Name
Abstract | ||
|---|---|---|
Expert consultant systems can be viewed as a new medium of communication between experts and users, similar in some respects to the telephone and in other respects to the printed page. Fuzzy linguistic variables and approximate reasoning offer a way to increase the expressive power of this communications medium. Recent advances in the application of these techniques allow the use of features such as goal-directed processing, mixed-initiative dialog, sophisticated user and expert interfaces, and efficient knowledge representation that have formerly been associated only with nonfuzzy expert systems. |
Year | DOI | Venue |
|---|---|---|
1988 | 10.1016/S0888-613X(00)00045-1 | Int. J. Approx. Reasoning |
Keywords | Field | DocType |
backward chaining,knowledge representation,user interface,goal-directed,askability,mixed-initiative,consultant system,goal-directed dialog,fuzzy knowledge,knowledge base | Dialog box,Knowledge representation and reasoning,Computer science,Fuzzy logic,Expert system,Backward chaining,Approximate reasoning,Artificial intelligence,User interface,Expressive power,Machine learning | Journal |
Volume | Issue | ISSN |
2 | 1 | International Journal of Approximate Reasoning |
Citations | PageRank | References |
3 | 0.40 | 3 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Whalen | 1 | 115 | 32.39 |