Evaluation of the Ordered Weighted Averaging Method

DOI

10.2991/msbda-19.2019.27How to use a DOI?

Keywords

Ordered weighted averaging operator, analytic hierarchical process, fuzzy linguistic quantifiers, minimal variability, Decision-making

Abstract

This paper discusses and evaluates the ordered weighted averaging (OWA) approach. OWA is one of the decision-making methods. The order weights of OWA are key factors that make the decision for the given slections. There are several approaches to determine the order weights such as the minimal variability mean and the fuzzy linguistic quantifier method. This short paper proposes to use an analytic hierarchical process (AHP) to solve the same decision-making issue as OWA analyzed. A water resources management problem is selected as testing example. The simulation results shown that the proposed AHP based approach can obtain the best results.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jizhong Zhu
AU  - Min Fei
PY  - 2019/08
DA  - 2019/08
TI  - Evaluation of the Ordered Weighted Averaging Method
BT  - Proceedings of the 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019)
PB  - Atlantis Press
SP  - 171
EP  - 174
SN  - 2352-538X
UR  - https://doi.org/10.2991/msbda-19.2019.27
DO  - 10.2991/msbda-19.2019.27
ID  - Zhu2019/08
ER  -