Linear Multicriteria Optimization Interactive Methods Decision Support Systems
Institute of Information Theories and Applications FOI ITHEA
The paper describes a classification-based learning-oriented interactive method for solving linear
multicriteria optimization problems. The method allows the decision makers describe their preferences with
greater flexibility, accuracy and reliability. The method is realized in an experimental software system
supporting the solution of multicriteria optimization problems.