A decision making model for multi-attribute problems incorporating uncertainty and bias measures
Computers and Operations Research
Prioritizing software development productivity factors using the analytic hierarchy process
Journal of Systems and Software
A case study in applying a systematic method for COTS selection
Proceedings of the 18th international conference on Software engineering
Inter-company comparison using modified TOPSIS with objective weights
Computers and Operations Research
ICSM '98 Proceedings of the International Conference on Software Maintenance
Fuzzy analytic network process and its application to the development of decision support systems
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Dynamic multi-attribute decision making model with grey number evaluations
Expert Systems with Applications: An International Journal
Development of an expert selection system to choose ideal cities for medical service ventures
Expert Systems with Applications: An International Journal
Weapon selection using the AHP and TOPSIS methods under fuzzy environment
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Evaluating vehicle telematics system by using a novel MCDM techniques with dependence and feedback
Expert Systems with Applications: An International Journal
Effective weighting model based on the maximum deviation with uncertain information
Expert Systems with Applications: An International Journal
Designing a model of FANP in brand image decision-making
Applied Soft Computing
Optimal location selection for an international distribution center by using a new hybrid method
Expert Systems with Applications: An International Journal
Review: A state-of the-art survey of TOPSIS applications
Expert Systems with Applications: An International Journal
Determine the service value position for package tour plan based on a novel MCDM approach
IEA/AIE'12 Proceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence
A hybrid fuzzy group decision support framework for advanced-technology prioritization at NASA
Expert Systems with Applications: An International Journal
Information and Management
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This paper models the COTS evaluation problem as an MCDM problem and proposes a five-phase COTS selection model, combining the technique of ANP (analytic network process) and modified TOPSIS (technique for order performance by similarity to idea solution). This article discusses using the ANP to determine the relative weights of multiple evaluation criteria. The modified TOPSIS approach is used to rank competing products in terms of their overall performance. To illustrate how the approach is used for the COTS evaluation problem, an empirical study of a real case is conducted. The case study demonstrates the effectiveness and feasibility of the proposed evaluation procedure.