Decision-making Software Architecture; the Visualization and Data Mining Assisted Approach

Abstract

Multiple Criteria Decision Making (MCDM) is considered as a combined task of optimization and decision-making. Yet in solving real-life MCDM problems often most attention is paid to finding the complete Pareto-optimal set of the associated multiobjective optimization (MOO) problem and less to decision-making. In this paper, along with the presentation of two case studies, an interactive procedure has been suggested which involves the decision-maker (DM) in the optimization process helping to choose a single solution at the end. Our proposed method on the basis of reactive search optimization (RSO) algorithm and its novel software architecture packages of LION solver and Grapheur are capable of handling the big data often associated with MCDM problems. The two considered case studies are; firstly, a series of MCDM problems in construction workers’ management and secondly, the well-known MOO and decision-making problem of welded beam design.