doi: 10.4304/jsw.9.8.2180-2187
Trace-Based Weighting Approach for Multiple Criteria Decision Making
- 1 L3i Laboratory – University of La Rochelle – La Rochelle – France
- 2 University of Lorraine – LORIA, UMR 7503 – Nancy – France
Abstract
Decision-making has evolved as an interesting research problem for decision community. We consider a decision problem that takes into account several criteria called Multiple Criteria Decision Making (MCDM) in an interactive application for adaptive execution. In this paper, we present a method for automatically weighting criteria generation based on users’ traces. In our method, we suggest a process that contains all steps describing alternately what is necessary to prepare in order to weight all criteria. We propose a modified method using Naïve Bayes network to exploit the traces (the past of users), there will be used as information for estimating the score of criteria. Experimental results are presented to illustrate a full process and an automatic generation of weighting criteria by a set of values.
Keywords
- criteria weighting
- interactive adaptive
How to Cite
Hoang Nam Ho, Mourad Rabah, Samuel Nowakowski, and Pascal Estraillier, "Trace-Based Weighting Approach for Multiple Criteria Decision Making," Journal of Software, vol. 9, no. 8, pp. 2180-2187, 2014. https://doi.org/ 10.4304/jsw.9.8.2180-2187
Copyright & License
Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).