An Entropy Decision Model for Selection of Enterprise Resource Planning System

There exist some several method offer similar functions and current technologies are poor to discriminate the important weights of attributes of enterprise resource planning system, due to the complexity of metrics and involvement of consumer’s vague perception. Entropy method is used to determine the weight of evaluation indexes and establish multi-level fuzzy synthetic evaluation model. Its application is illustrated with example, which can provide the intuitive and effective method for decision-makers in enterprise resource planning system selection. In this paper, we introduce a linguistic entropy method and fuzzy synthetic evaluation method. Moreover, a satisfaction-based index of software quality model is established to perform the discrimination of fuzzy ranking of alternatives. Finally, a numerical example is given to demonstrate the process of enterprise resource planning system selection. The experimental results demonstrated that it is a feasible and trustworthy manner to select of the system selection using the proposed scheme. Keywordsfuzzy synthetic evaluation method, Linguistic entropy method, enterprise resource planning