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AHP and Intuitionistic Fuzzy TOPSIS Methodology for SCM Selection

In: Advanced Business Analytics

Author

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  • Babak Daneshvar Rouyendegh

    (Atiliım University)

Abstract

This research gives an overview of the Analytic Hierarchy Process (AHP) and Intuitionistic Fuzzy TOPSIS (IFT) methods. It deals with an evaluation methodology based on the AHP-IFT where the uncertainties are handled with linguistic values. First, the supplier selection problem is formulated using AHP and, then, is used to determine the weights of the criteria. Later, IFT is used to obtain full-ranking among the alternatives based on the opinion of the Decision Makers (DMs). The present model provides an accurate and easy classification in supplier attributes by chains prioritized in the hybrid model. A numerical example is given to clarify the main developed result in this paper.

Suggested Citation

  • Babak Daneshvar Rouyendegh, 2015. "AHP and Intuitionistic Fuzzy TOPSIS Methodology for SCM Selection," Springer Books, in: Fausto Pedro García Márquez & Benjamin Lev (ed.), Advanced Business Analytics, edition 127, pages 181-194, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-11415-6_9
    DOI: 10.1007/978-3-319-11415-6_9
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    Cited by:

    1. Jingxiao Zhang & Klaus Schmidt & Hui Li, 2016. "BIM and Sustainability Education: Incorporating Instructional Needs into Curriculum Planning in CEM Programs Accredited by ACCE," Sustainability, MDPI, vol. 8(6), pages 1-32, May.

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