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Fuzzy assessment of machine flexibility

Tsourveloudis Nikolaos, Y. A. Phillis

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URIhttp://purl.tuc.gr/dl/dias/0C7A3E11-3AAD-498E-BB5E-43DA7DF754FF-
Identifierhttps://doi.org/10.1109/17.658664-
Languageen-
Extent10 pagesen
TitleFuzzy assessment of machine flexibilityen
CreatorTsourveloudis Nikolaosen
CreatorΤσουρβελουδης Νικολαοςel
CreatorY. A. Phillisen
PublisherIEEEen
Content SummaryManufacturing flexibility is a difficult and multifaceted concept that because of its inherent complexity and fuzziness is amenable to an artificial intelligence treatment. Fuzzy logic offers a suitable framework for measuring flexibility in its various aspects. This paper deals with the measurement of machine flexibility. When data are precise, this is done via a simple analytical formula. But if such data, and hence knowledge, are not precise, fuzzy-logic modeling should be employed by transforming the human expertise into IF-THEN rules and membership functions. An implementation of the interval-valued fuzzy-set approach, together with a max-min schema, provides the approximate inference mechanism for the computation of machine flexibility. This approach has the advantage of revealing second-order semantic uncertainty with the associated nonspecificity measure. The models are illustrated with a number of examples en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-08-
Date of Publication1998-
SubjectManufacturingen
Bibliographic CitationN. C. Tsourveloudis , Y. A. Phillis, 'Fuzzy Assessment of machine flexibility', IEEE Trans. on Eng. Manag., vol. 45, no. 1, pp. 78-87, 1998.doi : 10.1109/17.658664en

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