An Integrated Intuitionistic Fuzzy AHP and TOPSIS Approach to Evaluation of Outsource Manufacturers

Cengiz Kahraman*, Başar Öztayşi, Sezi Çevik Onar

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

56 Citations (Scopus)

Abstract

Outsourcing is the action of contracting a specific task, function, or process to an external company instead of using an organisation's resources. The history of outsourcing goes back to the 1980s when it was used for cost reduction in non-core business operations. Over time, outsourcing has moved to more strategic areas and has become an important factor in business performance. The selection of the best alternative among alternative outsource manufacturers is a multi-criteria decision-making problem. In this study, the fuzzy set theory is used to capture the uncertainty embedded into the decision problem. In this paper, an interval-valued intuitionistic fuzzy Analytic Hierarchy Process and Technique for Order of Preference by Similarity to Ideal Solution-based methodology is proposed, and an application is provided for the evaluation of outsource manufacturers.

Original languageEnglish
Pages (from-to)283-297
Number of pages15
JournalJournal of Intelligent Systems
Volume29
Issue number1
DOIs
Publication statusPublished - 1 Jan 2020

Bibliographical note

Publisher Copyright:
© 2020 Walter de Gruyter GmbH, Berlin/Boston 2020.

Keywords

  • Outsourcing
  • TOPSIS
  • interval-valued intuitionistic fuzzy sets
  • multi-criteria decision-making
  • outsource manufacturer

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