The aim of this article is to present a new approach to machine learning (precisely in classification problems) in which the use of fuzzy logic has been taken into account. We intend to show that fiazzy logic introduces new elements in the identification process, mainly due to the facility to manage
A methodology of design knowledge acquisition for use in learning expert systems
β Scribed by Tomasz Arciszewski; M. Mustafa; Wojciech Ziarko
- Publisher
- Elsevier Science
- Year
- 1987
- Weight
- 576 KB
- Volume
- 27
- Category
- Article
- ISSN
- 0020-7373
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β¦ Synopsis
This paper presents an approach to design conceptual knowledge acquisition. The approach was basically developed for knowledge acquisition in BRZDY1, a learning expert system for conceptual design currently under development. A formal identification of qualitative, conceptual design decisions, based on typology by coverings and the description of design problems by qualitative variables, is discussed. Also, we describe the fundamentals of the method of generating design rules from examples of decisions made by an expert. This method is based on the extended concept of rough set. A comprehensive example of the application of this method to conceptual design of steel members under bending is provided at the end of the paper.
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