An Insight Into The Z-number Approach To CWW

  • Authors:

  • Sankar K. Pal;Romi Banerjee;Soumitra Dutta;Samar Sen Sarma

  • Affiliations:

  • Machine Intelligence Unit, Indian Statistical Institute, Kolkata 700 108, India. sankar@isical.ac.in;Center for Soft Computing Research, Indian Statistical Institute, Kolkata 700 108, India. Banerjee@isical.ac.in;INSEAD, Blvd de Constance, Fontainebleau 77305, France;Department of Computer Sc. and Engineering, University of Calcutta, Kolkata 700 009, India

  • Venue:
  • Fundamenta Informaticae - Cognitive Informatics and Computational Intelligence: Theory and Applications
  • Year:
  • 2013

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Abstract

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.