Intelligent Data Analysis Using Multiple Criteria Decision Making

Multiple Criteria Decision Making or multi-attribute (MCDM) problems refer to performing preference decisions (e.g. ranking, ordering, prioritization, selection) over several available alternatives or objects that are characterized by multiple, usually conflicting, attributes or criteria. MCDM techniques have been and are still being encountered in a wide range of human activities, from the professional choices to managerial decisions. The typical examples arise from project management, facility location, capital budgeting, and, last but not least, ranking and evaluating in medical field (medical treatments, risk factors for a disease, diseases, medical units, etc.). The goal of this paper is to present some methods in this area which could be useful for medical applications as well as to describe an evolutionary MCDM model for ranking the risk factors for Bronchial asthma.