A group decision making procedure for selecting data warehouse systems

Abstract

Evaluating and selecting the most suitable data warehouse system for development is complex and challenging. To effectively solve this problem, this paper presents a group decision making procedure for evaluating and selecting data warehouse systems. The subjectiveness and imprecision of the decision making process are adequately modeled by the use of interval-valued based intuitionistic fuzzy numbers. The concept of ideal solutions is adopted for determining the overall performance of each alternative data warehouse system across all the selection criteria on which the decision is made. An example is presented for demonstrating the applicability of the proposed procedure for solving real world data warehouse system selection problems. © 2012 Springer-Verlag.