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Modelling knowledge related to the allocation of modular jigs for part fixturing using fuzzy reasoning

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Abstract

One the problems a workholder designer faces in attempting to gain knowledge about the modelling of the “wear” in a positioning system by means of allocating positioning devices to each “virtual”locating point is that this knowledge is often verbalized by experts in an imprecise and uncertain way. Knowledge comes from technological know-how, and is developed through experience, personal habits and production-specific requirements. Nevertheless, current modelling of “expert knowledge” does not allow us to represent the different semantics (such as imprecision and uncertainty) that are related to it. In this paper, we present a method based on fuzzy reasoning that is able to support the modelling of these different knowledge semantics .

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References

  1. Fouet JM (1997) Connaissances et savoir faire en enterprise. Hermès, Paris

  2. Haton JP (1991) Le raisonnement en intelligence artificielle. InterEditions, Paris

  3. Zadeh A (1965) Fuzzy sets. Inf Cont 8:338–353

    Article  MATH  MathSciNet  Google Scholar 

  4. Dubois D, Prade H (1996) What are fuzzy rules and how to use them. Fuzzy Sets Syst 84:169–185

    Article  MATH  Google Scholar 

  5. CadX1. CEGOS-KADETECH, 17 Chemin du petit bois, 69130 Ecully, France

  6. Derras C, Lombard M, Martin P (1997) Contribution of Fuzzy Logic to modeling Expertise in Intelligent Manufacturing Process Planning Systems. In: 4th IFAC Workshop on Intelligent Manufacturing Systems, IMS’97, Engineering Research Center for Advanced Control and Instrumentation, Séoul National University, Séoul (Corée), 21–23 September 1997, pp 379–384

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Authors and Affiliations

  1. Laboratoire de Génie Industriel et Production Mécanique (LGIPM), (Production Engineering and Mechanical Production Laboratory), ENSAM Metz, 4 rue Augustin Fresnel, 57078, Metz cedex, France

    Patrick Martin

  2. Faculté des Sciences BP 239, Centre de Recherche en Automatique de Nancy (CNRS ESA 7039), 54506, Vandoeuvre les Nancy cedex, France

    Muriel Lombard

Authors
  1. Patrick Martin
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  2. Muriel Lombard
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Correspondence to Patrick Martin.

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Martin, P., Lombard, M. Modelling knowledge related to the allocation of modular jigs for part fixturing using fuzzy reasoning. Int J Adv Manuf Technol 28, 527–531 (2006). https://doi.org/10.1007/s00170-004-2394-y

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  • DOI: https://doi.org/10.1007/s00170-004-2394-y

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