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Author: Babak Daneshvar Rouyendegh

Affiliation: Atılım University, Turkey

Keyword(s): Supply Chain Management (SCM), Analytic Hierarchy Process (AHP), Intuitionistic Fuzzy Topsis (IFT), Supplier Selection.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Fuzzy Systems ; Industrial Applications of AI ; Soft Computing

Abstract: This paper gives an overview of the Analytic Hierarchy Process (AHP) and Intuitionistic Fuzzy TOPSIS (IFT) methods. This study deals an evaluation methodology based on the AHP-IFT where the uncertainty is handeled with linguistic values. First, the supplier selection problem is formulated by AHP is used to determine weights of the criteria. In the second stage, IFT 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 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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Paper citation in several formats:
Daneshvar Rouyendegh, B. (2013). A Hybrid Intuitionistic MCDM Model for Supplier Selection. In Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-8565-39-6; ISSN 2184-433X, SciTePress, pages 519-522. DOI: 10.5220/0004257405190522

@conference{icaart13,
author={Babak {Daneshvar Rouyendegh}.},
title={A Hybrid Intuitionistic MCDM Model for Supplier Selection},
booktitle={Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2013},
pages={519-522},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004257405190522},
isbn={978-989-8565-39-6},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - A Hybrid Intuitionistic MCDM Model for Supplier Selection
SN - 978-989-8565-39-6
IS - 2184-433X
AU - Daneshvar Rouyendegh, B.
PY - 2013
SP - 519
EP - 522
DO - 10.5220/0004257405190522
PB - SciTePress