Abstract
The paper deals in the conceptual way with the problem of extracting fuzzy classification rules from the three-way data meant in the sense of Sato and Sato (7). A novel technique based on a heuristic method of possibilistic clustering is proposed. A description of basic concepts of a heuristic method of possibilistic clustering based on concept of an allotment is provided. A prepro- cessing technique for three-way data is shown. An ex- tended method of constructing fuzzy classification rules based on clustering results is proposed. An illustrative ex- ample of the method's application to the Sato and Sato's data (7) is provided. An analysis of the experimental re- sults obtained with some conclusions are given.
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