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Vendor Selection in IT Using Integrated MCDM and Intuitionistic Fuzzy

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Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation (INFUS 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 308))

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Abstract

In today’s world, products are getting more complex due to raising complexity of the real-life problems. Therefore, while creating a product or service, organizations should work together to combine different technologies. Also, working with best supplier for an organization is significant to make products or services more flexible, competitive, and profitable. In this study, suppliers are evaluated based on quality, cost, maintenance, and flexibility criteria with twelve sub-criteria under them. A hybrid method with VIKOR and Intuitionistic Fuzzy in MCDM problems is represented and the methodology is used for the choosing supplier for a product that is used in IT projects. Decision making matrix is observed with intuitionistic fuzzy due to uncertain data, and the problem is solved by VIKOR to find best alternative for group utility. In case study is performed to exposed efficiency of the hybrid model.

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Author information

Authors and Affiliations

  1. Ankara Yıldırım Beyazıt University, Ankara, Turkey

    Babak Daneshvar Rouyendegh & Aylin Tan

  2. Sultan Qaboos University, Muscat, Oman

    Babak Daneshvar Rouyendegh

Authors
  1. Babak Daneshvar Rouyendegh
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  2. Aylin Tan
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Corresponding author

Correspondence to Aylin Tan .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Cengiz Kahraman

  2. Industrial Engineering Department, Yildiz Technical University, Istanbul, Turkey

    Selcuk Cebi

  3. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Sezi Cevik Onar

  4. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Basar Oztaysi

  5. Industrial Engineering Department, Galatasaray University, Istanbul, Turkey

    A. Cagri Tolga

  6. Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey

    Irem Ucal Sari

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Daneshvar Rouyendegh, B., Tan, A. (2022). Vendor Selection in IT Using Integrated MCDM and Intuitionistic Fuzzy. In: Kahraman, C., Cebi, S., Cevik Onar, S., Oztaysi, B., Tolga, A.C., Sari, I.U. (eds) Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation. INFUS 2021. Lecture Notes in Networks and Systems, vol 308. Springer, Cham. https://doi.org/10.1007/978-3-030-85577-2_9

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