Knowledge Based Expert System In Machining

Muhammad Nazri, Sayuti (2007) Knowledge Based Expert System In Machining. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

This research discuss about knowledge based expert system in machining using one type of Artificial Intelligence namely fuzzy logic. Fuzzy logic is a powerful problem-solving methodology with a myriad of applications in embedded control and information processing. Fuzzy provides a remarkably simple way to draw definite conclusions from vague, ambiguous or imprecise information. In a sense, fuzzy logic resembles human decision making with its ability to work from approximate data and find precise solutions. Fuzzy logic also has two types. First is Mamdani and the second is Sugeno. Fuzzy logics wide range has led into venture of many fields. E.g. prediction, optimization, forecasting, monitoring, control, approximation, evaluation, assessment, parameter selection and etc. This research carried out is basically to investigate the prediction machining process. So that a set of experimental parameters could be developed within the range of experimental value.

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