This paper presents a fuzzy multicriteria group decision making approach for evaluating and selecting information systems projects. The inherent subjectiveness and imprecision of the evaluation process is modeled by using linguistic terms characterized by triangular fuzzy numbers. A new algorithm based on the concept of the degree of dominance is developed to avoid the complex and unreliable process of comparing fuzzy numbers usually required in fuzzy multicriteria decision making. A multicriteria decision support system is proposed to facilitate the evaluation and selection process. An information systems project selection problem is presented to demonstrate the effectiveness of the approach. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Yeh, C. H., Deng, H., Wibowo, S., & Xu, Y. (2009). Multicriteria group decision support for information systems project selection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5579 LNAI, pp. 152–161). https://doi.org/10.1007/978-3-642-02568-6_16
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