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Content Provider | IEEE Xplore Digital Library |
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Author | Hepu Deng Wibowo, S. |
Copyright Year | 2009 |
Abstract | This paper presents a fuzzy multicriteria analysis approach for effectively solving the information systems project selection problem. To adequately handle the multi-dimensional nature of the selection process, the multicriteria analysis 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, 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. |
Starting Page | 242 |
Ending Page | 246 |
File Size | 365047 |
Page Count | 5 |
File Format | |
ISBN | 9780769537351 |
DOI | 10.1109/FSKD.2009.377 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2009-08-14 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Humans Decision Analysis Information technology Fuzzy Numbers Information analysis Information systems Utility theory Multicriteria Analysis Delta modulation Communications technology Performance analysis Australia Information Systems Project Selection Fuzzy systems |
Content Type | Text |
Resource Type | Article |
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