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Authors: Faran Ahmed and Kemal Kilic

Affiliation: Sabanci University, Turkey

ISBN: 978-989-758-187-8

Keyword(s): Fuzzy AHP, Fuzzy Extent Analysis, Eigen Vector Approach.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Databases and Information Systems Integration ; Enterprise Information Systems ; Group Decision Support Systems ; Performance Evaluation and Benchmarking ; Strategic Decision Support Systems

Abstract: Fuzzy set theory has been extensively incorporated in the original Analytical Hierarchical Process (AHP) with an aim to better represent human judgments in comparison matrices. One of the most popular technique in the domain of Fuzzy AHP is Fuzzy Extent Analysis method which utilizes the concept of extent analysis combined with degree of possibility to calculate weights from fuzzy comparison matrices. In original AHP, where the comparison matrices are composed of crisp numbers, Satty proposed that Eigen Vector of these comparison matrices estimate the required weights. In this research we perform a comparison analysis of these two approaches based on a data set of matrices with varying level of inconsistency. Furthermore, for the case of FEA, in addition to degree of possibility, we use centroid defuzzification and defuzzification by using the mid number of triangular fuzzy number to rank the final weights calculated from fuzzy comparison matrices.

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Paper citation in several formats:
Ahmed, F. and Kilic, K. (2016). Comparison of Fuzzy Extent Analysis Technique and its Extensions with Original Eigen Vector Approach.In Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-187-8, pages 174-179. DOI: 10.5220/0005868401740179

@conference{iceis16,
author={Faran Ahmed. and Kemal Kilic.},
title={Comparison of Fuzzy Extent Analysis Technique and its Extensions with Original Eigen Vector Approach},
booktitle={Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2016},
pages={174-179},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005868401740179},
isbn={978-989-758-187-8},
}

TY - CONF

JO - Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Comparison of Fuzzy Extent Analysis Technique and its Extensions with Original Eigen Vector Approach
SN - 978-989-758-187-8
AU - Ahmed, F.
AU - Kilic, K.
PY - 2016
SP - 174
EP - 179
DO - 10.5220/0005868401740179

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