This paper discusses an application of fuzzy logic as an organizational framework for a knowledge-based interpretation system in the domain of geotechnical engineering. The specific task involves the interpretation of data from a cone penetrometer (CPT), a field exploration device used in geotechnical engineering to provide soil stratigraphy ~nformation and other characterizations of soil behaviour. In geotechnical engineering, more than in most other fields of civil engineering, it is necessary to reason with incomplete data using empiricallybased methods of analysis. There is a need to quantify the uncertainty that occurs in both the raw data and the analytical methods. There are two distinct sources of uncertainty present: statistical variability in the data and vagueness of methods. The most significant aspect of the use of fuzzy logic in CONE is that a consistent framework was developed to represent both linguistically-based (soil classification) and numerically-based (shear strength) data. This paper discusses the framework that was developed and implemented.The purpose of this paper is to present an application of engineering may be the most appropriate field within civil fuzzy logic as an organizational framework for a engineering for the development of KBS: --knowledge-based interpretation system in the domain of --In foundation and earthwork engineering, more than in geotechnical engineering. Knowledge-based systems any other field in civil engineering, success depends on (KBS) are emerging as a powerful means of dealing with practical -experience. The design of ordinary soilthe ill-structured problems encountered in many supported or soil-supporting structures is necessarily engineering and medical applications'. (It has been stated2 based on simple empirical rules, but these rules can only be that expert systems are problem-solving programs that used by the engineer who has a background of experience.
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