Developing an Integrated Ahp and Intuitionistic Fuzzytopsis Methodology

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2014

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Univ Osijek, Tech Fac

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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 research gives an overview of the Analytic Hierarchy Process (AHP) and Intuitionistic FuzzyTOPSIS (IFT) methods. This study 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, it is used to determine the weights of the criteria. Later, IFT is used to obtain full-ranking among alternatives based on opinion of the Decision Makers (DMs). The present model provides an accurate and easy classification in supplier attributes by those that have been prioritized in the hybrid model. A numerical example is given to clarify the main developed result in this paper.

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Erdebilli, Babek/0000-0001-8860-3903
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Erdebilli, Babek ORCID logo

Keywords

Analytic Hierarchy Process (AHP), Intuitionistic FuzzyTOPSIS (IFT), Supply Chain Management (SCM), supplier selection

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WoS Q

Q4

Scopus Q

Q3

Source

Tehnicki Vjesnik

Volume

21

Issue

6

Start Page

1313

End Page

1319

URI

https://hdl.handle.net/20.500.14411/9065

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