A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Fuzzy logic in a geotechnical knowledge-based system: CONE
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.
Fuzzy logic in a geotechnical knowledge-based system: CONE
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.
Fuzzy logic in a geotechnical knowledge-based system: CONE
Mullarkey, Peter W. (author) / Fenvesf, Steven J. (author)
Civil Engineering and Environmental Systems ; 3 ; 58-81
1986-06-01
24 pages
Article (Journal)
Electronic Resource
English
Fuzzy logic methodology in safety analysis of geotechnical structures
| British Library Conference Proceedings | 1997
Cone penetration testing in geotechnical practice
| Catalogue agriculture | 1997
Cone penetration testing in geotechnical practice
| TIBKAT | 1997
Fuzzy logic concepts in limit states analysis of geotechnical structures
| British Library Conference Proceedings | 1998
Cone-penetration testing in geotechnical practice
Online Contents | 2009