This paper investigates the Sugeno’s and Yasukawa’s qualitative fuzzy modelling approach. We propose some easily implementable solution for the unclear details of the original paper as well as suggest a possible way of further rule base reduction which can be applied successfully in certain cases. These details are crucial concerning the method’s performance.

This paper presents a uni ed methodology for reasoning in classi cation systems. The methodology is based on a two-stage structure that incorporates both neural and Bayesian formulations in the rst stage and a rule-based system created by extracting rules from both the classi ers in the second stage. The rule-based system provides a measure of the cause-e ect relationship between the inputs and...

The support of manufacturing machines with IT solutions becomes state-of-the art in the production process. For this reason the European Chinese research project KoBaS (Knowledge Based Customized Services for Traditional Manufacturing Sectors Provided by a Network of High Tech SMEs) aims to create customized services for manufacturing machines providing a set of tools including advanced task an...

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