Object Networks: A Computational Framework to Compute with Words

  • R. R. Gudwin
  • F. A. C. Gomide
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 33)


In this work, we introduce a framework as a modeling and implementation tool to compute with words. The basis of the framework is a computational model called object networks. We present the mathematical concept of objects, generic objects and fuzzy objects. The interaction of these elements composes object systems. In particular, emphasis is given on a special class of object systems, the object networks. They are proposed here as a dynamic software architecture suitable for handling the issues involved when computing with words, but independent of the specific numerical algorithms used. The object networks architecture is easily translated into computer programs, and support explanatory databases build upon atomic pieces of information and from the query entered, among other important features. It is also shown how object networks manage semantics of linguistic, semiotic terms, to provide higher level linguistic computations. Illustrative examples are also included.


Selection Function Generic Object Active Object Object System Fuzzy Rule Base 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    L.Zadeh, “Fuzzy Logic = Computing with Words” — IEEE Transactions on Fuzzy Systems, pp. 103–111, vol. 4, no. 2, May (1996).Google Scholar
  2. 2.
    C.S. Peirce, Collected Papers of Charles Sanders Peirce - vol I - Principles of Philosophy; vol II - Elements of Logic; vol III - Exact Logic; vol IV - The Simplest Mathematics; vol V - Pragmatism and Pragmaticism; vol. VI - Scientific Metaphysics - edited by Charles Hartshorne and Paul Weiss - Belknap Press of Harvard University Press — (Cambridge, Massachusetts, 2°d printing, 1960 ).Google Scholar
  3. 3.
    R.R.Gudwin and F.A.C.Gomide, Computational Semiotics: An Approach for the Study of Intelligent Systems - Part I: Foundations — (Technical Report RT-DCA 09 — DCA-FEEC-UNICAMP, 1997).Google Scholar
  4. 4.
    R.R.Gudwin and F.A.C.Gomide, Computational Semiotics: An Approach for the Study of Intelligent Systems - Part II: Theory and Application — (Technical Report RT-DCA 09 — DCA-FEEC-UNICAMP, 1997).Google Scholar
  5. 5.
    R.R.Gudwin and F.A.C.Gomide, An Approach to Computational Semiotics — (Proceedings of the ISAS’97 — Intelligent Systems and Semiotics: A Learning Perspective — International Conference — Gaithersburg, MD, USA - 22–25 September, 1997).Google Scholar
  6. 6.
    R.R.Gudwin and F.A.C.Gomide, A Computational Semiotics Approach for Soft Computing — (Proceedings of the IEEE SMC’97 — IEEE International Conference on Systems, Man and Cybernetics - Orlando, FL, USA - 12–15 October, 1997).Google Scholar
  7. 7.
    R.R.Gudwin and F.A.C. Gomide, “Object Network: A Formal Model to Develop Intelligent Systems” in Computational Intelligence and Software Engineering, J.Peters and W. Pedrycz (Eds.) — World Scientific, 1998.Google Scholar
  8. 8.
    A.Snyder, “The Essence of Objects:Concepts and Terms” - IEEE Software, pp. 31–42, Jan. (1993).Google Scholar
  9. 9.
    Y. Wand, “A Proposal for a Formal Model of Objects” - in Object-Oriented Concepts, Databases and Applications, W. Kim and F. Lochovsky, eds., (ACM Press, New York, pp. 537–559, 1989 ).Google Scholar
  10. 10.
    K.Jensen, - “Coloured Petri Nets: A High Level Language for System Design and Analysis” - Lecture Notes in Computer Science 483 - Advances in Petri Nets,pp. 342–416, (1990).Google Scholar
  11. 11.
    T.Murata, - “Petri Nets: Properties, Analysis and Applications” - Proceedings of the IEEE,vol. 77, n. 4, April (1989).Google Scholar
  12. 12.
    J.Zurada, R.J.Marks H, and C.J.Robinson, - Computational Intelligence - Imitating Life — ( IEEE Press, USA, 1994 ).Google Scholar
  13. 13.
    L.Zadeh, — “Soft Computing and Fuzzy Logic”, IEEE Software,vol. 11, n. 6, pp. 48–56, (1994).Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • R. R. Gudwin
    • 1
  • F. A. C. Gomide
    • 1
  1. 1.DCA-FEEC-UNICAMPCampinasBrasil

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