Name
Abstract | ||
|---|---|---|
The aim of this commentary is to discuss the contribution of soft computing—a consortium of fuzzy logic, neural network theory, evolutionary computing, and probabilistic reasoning—to the development of case-based reasoning (CBR) systems. We will describe how soft computing has been used in case representation, retrieval, adaptation, reuse, and case-base maintenance, and then present a brief summary of six CBR applications that use soft computing techniques. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1017/S0269888906000579 | Knowledge Eng. Review |
Keywords | Field | DocType |
case base reasoning | Evolutionary algorithm,Computer science,Fuzzy logic,Evolutionary computation,Fuzzy set,Artificial intelligence,Probabilistic logic,Soft computing,Case-based reasoning,Artificial neural network,Machine learning | Journal |
Volume | Issue | ISSN |
20 | 3 | 0269-8889 |
Citations | PageRank | References |
6 | 0.48 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| William Cheetham | 1 | 76 | 7.23 |
| Simon Shiu | 2 | 6 | 0.48 |
| Rosina Weber | 3 | 334 | 34.42 |