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AHP and Intuitionistic Fuzzy TOPSIS Methodology for SCM Selection

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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.

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Author information

Authors and Affiliations

  1. Department of Industrial Engineering, Atiliım University, 06836, İncek, Ankara, Turkey

    Babak Daneshvar Rouyendegh

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  1. Babak Daneshvar Rouyendegh
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Correspondence to Babak Daneshvar Rouyendegh .

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Editors and Affiliations

  1. ETSI Industriales de Ciudad Real, University of Castilla-La Mancha, Ciudad Real, Spain

    Fausto Pedro García Márquez

  2. Decision Sciences Department, LeBow College of Business, Drexel University, Philadelphia, Pennsylvania, USA

    Benjamin Lev

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Rouyendegh, B.D. (2015). AHP and Intuitionistic Fuzzy TOPSIS Methodology for SCM Selection. In: García Márquez, F., Lev, B. (eds) Advanced Business Analytics. Springer, Cham. https://doi.org/10.1007/978-3-319-11415-6_9

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