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A New Fuzzy Multi-criteria Decision Making Approach: Extended Hierarchical Fuzzy Axiomatic Design Approach with Risk Factors

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Decision Support Systems III - Impact of Decision Support Systems for Global Environments (EWG-DSS 2013, EWG-DSS 2013)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 184))

Abstract

In recent years, Axiomatic Design (AD) has been widely used as a multi criteria decision making approach. AD approach compares the design objects and system capabilities in a framework and then selects the best alternative based on these comparisons. Some researchers then include fuzziness in the AD approach which helps to evaluate alternatives in fuzzy environments. The main advantage of fuzzy AD approach is the ability to evaluate both crisp and fuzzy values at the same time during decision process. However, these approaches are not appropriate for hierarchical decision problems. Therefore, these are extended to solve the hierarchical decision problems and Hierarchical Fuzzy Axiomatic Design Approach (HFAD) is presented. In this study, HFAD is extended to include risk factors for the first time in literature and a new approach called RFAD is proposed. Moreover, the application of the new approach is shown on a real world supplier selection problem and the results are compared to the other widely used decision making approaches in literature.

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Acknowledgments

This study was supported by Pamukkale University under the Project no 1719.

Author information

Authors and Affiliations

  1. Department of Industrial Engineering, Pamukkale University, Kinikli Campus, Kinikli, 20070, Denizli, Turkey

    Hacer Güner Gören & Osman Kulak

Authors
  1. Hacer Güner Gören
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  2. Osman Kulak
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Corresponding author

Correspondence to Hacer Güner Gören .

Editor information

Editors and Affiliations

  1. SimTech Simulation Technology, Graz, Austria

    Fátima Dargam

  2. Universidad de La Frontera, University of Liverpool Management School, Liverpool, UK, Temuco, Chile

    Jorge E. Hernández

  3. Toulouse University, Toulouse, France

    Pascale Zaraté

  4. University of Plymouth, Plymouth, United Kingdom

    Shaofeng Liu

  5. UNINOVA – CA3, Lisbon, Portugal

    Rita Ribeiro

  6. University of Belgrade, Belgrade, Serbia

    Boris Delibašić

  7. University of Macedonia, Thessaloniki, Greece

    Jason Papathanasiou

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Gören, H.G., Kulak, O. (2014). A New Fuzzy Multi-criteria Decision Making Approach: Extended Hierarchical Fuzzy Axiomatic Design Approach with Risk Factors. In: Dargam, F., et al. Decision Support Systems III - Impact of Decision Support Systems for Global Environments. EWG-DSS EWG-DSS 2013 2013. Lecture Notes in Business Information Processing, vol 184. Springer, Cham. https://doi.org/10.1007/978-3-319-11364-7_13

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  • DOI: https://doi.org/10.1007/978-3-319-11364-7_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11363-0

  • Online ISBN: 978-3-319-11364-7

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