Why triangular membership functions?
Fuzzy Sets and Systems
Inter-company comparison using modified TOPSIS with objective weights
Computers and Operations Research
Project portfolio selection through decision support
Decision Support Systems
A knowledge-based decision support system for the management of parts and tools in FMS
Decision Support Systems
A fuzzy-based decision-making procedure for data warehouse system selection
Expert Systems with Applications: An International Journal
Generalizing TOPSIS for fuzzy multiple-criteria group decision-making
Computers & Mathematics with Applications
Recruitment and selection processes through an effective GDSS
Computers & Mathematics with Applications
A hybrid knowledge-based decision support system for enterprise mergers and acquisitions
Expert Systems with Applications: An International Journal
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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.