics © 2018, Springer International Publishing AG, part of Springer Nature. Fuzzy logic techniques were originally designed to translate expert knowledge—which is often formulated by using imprecise (“fuzzy”) from natural language (like “small”)—into precise computer-understandable models and control strategies. Such a translation is still the main use of fuzzy techniques. Lately, it turned out that fuzzy methods can help in another class of applied problems: namely, in situations when there are semi-heuristic techniques for solving the corresponding problems, i.e., techniques for which there is no convincing theoretical justification. Because of the lack of a theoretical justification, users are reluctant to use these techniques, since their previous empirical success does not guarantee that these techniques will work well on new problems. In this paper, we show that in many such situations, the desired theoretical justification can be obtained if, in addition to known (crisp) requirements on the desired solution, we also take into account requirements formulated by experts in natural-language terms. Naturally, we use fuzzy techniques to translate these imprecise requirements into precise terms. 2018-09-05T04:26:26Z 2018-09-05T04:26:26Z 2018-01-01 Book Series 14349922 2-s2.0-85047779896 10.1007/978-3-319-75408-6_36 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85047779896&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/58579
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Computer Science
Mathematics
spellingShingle Computer Science
Mathematics
Vladik Kreinovich
Olga Kosheleva
Thongchai Dumrongpokaphan
Beyond traditional applications of fuzzy techniques: Main idea and case studies
description © 2018, Springer International Publishing AG, part of Springer Nature. Fuzzy logic techniques were originally designed to translate expert knowledge—which is often formulated by using imprecise (“fuzzy”) from natural language (like “small”)—into precise computer-understandable models and control strategies. Such a translation is still the main use of fuzzy techniques. Lately, it turned out that fuzzy methods can help in another class of applied problems: namely, in situations when there are semi-heuristic techniques for solving the corresponding problems, i.e., techniques for which there is no convincing theoretical justification. Because of the lack of a theoretical justification, users are reluctant to use these techniques, since their previous empirical success does not guarantee that these techniques will work well on new problems. In this paper, we show that in many such situations, the desired theoretical justification can be obtained if, in addition to known (crisp) requirements on the desired solution, we also take into account requirements formulated by experts in natural-language terms. Naturally, we use fuzzy techniques to translate these imprecise requirements into precise terms.
format Book Series
author Vladik Kreinovich
Olga Kosheleva
Thongchai Dumrongpokaphan
author_facet Vladik Kreinovich
Olga Kosheleva
Thongchai Dumrongpokaphan
author_sort Vladik Kreinovich
title Beyond traditional applications of fuzzy techniques: Main idea and case studies
title_short Beyond traditional applications of fuzzy techniques: Main idea and case studies
title_full Beyond traditional applications of fuzzy techniques: Main idea and case studies
title_fullStr Beyond traditional applications of fuzzy techniques: Main idea and case studies
title_full_unstemmed Beyond traditional applications of fuzzy techniques: Main idea and case studies
title_sort beyond traditional applications of fuzzy techniques: main idea and case studies
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85047779896&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/58579
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