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An Essay on the Interpretability of Mamdani Systems

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 271))

Abstract

Mamdani Systems are very well known in the area of Fuzzy Control, where they have been, they are, and they will continue to be successfully used. Efforts to linguistically interpret Mamdani Systems as a method for inference in fuzzy logic have faced the difficulty of interpreting the output of such systems before defuzzification, which consists of an aggregation of normally truncated fuzzy sets. The present chapter offers a metasemantic approach to alleviate this problem.

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References

  1. Mamdani, E.H., Assilian, S.: An experiment in linguistic synthesis with a fuzzy logic controller. International Journal of Man-Machine Studies 7, 1–13 (1975)

    Article  MATH  Google Scholar 

  2. Mamdani, E.H.: Advances in the linguistic synthesis of fuzzy controllers. In: Mamdani, E.H., Gaines, B.R. (eds.) Fuzzy Reasoning and its Applications. Academic Press (1981)

    Google Scholar 

  3. Zadeh, L.A.: The concept of linguistic variable and its application to approximate reasoning. Information Sciences 8, 199–249, 301–357, 9, 43–80 (1975)

    Article  MathSciNet  Google Scholar 

  4. Zadeh, L.A.: A fuzzy-set-theoretic interpretation of hedges. Memorandum M-335, Electronics Research Laboratory, University of California, Berkeley (1972)

    Google Scholar 

  5. Novak, V.: A horizon shifting model of linguistic hedges for approximate reasoning. In: Proc. 5th IEEE International Conference on Fuzzy Systems, vol. 1, pp. 423–427. IEEE-CS-Press (1996)

    Google Scholar 

  6. Macvicar-Whelen, P.J.: Fuzzy sets, the concept of height, and the hedge ‘very’. IEEE Trans. on Systems, Man, and Cybernetics, SMC 8, 507–511 (1978)

    Article  Google Scholar 

  7. Trillas, E., Moraga, C., Sobrino, A.: On ‘family resemblances’ with fuzzy sets. In: Proc. International Conference IFSA/Eusflat 2009, vol. 8, pp. 306–311 (2009); ISBN 978–989–95079–6–8

    Google Scholar 

  8. Moraga, C., Trillas, E.: A CWW path from fuzzy logic to natural language. In: Proc. International Conference IFSA/Eusflat 2009, pp. 687–692 (2009); ISBN 978–989–95079–6–8

    Google Scholar 

  9. Moraga, C.: A Metasemantics to refine fuzzy if-then-rules. In: Proc. 34th IEEE Internaional Symposium on Multiple-Valued Logic, pp. 148–153. IEEE-CS-Press (2004)

    Google Scholar 

  10. Eshragh, F., Mamdani, E.H.: A general approach to linguistic approximation. In: Mamdani, E.H., Gaine, B.R. (eds.) Fuzzy Reasoning and its Applications. Academic Press (1981)

    Google Scholar 

  11. Hersh, H.M., Caramazza, A.: Fuzzy set approach to modifiers and vagueness in natural language. Journal of Experimental Psychology: General 105, 254–276 (1976)

    Article  Google Scholar 

  12. Hawking, S. (ed.): God created the integers: The Mathematical Breakthroughs that changed History.Running Pr. Book Pub. (2005); ISBN: 9780762419227

    Google Scholar 

  13. Pappis, C.P., Mamdani, E.H.: A fuzzy logic controller for a traffic junction. Research Report, Dept. Electrical Engineering, Queen Mary College, London (1976)

    Google Scholar 

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Moraga, C. (2012). An Essay on the Interpretability of Mamdani Systems. In: Trillas, E., Bonissone, P., Magdalena, L., Kacprzyk, J. (eds) Combining Experimentation and Theory. Studies in Fuzziness and Soft Computing, vol 271. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24666-1_5

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  • DOI: https://doi.org/10.1007/978-3-642-24666-1_5

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24665-4

  • Online ISBN: 978-3-642-24666-1

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