To obtain the OWA weighting vector via normal distribution function

DOI

10.2991/ssemse-15.2015.377How to use a DOI?

Keywords

OWA operators; normal distribution; weighting vector

Abstract

The OWA operator is an important assessment method in multiple-attribute decision making. A new model based on the density function of normal distribution is given to assign reasonable weights of OWA operators. Using the orness level as a parameter in this method, one can deduce OWA weights by solving a quadratic programing problem. Three propositions of this new model are proven, and a numerical example about the assessment of red wines is given to analyze and illustrate this method.

Copyright

© 2015, 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  - Zhiwei Li
AU  - Xiyang Yang
PY  - 2015/11
DA  - 2015/11
TI  - To obtain the OWA weighting vector via normal distribution function
BT  - Proceedings of the 2015 International Conference on Social Science, Education Management and Sports Education
PB  - Atlantis Press
SP  - 1475
EP  - 1478
SN  - 2352-5398
UR  - https://doi.org/10.2991/ssemse-15.2015.377
DO  - 10.2991/ssemse-15.2015.377
ID  - Li2015/11
ER  -