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
  • Galatasaray University Affiliated: Yes

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.