Combining entropy weight and TOPSIS method for information system selection

Jingwen Huang

116 citations0/0 files storedIEEE Conference on Cybernetics and Intelligent Systems

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Multi-Criteria Decision Making Decision Support System Applications Evaluation Methods in Various Fields

Abstract

This study proposes a combined entropy weight and TOPSIS method for information system selection. In the present paper, information entropy is employed to derive the objective weights of the evaluation criteria, and a modified TOPSIS method is employed to rank a finite number of feasible alternatives in order of preference and then select a suitable information system that conforms to the decision maker’s ideal. An empirical study demonstrated the feasibility and practicability of the proposed method for real-world applications. The result shows that the approach is computationally simple and its underlying concept is rational and comprehensible, thus facilitating its implementation in a computer-based system.

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References

1981Multiple Attribute Decision Making: Methods and Applications 2000Inter-company comparison using modified TOPSIS with objective weights 2000Using analytic network process and goal programming for interdependent information system project selection 2004An AHP-based approach to ERP system selection 2001Mission Critical: Realizing the Promise of Enterprise Systems 1998Multiple Criteria Decision Support in Engineering Design 2007An integrated decision making approach for ERP system selection 2007Dynamic multi-attribute decision making model with grey number evaluations

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