A4 Conference proceedings

Bonferroni mean based similarity based TOPSIS


LUT Authors / Editors

Publication Details
Authors: Luukka Pasi, Collan Mikael
Publication year: 2016
Language: English
Related Journal or Series Information: IEEE International Conference on Fuzzy Systems
Title of parent publication: Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
Start page: 704
End page: 709
ISBN: 978-1-5090-0627-4
eISBN: 978-1-5090-0626-7
JUFO-Level of this publication: 1
Open Access: Not an Open Access publication

Abstract
In this paper we introduce a generalization of the similarity based TOPSIS by using the Bonferroni mean. By generalizing similarity computation between an alternative and the ideal solution we also create an effect, where the ranking of alternatives can change depending on parameter value selection. For this purpose we apply the histogram ranking method to take into consideration the variability of rankings for a more robust holistic ranking of the alternatives. The proposed method is applied to a patent portfolio selection problem.

Last updated on 2018-19-10 at 08:49