A Dynamic Fuzzy Multi-criteria Group Decision Support System for Manager Selection

In any organization, because of the importance of management responsibility and its effect on efficiency improvement, the selection of the appropriate person as a manager is one of the important decision making subjects. This paper proposes a new fuzzy multiple attribute-based decision support system (DSS) for choosing suitable managers as such a selection may involve both quantitative and qualitative assessment attributes. There are many fuzzy ranking methods available to solve multi-attribute decision making (MADM) problems. Some are more suitable than other for particular decision problems. The proposed DSS has ability to choose the most appropriate fuzzy ranking method for solving given MADM problem, based on the type of attributes and the size of the problem, considering the least computation and time consumption for ranking alternatives. A DSS software prototype has been developed on the basis of the proposed DSS which can be applied for solving every FMADM problem which needs to rank some alternatives according to some attributes.