Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Some new similarity based approaches in approximate reasoning and their applications to pattern recognition

  • Swapan Raha (Department of mathematics, Visva-Bharati,) ;
  • Nikhil R. Pal (Machine Intelligence Unit, Indian Statistical Institute) ;
  • Ray, Kumar-Sankar (Electronics & Commn. Sc. Unit, Indian Statistical Institute)
  • Published : 1998.06.01
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Abstract

This paper presents a systematic developement of a formal approach to inference in approximate reasoning. We introduce some measures of similarity and discuss their properties. Using the concept of similarity index we formulate two methods for inferring from vague knowledge. In order to illustrate the effectiveness of the proposed technique we use it to develop a vowel recognition system.

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