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Abstract

As the routine operations of many technical systems become increasingly automated, the roles of the human operators in these systems are becoming more and more oriented towards problem solving. The human operator is required to engage in problem solving when the automation encounters a situation for which it was not designed or, when the automation fails due to hardware and/or software problems.

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References

  1. J. Rasmussen and W. B. Rouse, eds., “Human Detection and Diagnosis of System Failures,” Plenum Press, New York (1981).

    Google Scholar 

  2. W. B. Rouse, “Systems Engineering Models of Human-Machine Interaction,” North-Holland, New York (1980).

    MATH  Google Scholar 

  3. L. A. Zadeh, Outline of a New Approach to the Analysis of Complex Systems and Decision Processes, IEEE Transactions on Systems, Man, and Cybernetics, vol. SMC-3, no. 1, pp. 2844 (1973).

    MathSciNet  Google Scholar 

  4. W. J. M. Kickert and H. R. van Nauta Lemke, Application of a Fuzzy Controller in a Warm Water Plant, Automatica, vol. 12, pp. 301–308 (1976).

    Article  Google Scholar 

  5. P. J. King and E. H. Mamdani, The Application of Fuzzy Control Systems to Industrial Processes, Automatica, vol. 13, pp. 235–242 (1977).

    Article  Google Scholar 

  6. D. Willaeys and N. Malvache, Contribution of the Fuzzy Sets Theory to Man-Machine System, in: “Advances in Fuzzy Set Theory and Applications,” M. M. Gupta, R. K. Ragade, and R. R. Yager, eds., pp. 481–499, North-Holland, New York (1979).

    Google Scholar 

  7. J. Van Amerongen, H. R. van Nauta Lemke, and J. C. T. van der Veen, An Autopilot for Ships Designed with Fuzzy Sets, in: “Digital Computer Applications to Process Control,” H. R. van Nauta Lemke and H. B. Verbruggen, eds., North-Holland, New York (1977).

    Google Scholar 

  8. U. Kramer and G. Rohr, Psycho-Mathematical Model of Vehicular Guidance Based on Fuzzy Automata Theory, Proceedings of the First Annual European Conference on Decision Making and Manual Control, Delft, The Netherlands, May (1981).

    Google Scholar 

  9. A. O. Esogbue and R. C. Elder, Fuzzy Sets and the Modeling of Physician Decision Processes, Part I: The Initial Interview Information Gathering Session, Fuzzy Sets and Systems, vol. 2, pp. 279–291 (1979).

    Article  MATH  Google Scholar 

  10. A. O. Esogbue and R. C. Elder, Fuzzy Sets and the Modeling of Physician Decision Processes, Part II: Fuzzy Diagnosis Decision Models, Fuzzy Sets and Systems, vol. 3, pp. 1–9 (1980).

    Article  MATH  Google Scholar 

  11. W. B. Rouse, A Model of Human Decision Making in a Fault Diagnosis Task, IEEE Transactions on Systems, Man, and Cybernetics, vol. SMC-8, no. 5, pp. 357–361 (1978).

    Article  Google Scholar 

  12. W. B. Rouse, A Model of Human Decision Making in Fault Diagnosis Tasks that Include Feedback and Redundancy, IEEE Transactions on Systems, Man, and Cybernetics, vol. SMC-9, no. 4, pp. 237–241 (1979).

    Google Scholar 

  13. W. B. Rouse, S. H. Rouse and S. J. Pellegrino, A Rule-Based Model of human Problem Solving Performance in Fault Diagnosis Tasks, IEEE Transactions on Systems, Man, and Cybernetics, vol. SMC-10, no. 7, pp. 366–376 (1980).

    Article  Google Scholar 

  14. R. M. Hunt, Human Pattern Recognition and Information Seeking in Fault Diagnosis Tasks, Ph.D. Thesis, University of Illinois at Urbana-Champaign (1981).

    Google Scholar 

  15. W. B. Rouse and R. M. Hunt, A Fuzzy Rule-Based Model of Human Problem Solving in Fault Diagnosis Tasks, Proceedings of the Eighth Triennial World Congress of the International Federation of Automatic Control, Kyoto, Japan, August (1981).

    Google Scholar 

  16. R. M. Hunt, A New Approach to Heuristic Model Creation, Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, December (1980).

    Google Scholar 

  17. M. Kochen, Application of Fuzzy Sets in Psychology, in: Fuzzy Sets and Their Applications to Cognitive and Decision Processes, L. A. Zadeh, K. S. Fu, K. Tanaka, and M. Shimura, eds., Academic Press, New York (1975).

    Google Scholar 

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© 1983 Plenum Press, New York

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Rouse, W.B. (1983). Fuzzy Models of Human Problem Solving. In: Wang, P.P. (eds) Advances in Fuzzy Sets, Possibility Theory, and Applications. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-3754-6_23

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  • DOI: https://doi.org/10.1007/978-1-4613-3754-6_23

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-3756-0

  • Online ISBN: 978-1-4613-3754-6

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