Developing an Integrated ANP and Intuitionistic Fuzzy TOPSIS Model for Supplier Selection

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Date

2015

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Amer Soc Testing Materials

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Computer Engineering
(1998)
The Atılım University Department of Computer Engineering was founded in 1998. The department curriculum is prepared in a way that meets the demands for knowledge and skills after graduation, and is subject to periodical reviews and updates in line with international standards. Our Department offers education in many fields of expertise, such as software development, hardware systems, data structures, computer networks, artificial intelligence, machine learning, image processing, natural language processing, object based design, information security, and cloud computing. The education offered by our department is based on practical approaches, with modern laboratories, projects and internship programs. The undergraduate program at our department was accredited in 2014 by the Association of Evaluation and Accreditation of Engineering Programs (MÜDEK) and was granted the label EUR-ACE, valid through Europe. In addition to the undergraduate program, our department offers thesis or non-thesis graduate degree programs (MS).

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Abstract

This paper provides an overview of the Analytic Network Process (ANP) and Intuitionistic Fuzzy TOPSIS (IFT) methods for the Multi-Criteria Decision-Making (MCDM) problem under uncertain environments. The study employs an evaluation methodology based on the ANP-IFT where uncertainty and subjectivity are handled with linguistic values. First, the supplier selection problem is formulated using ANP and then used to determine the weights of the criteria by considering the effects of interference and the relationship among the selection criteria. Later, IFT is used to obtain full-ranking of the alternatives based on the opinion of the decision-makers (DMs). The present model provides an accurate and easy classification of supplier attributes using a hybrid model. A numerical example is given to clarify the main results developed in this paper.

Description

Erdebilli, Babek/0000-0001-8860-3903

Keywords

supply chain management, analytic network process, intuitionistic fuzzy TOPSIS, supplier selection

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23

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Q3

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Volume

43

Issue

3

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URI

https://doi.org/10.1520/JTE20130114
 https://hdl.handle.net/20.500.14411/840

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