EMPLOYING AN INTERVAL TYPE-2 FUZZY TOPSIS METHOD FOR KNOWLEDGE MANAGEMENT TOOL EVALUATION
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, (Full Text)
- 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.