Experiments with Classification of MMPI Profiles Using Fuzzy Decision Trees

The paper is devoted to classification of MMPI (Minnesota Multiphasic Personality Inventory) profiles using fuzzy decision trees generated by means of the algorithm that uses cumulative information estimations of the initial data proposed by V. Levashenko et al. All of the stages of the classification process (i.e., fuzzification of the input data, generation of the classifier, testing the classifier) are presented and the results are discussed. A special attention is focused on determination of the center points on the MMPI scales for the fuzzification process.