Rough set formalization of an inference process in a DOE supporting expert system

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Rough set formalization of an inference process in a DOE supporting expert system

Jacek Pietraszek

Mechanical Engineering Department, Cracow University of Technology,,Al. Jana Pawła II 37, 31-864 Kraków, Poland.

DOI:

https://doi.org/10.7494/cmms.2009.2.0250

Abstract:

The purpose of the paper was an inference process’s formalization – in terms of a rough sets theory – of an existing DOE (design of experiment) supporting expert system DAX. This was the first step in extending the system from determined decision tree and rules-based into fuzzy-logic based inference and considering uncertainty in other approaches than only probabilistic. The paper is primarily addressed to the developers and users of expert systems. The second addressees are statisticians preparing experimental designs.

Cite as:

Pietraszek, J., (2009). Rough set formalization of an inference process in a DOE supporting expert system. Computer Methods in Materials Science, 9(2), 328 – 334. https://doi.org/10.7494/cmms.2009.2.0250

Article (PDF):

Keywords:

Design of experiment, Experimental design, Artificial intelligence, Rough set theory, Expert system, Modelling

References:

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