AN ANP & FUZZY INTEGRAL HYBRID MODEL FOR MULTI-CRITERIA GROUP DECISION MAKING: AN APPLICATION TO KNOWLEDGE MANAGEMENT


GÜRBÜZ T. , ALBAYRAK Y. E.

9th International FLINS Conference on Computational Intelligence: Foundations and Applications, Emei, PEOPLES R CHINA, 2 - 04 Ağustos 2010, cilt.4, ss.471-477 identifier identifier

  • Cilt numarası: 4
  • Doi Numarası: 10.1142/9789814324700_0070
  • Basıldığı Şehir: Emei
  • Basıldığı Ülke: PEOPLES R CHINA
  • Sayfa Sayıları: ss.471-477

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 hybrid technique for multi-criteria decision making (MCDM) problems with preference information on alternatives. To reflect the decision maker's (DM) subjective preference information and to determine the weight vector of attributes, the Analytic Network Process (ANP) and Choquet Integral (CI) are used. This paper offers a methodology for handling different types of relations that may exist between criteria of a model simultaneously and an 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 DMs' preferences. Finally, the developed model is applied to a real case of assisting DMs in a leading logistics company in Turkey.