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An Insight Into The Z-number Approach To CWW

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The Z-number is a new fuzzy-theoretic concept, proposed by Zadeh in 2011. It extends the basic philosophy of Computing With Words (CWW) to include the perception of uncertainty of the information conveyed by a natural language statement. The Z-number thus, serves as a model of linguistic summarization of natural language statements, a technique to merge human-affective perspectives with CWW, and consequently can be envisaged to play a radical role in the domain of CWW-based system design and Natural Language Processing (NLP). This article presents a comprehensive investigation of the Z-number approach to CWW. We present here: a) an outline of our understanding of the generic architecture, algorithm and challenges underlying CWW in general; b) a detailed study of the Z-number methodology - where we propose an algorithm for CWW using Z-numbers, define a Z-number based operator for the evaluation of the level of requirement satisfaction, and describe simulation experiments of CWW utilizing Z-numbers; and c) analyse the strengths and the challenges of the Z-numbers, and suggest possible solution strategies. We believe that this article would inspire research on the need for inclusion of human-behavioural aspects into CWW, as well as the integration of CWW and NLP.
Wydawca
Rocznik
Strony
197--229
Opis fizyczny
Bibliogr. 29 poz.
Twórcy
autor
  • Machine Intelligence Unit, Indian Statistical Institute, Kolkata 700 108, India
autor
  • Center for Soft Computing Research, Indian Statistical Institute, Kolkata 700 108, India
autor
  • INSEAD, Blvd de Constance, Fontainebleau 77305, France
autor
  • Department of Computer Sc. and Engineering, University of Calcutta, Kolkata 700 009, India
Bibliografia
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  • [2] Wolfram Mathworld, http://mathworld.wolfram.com.
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  • [5] Fellbaum, C., Ed.: WordNet: An Electronic Lexical Database, MIT Press, Cambridge, M.A., 1998.
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  • [7] Kacprzyk, J., Zadrozny, S.: Computing with words is an implementable paradigm: Fuzzy queries, linguistic data summaries and natural language generation, IEEE Trans. Fuzzy Systs, 18, 2010,461-472.
  • [8] Khorasani, E. S., Patel, P., Rahimi, S., Houle, D.: CWJess: Implementation of an Expert System Shell for Computing with Words, Proc. Federated Conference on Computer Science and Information Systems, 2011, 33-39.
  • [9] Khorasani, E. S., Patel, P., Rahimi, S., Houle, D.: An inference engine toolkit for computing with words, Journal of Ambient Intelligence and Humanized Computing, 2012.
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  • [19] Turing, A. M.: Computing machinery and intelligence, Mind, 49, 1950, 433-460.
  • [20] Vander-Heide, A., Trivino, G.: Simulating emotional personality in human computer interface, Proc. IEEE International Conference on Fuzzy Systems, Barcelona, Spain, IEEE Press, N.J., 2010, 1-7.
  • [21] Zadeh, L. A.: Outline of a new approach to the analysis of complex systems and decision processes, IEEE Trans. Systs. Man Cyberns, 3(1), 1973, 28-44.
  • [22] Zadeh, L. A.: Test-score semantics for natural language and meaning representation via PRUF, in: Empirical Semantics (B. Reiger, Ed.), Dr. Broackmeyer University Press, Germany, 1982, 281-349.
  • [23] Zadeh, L. A.: Precisiated Natural Language (PNL), AIMagazine, 25(3), 1994, 74-91.
  • [24] Zadeh, L. A.: Fuzzy logic - Computing with words, IEEE Trans. Fuzzy Systs, 4(2), 1996, 103-111.
  • [25] Zadeh, L. A.: Intelligent systems revolution: Is it real?, http://www-bisc.cs.berkeley.edu/zadeh/papers, 1998.
  • [26] Zadeh, L. A.: From computing with numbers to computing with words - From manipulation of measurements to manipulation of perceptions, IEEE Trans. Circuits Systs, 45(1), 1999, 105-119.
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  • [29] Zadeh, L. A.: A note on Z-numbers, Information Sciences, 181, 2011, 2923-2932.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a110a5cd-5cb0-4375-bc88-41895bcaac11
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