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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-
Αναγνωριστικόhttps://doi.org/10.1109/17.658664-
Γλώσσαen-
Μέγεθος10 pagesen
ΤίτλοςFuzzy assessment of machine flexibilityen
ΔημιουργόςTsourveloudis Nikolaosen
ΔημιουργόςΤσουρβελουδης Νικολαοςel
ΔημιουργόςY. A. Phillisen
ΕκδότηςIEEEen
ΠερίληψηManufacturing 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
ΤύποςPeer-Reviewed Journal Publicationen
ΤύποςΔημοσίευση σε Περιοδικό με Κριτέςel
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-10-08-
Ημερομηνία Δημοσίευσης1998-
Θεματική ΚατηγορίαManufacturingen
Βιβλιογραφική ΑναφοράN. 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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