A Fuzzy Linear Programming Model for Multiattribute Group Decision Making: An Application to Knowledge Management
Yildiz Esra Albayrak
The aim of this paper is to develop a framework to aid in the evaluation and selection of Knowledge Management (KM) tools and technologies. In this paper, we propose a fuzzy linear programming technique (FLP) for multiple attribute group decision making (MAGDM) problems with preference information on alternatives. To reflect the decision maker’s subjective preference information and to determine the weight vector of
attributes, the linear programming technique for multidimensional analysis of preference (LINMAP) based on group consistency and inconsistency indices is used. This paper offers a methodology for analyzing individual and multidimensional preferences with linear programming technique under fuzzy environments and a systemic approach is proposed to evaluate an appropriate KM tool for the organization. In the proposed model both qualitative and quantitative criteria are evaluated according to the decision makers’ preferences. Finally, the developed model is applied to a real case of assisting decision-makers in a leading logistics company in Turkey.
Keywords: Fuzzy decision making, Fuzzy numbers, FLP, LINMAP, Knowledge management tools, MCDM, Linguistic variable.