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Fuzzy Representation and Synthesis of Concepts in Engineering Design

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Artificial Intelligence: Theories, Models and Applications (SETN 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5138))

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Abstract

In the present paper a new mathematical fuzzy-logic-based formulation of the design objects and the rules that govern a design problem during the conceptual design phase is presented.. A procedure for the automatic generation of degrees of satisfaction of the design specifications for each feasible solution - subjected to design constraints - is introduced. A table containing the satisfaction degrees is used for the derivation of the set of all possible synthesized solutions. The determination of this set, which is a subset of the set of the synthesised solutions, is based on a suitable partition of the Euclidean space. An illustrative example of a knowledge based system for the conceptual design of grippers for handling fabrics is presented. The advantages of this model are revealed via a comparison with previous implementations of the conceptual design phase based on crisp production rules or certainty factors.

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Author information

Authors and Affiliations

  1. Department of Product and System Design Engineering, University of the Aegean, 84100, Ermoupolis, Syros, Greece

    Vassilis C. Moulianitis

  2. Mechanical Engineering and Aeronautics Department, University of Patras, 26500, Patras, Greece

    Vassilis C. Moulianitis, Nikos A. Aspragathos & Argiris J. Dentsoras

Authors
  1. Vassilis C. Moulianitis
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  2. Nikos A. Aspragathos
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  3. Argiris J. Dentsoras
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John Darzentas George A. Vouros Spyros Vosinakis Argyris Arnellos

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© 2008 Springer-Verlag Berlin Heidelberg

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Moulianitis, V.C., Aspragathos, N.A., Dentsoras, A.J. (2008). Fuzzy Representation and Synthesis of Concepts in Engineering Design. In: Darzentas, J., Vouros, G.A., Vosinakis, S., Arnellos, A. (eds) Artificial Intelligence: Theories, Models and Applications. SETN 2008. Lecture Notes in Computer Science(), vol 5138. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87881-0_15

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  • DOI: https://doi.org/10.1007/978-3-540-87881-0_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87880-3

  • Online ISBN: 978-3-540-87881-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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