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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References
Evduomwan, N.F.O., Sivaloganathan, S., Jebb, A.: A survey of design philosophies, models, methods and systems. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, B4 210, 301–320 (1996)
Finger, S., Dixon, J.R.: A Review of Research in Mechanical Engineering Design. Part II: Representations, Analysis, and Design for the Life Cycle. Research in Engineering Design 1, 121–137 (1989)
Finger, S., Dixon, J.R.: A Review of Research in Mechanical Engineering Design. Part I: Descriptive, Prescriptive, and Computer-Based Models of Design Processes. Research in Engineering Design 1, 51–67 (1989)
Saridakis, K.M., Dentsoras, A.J.: Soft computing in engineering design – A review Advanced Engineering Informatics, vol. 22, pp. 202–221 (2008)
Feng, C.X., Li, P.-G., Liang, M.: Fuzzy mapping of requirements onto functions in detail design. Computer-Aided Design 33, 425–437 (2001)
Zimmermann, H.-J.: Fuzzy Set Theory-And Its Applications. Kluwer Academic Publishers, USA (1996)
Temponi, C., Yen, J., Amos Tiao, W.: House of quality: A fuzzy logic-based requirements analysis. European Journal of Operational Research 117, 340–354 (1999)
Lin, C.-T.: A fuzzy logic-based approach for implementing quality function deployment. Smart Engineering System Design 5, 55–65 (2003)
Kim, K.-J., Moskowotz, H., Dhingra, A., Evans, G.: Fuzzy multicriteria models for quality function deployment. European Journal of Operational Research 121, 504–518 (2000)
Yan, W., Chen, C.-H., Khoo, L.-P.: An integrated approach to the elicitation of customer requirements for engineering design using picture sorts and fuzzy evaluation. AIEDAM 16, 59–71 (2002)
Yang, Y.Q., Wang, S.Q., Dulaimi, M., Low, S.P.: A fuzzy quality function deployment system for buildable design decision-making. Automation in Construction 12, 381–383 (2003)
Wood, K.L., Antonsson, E.K.: Computations with Imprecise Parameters in Engineering Design:Background and Theory. Journal of Mechanisms, Transmission and Automation in Design 111, 616–625 (1989)
Vanegas, L.V., Labib, A.W.: Application of new fuzzy-weighted average (NFWA) method to engineering design evaluation. Int. J. Prod. Res. 39, 1147–1162 (2001)
Scott, M.J., Antonsson, E.K.: Aggregation functions for engineering design trade-offs. Fuzzy Sets and Systems 99, 253–264 (1998)
Wang, J.: Ranking engineering design concepts using a fuzzy outranking preference model. Fuzzy sets and systems 119, 161–170 (2001)
Ullman, D.G.: The mechanical design process. McGraw-Hill Inc., New York (1992)
Moulianitis, V.C., Dentsoras, A.J., Aspragathos, N.A.: A knowledge-based system for the conceptual design of grippers for handling fabrics. AIEDAM 13, 13–25 (1999)
Moulianitis, V.C., Dentsoras, A.J., Aspragathos, N.A.: A Search Method in Knowledge-Based Systems using Euclidean Space Norm - An Application to Design of Robot Grippers. In: AIENG 1998, Galway, Ireland, pp. 247–260 (1998)
Moulianitis, V.C., Dentsoras, A.J., Aspragathos, N.A.: A Heuristic Method for Knowledge-Based Conceptual Design of Robot Grippers based on the Euclidean Space Inner Product. In: CACD 1999, Lancaster, UK, pp. 37–48 (1999)
Jamshidi, M., Vadiee, N., Ross, T.J.: Fuzzy Logic and Control (Software and hardware applications). PTR Prentice Hall, USA (1993)
Kreyszig, E.: Introductory functional analysis with applications. John Wiley & Sons, Canada (1989)
Fuzzy Logic ToolboxTM 2 User’s Guide. The MathWorks, Inc. (2008)
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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
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