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Trace-Based Weighting Approach for Multiple Criteria Decision Making

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.
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Contributor : Hoang-Nam Ho <>
Submitted on : Tuesday, August 26, 2014 - 11:14:58 AM
Last modification on : Monday, May 4, 2020 - 4:42:03 PM
Document(s) archivé(s) le : Thursday, November 27, 2014 - 3:45:32 PM


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Hoang Nam Ho, Mourad Rabah, Samuel Nowakowski, Pascal Estraillier. Trace-Based Weighting Approach for Multiple Criteria Decision Making. Journal of Software, International Academy Publishing, 2014, 9 (8), pp.2180-2187. ⟨hal-01058156⟩



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