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Fuzzy Set in Default Reasoning

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Book cover Advances in Soft Computing — AFSS 2002 (AFSS 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2275))

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Abstract

The purpose of this report is to draw attention to the use of fuzzy sets in default reasoning. An attempt has been made to represent and manipulate default consequences which are frequently encountered in reasoning about incompletely specified worlds, based on the theory of approximate reasoning. Here, the uncertainty associated with a typical individual sanctioned by default is represented by means of a composite vague certainty quali.ed statement. The vague certainty value assigned to a statement is based on only the consistency of the consequence of a default rule. Inferences are drawn using similarity based approximate reasoning.

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Author information

Authors and Affiliations

  1. Dept. of Mathematics, Visva-Bharati, 731235, Santiniketan, India

    Swapan Raha & Sanaul Hossain

Authors
  1. Swapan Raha
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  2. Sanaul Hossain
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Editor information

Editors and Affiliations

  1. Electronics and Communication Sciences Unit, Indian Statistical Institute, 203 B.T. Road, 700108, Calcutta, India

    Nikhil R. Pal

  2. Brain Science Institute, RIKEN, 2-1 Hirosawa, Wako, Japan

    Michio Sugeno

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© 2002 Springer-Verlag Berlin Heidelberg

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Raha, S., Hossain, S. (2002). Fuzzy Set in Default Reasoning. In: Pal, N.R., Sugeno, M. (eds) Advances in Soft Computing — AFSS 2002. AFSS 2002. Lecture Notes in Computer Science(), vol 2275. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45631-7_4

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  • DOI: https://doi.org/10.1007/3-540-45631-7_4

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43150-3

  • Online ISBN: 978-3-540-45631-5

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