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Hybrid Genetic-Fuzzy System Modeling Application in Innovation Management

  • Kemal Kilic
  • Jorge Casillas
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 171)

Abstract

In this research a three staged hybrid genetic-fuzzy systems modeling methodology is developed and applied to an empirical data set in order to determine the hidden fuzzy if-then rules. The empirical data was collected in an earlier study in order to establish the relations among human capital, organizational support and innovativeness. The results demonstrate that the model based on the fuzzy if-then rules outperforms more traditional techniques. Furthermore, the proposed methodology is a valuable tool for successful knowledge management.

Keywords

Knowledge Management Innovation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Kemal Kilic
    • 1
  • Jorge Casillas
    • 2
  1. 1.FENSSabanci UniversityTuzlaTurkey
  2. 2.Dept. Computer Science and Artificial Intelligence, Research Center on Information and Communication Technologies (CITIC-UGR)University of GranadaGranadaSpain

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