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Historical reflections and new positions on perceptual computing

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Abstract

This paper traces the historical origins of perceptual computing and credits Tong and Bonissone (IEEE Trans Syst Man Cybern 10:716–723, 1980) as being the first to originate it but under a different name. It also takes the position that interval type-2 fuzzy sets, and not type-1 fuzzy sets, should be used in perceptual computing. Finally, it proposes some testable guidelines for when a solution (e.g., perceptual computing) may be branded computing with words.

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References

  • Buckley J. J., Feuring T. (1999) Computing with words in control. In: Zadeh L. A., Kacprzyk J. (eds) Computing with words in information/intelligent systems 2: applications. Physica-Verlag, Heidelberg, pp 289–304

    Google Scholar 

  • Bustince H. (2000) Indicator of inclusion grade for interval-valued fuzzy sets, application to approximate reasoning based on interval-valued fuzzy sets. International Journal of Approximate Reasoning 23: 137–209

    Article  MATH  MathSciNet  Google Scholar 

  • Herrera F., Herrera-Viedma E. (1997) Aggregation operators for linguistic weighted information. IEEE Transactions on Systems, Man and Cybernetics, Part-A: Systems and Humans 27: 646–656

    Article  Google Scholar 

  • Lawry J. (2001) An alternative to computing with words. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 9: 3–16

    Article  MATH  MathSciNet  Google Scholar 

  • Lawry J., Shanahan J., Ralescu A. (2003) Modeling with words, lecture notes in artificial intelligence. Springer, New York, p 2873

    Google Scholar 

  • Liu, F., & Mendel, J. M. (2007). An interval approach to fuzzistics for interval type-2 fuzzy sets. Proceedings of FUZZ-IEEE (pp. 1030–1035). London, England.

  • Liu F., Mendel J. M. (2008) Encoding words into interval type-2 fuzzy sets using an interval approach. IEEE Transactions on Fuzzy Systems 16(2): 1503–1521

    Article  Google Scholar 

  • Margaliot M., Langholz G. (2004) Fuzzy control of a benchmark problem: A computing with words approach. IEEE Transactions on Fuzzy Systems 12(2): 230–235

    Article  Google Scholar 

  • Mendel, J. M. (1999). Computing with words: When words can mean different things to different people. In Proceedings of 3rd international ICSC symposium on fuzzy logic and applications. Rochester, NY: Rochester University.

  • Mendel, J. M. (2001). The perceptual computer: An architecture for computing with words. In Proceedings of Modeling With Words Workshop in the Proceedings of FUZZ-IEEE (pp. 35–38). Melbourne, Australia.

  • Mendel J. M. (2002) An architecture for making judgments using computing with words. International Journal of Applied mathematics and Computter Science 12(3): 325–335

    MATH  MathSciNet  Google Scholar 

  • Mendel, J. M. (2003). Fuzzy sets for words: A new beginning. In Proceedings of FUZZ-IEEE (pp. 37–42) St. Louis, MO.

  • Mendel J. M. (2007a) Computing with words and its relationships with fuzzistics. Information Sciences 177: 998–1006

    Google Scholar 

  • Mendel J. M. (2007b) Computing with words: Zadeh, Turing, Popper and Occam. IEEE Computational Intelligence Magazine 2(4): 10–17

    Article  MathSciNet  Google Scholar 

  • Mendel J. M., Wu D. (2010) Perceptual computing: Aiding people in making subjective judgments. IEEE Press and John Wiley, New Jersey

    Google Scholar 

  • Popper K. (1959) The logic of scientific discovery (translation of Logik der forschung). Hutchinson, London

    Google Scholar 

  • Rubin S. H. (1999) Computing with words. IEEE Transactions on Systems, Man and Cybernetics, Part B 29(4): 518–524

    Article  Google Scholar 

  • Schmucker K. S. (1984) Fuzzy sets, natural language computations, and risk analysis. Computer Science Press, Rockville, MD

    MATH  Google Scholar 

  • Tong R. M., Bonissone P. P. (1980) A linguistic approach to decision making with fuzzy sets. IEEE Transactions on Systems, Man, Cybernetics 10: 716–723

    Article  MathSciNet  Google Scholar 

  • Turksen I. B. (2002) Type-2 representation and reasoning for CWW. Fuzzy Sets and Systems 127: 17–36

    Article  MathSciNet  Google Scholar 

  • Wang P. P. (2001) Computing with words. John Wiley, New York

    Google Scholar 

  • Wang H., Qiu D. (2003) Computing with words via turing machines: A formal approach. IEEE Transactions on Fuzzy Systems 11(6): 742–753

    Article  MathSciNet  Google Scholar 

  • Wu D., Mendel J. M. (2007) Uncertainty measures for interval type-2 fuzzy sets. Information Sciences 177: 5378–5393

    Article  MATH  MathSciNet  Google Scholar 

  • Yager R. (1999) Aproximate reasoning as a basis for computing with words. In: Zadeh L. A., Kacprzyk J. (eds) Computing with words in information/intelligent systems 2: applications. Physica-Verlag, Heidelberg, pp 50–77

    Google Scholar 

  • Yager R. (2004) On the retranslation process in Zadeh’s paradigm of computing with words. IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics 34: 1184–1195

    Article  Google Scholar 

  • Zadeh L. A. (1975) The concept of a linguistic variable and its application to approximate reasoning−1. Information Sciences 8: 199–249

    Article  MathSciNet  Google Scholar 

  • Zadeh L. A. (1996) Fuzzy logic–computing with words. IEEE Transactions on Fuzzy Systems 4: 103–111

    Article  Google Scholar 

  • Zadeh L. A. (1999) From computing with numbers to computing with words—from manipulation of measurements to manipulation of perceptions. IEEE Transactions on Circuits and Systems–I: Fundamental Theory and Applications 4: 105–119

    Article  MathSciNet  Google Scholar 

  • Zadeh L. A., Kacprzyk J., (eds) (1999) Computing with words in information/intelligent systems 1 & 2. Physica-Verlag, New York

    Google Scholar 

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Authors and Affiliations

  1. Ming Hsieh Department of Electrical Engineering, University of Southern California, 3740 McClintock Ave., Los Angeles, CA, 90089-2564, USA

    Jerry M. Mendel

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  1. Jerry M. Mendel
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Correspondence to Jerry M. Mendel.

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Mendel, J.M. Historical reflections and new positions on perceptual computing. Fuzzy Optim Decis Making 8, 325–335 (2009). https://doi.org/10.1007/s10700-009-9070-5

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