EMPLOYING AN INTERVAL TYPE-2 FUZZY TOPSIS METHOD FOR KNOWLEDGE MANAGEMENT TOOL EVALUATION


BÜYÜKÖZKAN FEYZİOĞLU G. , PARLAK İ. B. , TOLGA A. Ç.

11th International Conference on Fuzzy Logic and Intelligent Technologies in Nuclear Science (FLINS), Joao Pessoa, Brazil, 17 - 20 August 2014, vol.9, pp.55-61 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 9
  • City: Joao Pessoa
  • Country: Brazil
  • Page Numbers: pp.55-61

Abstract

In the knowledge economy, a key source of sustainable competitive advantage relies on the way to create, share, and utilize knowledge. This paper presents an application of the interval type-2 TOPSIS method used to select the most appropriate tool to support knowledge management (KM) activities in a healthcare system. The method provides us with a useful way to handle fuzzy multiple attributes group decision-making problems in a more flexible and more intelligent manner to analyze and compare KM tools in the software market. A case study is given to demonstrate the potential of the methodology.