The use of fuzzy information retrieval techniques in construction of multi-centre knowledge-based systems

  • Ladislav J. Kohout
  • Wyllis Bandler
Section III Applications
Part of the Lecture Notes in Computer Science book series (LNCS, volume 286)


The paper outlines the role of Information Retrieval techniques in the construction of Knowledge-Based Systems. A Functional Communication Structure selects and communicates the relevant information by means of fuzzy logical and fuzzy relational requests between the individual knowledge acceptors and knowledge donors. The theory of fuzzy relational products developed by Bandler and Kohout qualifies as an especially adequate tool to handle fuzziness of selection as well as fuzziness of information contents.


Information Retrieval Relational Product Knowledge Source Fuzzy Relation Knowledge User 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

5. References

  1. [0]
    Kerchsberg, L. (ed.) Expert Database Systems, Benjamin/Cumming, Menlo Park, Calif., 1986.Google Scholar
  2. [1]
    Kohout, L.J., Bandler, W., Anderson, J. and Trayner, C. Knowledge-based decision support system for use in medicine. In: Mitra, G. (ed.), Computer Models for Decision Making, North-Holland, Amsterdam, 1985, pp. 133–146.Google Scholar
  3. [2]
    Kohout, L.J., Keravnou, E., Bandler, W. Automatic documentary information retrieval by means of fuzzy relational products. In: Zimmermann, H.-J., Zadeh, L.A. and Gaines, B.R. (eds.) Fuzzy sets and Decision Analysis, North-Holland, Amsterdam, 1984, pp.382–404.Google Scholar
  4. [3]
    Bandler, W. and Kohout, L.J. Mathematical Relations. In: Singh M.G. et al. (eds.) International Encyclopedia of Systems and Control, Pergamon Press, Oxford and New York, 1987.Google Scholar
  5. [4]
    Kohout, L.J. and Mohamad, S.M.A. Activity structures: A general-systems-based information processing machine design framework. November 1985.Google Scholar
  6. [5]
    Mohamad, S.M.A. Construction of a Support Tool for the Design of Activity Structures Based Architectures. Ph.D. Thesis, Dept. of Computer Science, Brunel University, 1986.Google Scholar
  7. [6]
    Kohout, L.J. Perspectives on Intelligent Systems: A Framework for Analysis and Design, Abacus Press, Tunbridge Wells, England, U.K.Google Scholar
  8. [7]
    Kohout, L.J., Anderson, J., Bandler, W., Behrooz, A. Formalization of clinical management activities for a knowledge-based clinical system. In: Proceedings AAMSI Congress 1986, Levy, A.H. and Williams, B.T. (eds.) American Association for Medical Systems and Informatics, Washington, D.C., pp. 348–352.Google Scholar
  9. [8]
    Bandler, W. Representation and manipulation of knowledge in fuzzy expert systems. Internat. J. Systems Research and Information Sciences, vol. 1, (1985), pp. 397–422.Google Scholar
  10. [9]
    Kohout, L. J. Control of movement and protection structures. Int. Journal of Man-Machine Studies, vol. 14 (1981), pp. 397–422.Google Scholar
  11. [10]
    Kohout, L.J. Representation of functional hierarchies of movement in the brain, Int. J. Man-Machine Studies, vol. 8 (1976), pp. 699–709.Google Scholar
  12. [11]
    Kohout, L.J. Methodological Foundation of the Study of Action, Ph.D. Thesis, Man-Machine Systems Laboratory, Dept. of Electrical Engineering Science, University of Essex, January 1978.Google Scholar
  13. [12]
    Bandler, W. and Kohout, L.J. Semantics of implication operators and fuzzy relational products. Int. J. Man-Machine Studies, vol. 12, (1980), pp. 89–116. Reprinted in: E.H. Mamdani, B.R. Gaines (eds.) Fuzzy Reasoning and its Applications, Academic Press, London, 1981, pp.219–246.Google Scholar
  14. [13]
    Kohout, L.J., Bandler, W. eds. Knowledge Representation in Medicine and Clinical Behavioural Sciences. (Pt. 3: Relational Products for Modelling and Analysis). Abacus Press, Tunbridge Wells, England and Cambridge Mass. U.S.A.Google Scholar
  15. [14]
    Bandler, W. and Kohout, L.J., The interrelations of principal fuzzy logical operators. In: Gupta, M., Kandel, A. Bandler, W. and Kiszka, J.B. (eds.) Approximate Reasoning in Expert Systems, North-Holland, Amsterdam, 1985, pp. 767–780.Google Scholar
  16. [15]
    Kohout, L.J., Keravnou, E. and Bandler, W. Information retrieval system using fuzzy relational products for thesaurus construction. Proc. of the IFAC Symposium on Fuzzy Information, Knowledge Representation and Decision Analysis, (Marseille, France, 19–21 July 1983), Pergamon Press, Oxford.Google Scholar
  17. [16]
    Bandler, W. and Kohout, L.J. Mathematical Relations, their Products and Generalized Morphisms. Technical Report, Man-Machine Systems Laboratory, EES-MMS-REL 77-3. Department of Electrical Engineering, University of Essex, December 1977. Partially reprinted in Int. J. General Systems, vol. 13, (1986), pp. 47–66.Google Scholar
  18. [17]
    Bandler, W. and Kohout, L.J. A survey of fuzzy relational products, In [13], pp. 107–118.Google Scholar
  19. [18]
    Kohout, L.J. Theories of possibility: Meta-axiomatics and semantics. An invited paper for the special issue "On fuzzy membership function" of Fuzzy Sets and Systems, 1987, in press.Google Scholar
  20. [19]
    Gao, S., Kohout, L.J., Anderson, J., Bandler, W. Questioning strategy in fuzzy knowledge-based systems. International Symposium on Fuzzy Systems and Knowledge Engineering, Guangzhou & Guiang, China, July, 1987. To appear in the proceedings of thereof.Google Scholar
  21. [20]
    Kohout, L.J., Anderson, J., Bandler, W. (eds.), Multi-environmental and Multi-context Knowledge Based Systems. Unicom Seminars & Technical Press (Grower), Aldershot, England 1987, in press.Google Scholar
  22. [21]
    Kallala, M. and Kohout, L.J. Optimal choice of fuzzy logics by means of measure analysis. In [20].Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1987

Authors and Affiliations

  • Ladislav J. Kohout
    • 1
  • Wyllis Bandler
    • 2
  1. 1.Department of Computer ScienceBrunel University of West LondonUxbridgeEngland, UK
  2. 2.Institute for Expert Systems and RoboticsDepartment of Computer Science Florida State UniversityTallahasseeUSA

Personalised recommendations