Fuzzy logic in a geotechnical knowledge-based system: CONE
作者:
PeterW. Mullarkey,
StevenJ. Fenvesf,
期刊:
Civil Engineering Systems
(Taylor Available online 1986)
卷期:
Volume 3,
issue 2
页码: 58-81
ISSN:0263-0257
年代: 1986
DOI:10.1080/02630258608970429
出版商: Taylor & Francis Group
关键词: fuzzy logic;knowledge-based interpretation system;geotechnical engineering;cone penetrometer;soil classification;shear strength
数据来源: Taylor
摘要:
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.
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