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| Titel: |
Fuzzy logic in a geotechnical knowledge-based system: CONE |
| Auteur: |
Mullarkey, Peter W. Fenvesf, Steven J. |
| Verschenen in: |
Civil engineering & environmental systems |
| Paginering: | Jaargang 3 (1986) nr. 2 pagina's 58-81 |
| Jaar: |
1986-06-01 |
| Inhoud: |
The purpose of this paper is to present an application of fuzzy logic as an organizational framework for a knowledge-based interpretation system in the domain of geotechnical engineering. Knowledge-based systems (KBS) are emerging as a powerful means of dealing with the ill-structured problems encountered in many engineering and medical applications1. (It has been stated2 that expert systems are problem-solving programs that solve substantial problems generally conceded as being difficult and requiring expertise. They are called knowledge-based because their performance depends critically on the use of facts and heuristics (or rules of thumb) used by experts). In a KBS, the knowledge or rules of judgement pertaining to the domain are encoded in the system in an explicit manner; these rules can be examined and modified, if necessary. This is in contrast to the way traditional algorithmic programs are structured. The motivation for this project was two-fold: generally, to demonstrate that knowledge-based techniques are powerful problem-solving tools that can be applied to task areas within geotechnical engineering; and specifically, to develop a KBS to interpret geotechnical characterization data from cone penetrometers. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 94 van 151 gevonden artikelen
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