A fuzzy linear programming model for multiattribute group decision making: An application to knowledge management

Albayrak Y. E.

JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING, cilt.14, ss.339-353, 2008 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 14
  • Basım Tarihi: 2008
  • Dergi Adı: JOURNAL OF MULTIPLE-VALUED LOGIC AND SOFT COMPUTING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.339-353
  • Galatasaray Üniversitesi Adresli: Evet

Özet

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.