Fzzy process model development with missing data

摘要

The research has developed a fuzzy logic approach to handling missing data. A prototype fuzzy model was developed, using the FuzzyTech software, to assess the quality of the steel production in tems of composition, time, and temperature. As tools like FuzzyTech are not able to handle missing data, the research has introduced a fuzzy logic approach to decision making with less data. A number of workshops were carried out in the plant, and the aired experts's knowledge was the basis for the research's development. This paper will present the state of the art research on the application of artificial intelligenece and statistical techniques for handling the missing data problem.