Journal
COMPUTERS & INDUSTRIAL ENGINEERING
Volume 105, Issue -, Pages 260-264Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cie.2016.12.041
Keywords
OWA operator weights; Maximum entropy; Bayesian entropy; Lagrange's method
Ask authors/readers for more resources
In this paper the maximum Bayesian entropy model for obtaining the ordered weighted averaging (OWA) operators was analyzed. The model is based on a given prior OWA vector and the obtained weights are called the maximum Bayesian entropy OWA (MBEOWA) weights. An analytic form for the MBEOWA weights was determined by using the Lagrange multipliers method and some properties of this form were investigated. Finally, a general model for determining the OWA weights based on the Bayesian entropy was introduced and discussed which included some other models. The efficiency of the proposed model was demonstrated by some examples. (C) 2017 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available