URI | http://purl.tuc.gr/dl/dias/0C7A3E11-3AAD-498E-BB5E-43DA7DF754FF | - |
Identifier | https://doi.org/10.1109/17.658664 | - |
Language | en | - |
Extent | 10 pages | en |
Title | Fuzzy assessment of machine flexibility | en |
Creator | Tsourveloudis Nikolaos | en |
Creator | Τσουρβελουδης Νικολαος | el |
Creator | Y. A. Phillis | en |
Publisher | IEEE | en |
Content Summary | Manufacturing 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 Item | Peer-Reviewed Journal Publication | en |
Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
License | http://creativecommons.org/licenses/by/4.0/ | en |
Date of Item | 2015-10-08 | - |
Date of Publication | 1998 | - |
Subject | Manufacturing | en |
Bibliographic Citation | N. C. Tsourveloudis , Y. A. Phillis, 'Fuzzy Assessment of machine flexibility', IEEE Trans. on Eng. Manag., vol. 45, no. 1, pp. 78-87, 1998.doi : 10.1109/17.658664 | en |