InforLorV4, Hal, Corpus, bibRecord, 000831

A process for Trace-Based Criteria Weighting in Multiple Criteria Decision Making

Identifieur interne : 000831 ( Hal/Corpus ); précédent : 000830; suivant : 000832

A process for Trace-Based Criteria Weighting in Multiple Criteria Decision Making

Auteurs : Hoang Nam Ho ; Mourad Rabah ; Pascal Estraillier ; Samuel Nowakowski

Source :

RBID : Hal:hal-00941228

English descriptors

mix :
- Multiple Criteria Decision Making, Naïve Bayes, criteria weighting, interactive adaptive system, traces.

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.

Url:

https://hal.archives-ouvertes.fr/hal-00941228

Links to Exploration step

Hal:hal-00941228

Le document en format XML

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<front><div type="abstract" xml:lang="en">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.</div>
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<abstract xml:lang="en">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.</abstract>
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A process for Trace-Based Criteria Weighting in Multiple Criteria Decision Making

A process for Trace-Based Criteria Weighting in Multiple Criteria Decision Making

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