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A group decision making procedure for selecting data warehouse systems

conference contribution
posted on 06.12.2017, 00:00 by Santoso WibowoSantoso Wibowo, Hepu DengHepu Deng, X Zhang
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.

History

Editor

Lei J; Wang F; Deng H; Miao D

Start Page

301

End Page

308

Number of Pages

8

Start Date

01/01/2012

ISBN-13

9783642334771

Location

Chengdu, China

Publisher

Springer

Place of Publication

Heidelberg

Peer Reviewed

No

Open Access

No

Era Eligible

No

Name of Conference

International Conference on Artificial Intelligence and Computational Intelligence