Name
Abstract | ||
|---|---|---|
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. (C) 1997 Elsevier Science B.V. |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1016/S0165-0114(96)00152-2 | Fuzzy Sets and Systems |
Keywords | Field | DocType |
approximate reasoning,default knowledge,fuzzy sets,partial truth,possibility distribution,similarity index | Default logic,Default rule,Proposition,Vagueness,Fuzzy logic,Truth value,Fuzzy set,Default,Artificial intelligence,Mathematics | Journal |
Volume | Issue | ISSN |
91 | 3 | 0165-0114 |
Citations | PageRank | References |
13 | 0.89 | 9 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Swapan Raha | 1 | 45 | 4.12 |
| Kumar S. Ray | 2 | 349 | 49.30 |