This paper presents a theoretical study of a formal technique for representing and manipulating partially true vague knowledge in computer. Our approach to the representation and manipulation of such truth-qualified vague knowledge is based on the theory of possibility due to Zadeh. We have introduc
Reasoning with vague default
โ Scribed by Swapan Raha; Kumar S. Ray
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 849 KB
- Volume
- 91
- Category
- Article
- ISSN
- 0165-0114
No coin nor oath required. For personal study only.
โฆ Synopsis
Motivated by the recognized inadequacy of conventional techniques for the representation and manipulation of defaults which allow vague concepts as well, in this paper we present a theoretical study of an approach to default reasoning with vague default based on fuzzy logic. Zadeh's theory of possibility is used as a framework for modelling default rule incorporated with vagueness. In our approach we have attempted to represent a vague default value as a vague statement augmented with partial truth. Such a logical proposition may hold true to some degree. The truth values are qualitative and are possibly infinite in number. For reasoning with vague default we have considered a similarity based approach. A new concept of similarity index has been developed. Simple, yet concrete, examples have been considered to illustrate the proposed model.
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