Trace-Based Weighting Approach for Multiple Criteria Decision Making
| Autor: | Pascal Estraillier, Mourad Rabah, Samuel Nowakowski, Hoang Nam Ho |
|---|---|
| Přispěvatelé: | Laboratoire Informatique, Image et Interaction - EA 2118 (L3I), Université de La Rochelle (ULR), Knowledge Information and Web Intelligence (KIWI), Department of Complex Systems, Artificial Intelligence & Robotics (LORIA - AIS), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), La Rochelle Université (ULR) |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Computer science
0211 other engineering and technologies 02 engineering and technology computer.software_genre Machine learning [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] Set (abstract data type) Naive Bayes classifier Naive Bayes Artificial Intelligence 0202 electrical engineering electronic engineering information engineering TRACE (psycholinguistics) 021103 operations research business.industry Process (computing) traces Decision problem Multiple-criteria decision analysis criteria weighting Weighting Human-Computer Interaction Multiple Criteria Decision Making Multiple criteria interactive adaptive system 020201 artificial intelligence & image processing Artificial intelligence Data mining business computer Software |
| Zdroj: | Journal of Software Journal of Software, International Academy Publishing, 2014, 9 (8), pp.2180-2187 Journal of Software, 2014, 9 (8), pp.2180-2187 |
| ISSN: | 1796-217X |
| Popis: | International audience; 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. |
| Databáze: | OpenAIRE |
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