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Fuzzy multicriteria analysis for selecting information systems projects

conference contribution
posted on 06.12.2017, 00:00 by Hepu Deng, Santoso Wibowo
This paper presents a fuzzy multicriteria analysis (MA) approach for effectively solving the information systems (IS) project selection problem. To adequately handle the multi-dimensional nature of the selection process, the MA methodology is applied. To effectively model the inherent subjectiveness and imprecision, linguistic variables approximated by fuzzy numbers are used. To greatly reduce the cognitive demanding on the decision maker (DM), the pairwise comparison technique is adopted. To avoid the complicated and unreliable process of comparing and ranking fuzzy utilities, the concept of the degree of dominance between alternatives is introduced for calculating an overall performance index for every alternative IS project across all criteria. An example is presented for demonstrating the applicability of the proposed approach for effectively addressing the IS project selection problem.

History

Parent Title

Proceedings : The Sixth International Conference on Fuzzy Systems and Knowledge Discovery.

Start Page

242

End Page

246

Number of Pages

5

Start Date

01/01/2009

ISBN-13

9780769537351

Location

Tianjin, China.

Publisher

IEEE Society

Place of Publication

Piscataway, NJ

Peer Reviewed

Yes

Open Access

No

Era Eligible

Yes

Name of Conference

International Conference on Fuzzy Systems and Knowledge Discovery

Exports