Data fusion application from evidential databases as a support for decision making

Abdelkader Temouldi; Salem Chakhar

doi:10.1016/j.infsof.2003.10.005

Data fusion application from evidential databases as a support for decision making

Abdelkader Temouldi
, Salem Chakhar

Research output: Contribution to journal › Article › peer-review

Abstract

We present in this paper, a data fusion [Third International Conference in Information Fusion, Paris, 2000] algorithm from evidential databases [IEEE SMC’02, 2002]. This algorithm has the specificity of using a hybrid operator avoiding the overwhelming trace problem. Besides, it uses a specific scale for computing reliabilities of information's sources. We apply then data fusion to a company in order to improve the decision-making process.

Original language	English
Pages (from-to)	547-555
Number of pages	9
Journal	Information and Software Technology
Volume	46
Issue number	8
DOIs	https://doi.org/10.1016/j.infsof.2003.10.005
Publication status	Published - 15 Jun 2004

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http://www.sciencedirect.com/science/article/pii/S0950584903002143

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title = "Data fusion application from evidential databases as a support for decision making",

abstract = "We present in this paper, a data fusion [Third International Conference in Information Fusion, Paris, 2000] algorithm from evidential databases [IEEE SMC{\textquoteright}02, 2002]. This algorithm has the specificity of using a hybrid operator avoiding the overwhelming trace problem. Besides, it uses a specific scale for computing reliabilities of information's sources. We apply then data fusion to a company in order to improve the decision-making process.",

author = "Abdelkader Temouldi and Salem Chakhar",

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AB - We present in this paper, a data fusion [Third International Conference in Information Fusion, Paris, 2000] algorithm from evidential databases [IEEE SMC’02, 2002]. This algorithm has the specificity of using a hybrid operator avoiding the overwhelming trace problem. Besides, it uses a specific scale for computing reliabilities of information's sources. We apply then data fusion to a company in order to improve the decision-making process.

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JO - Information and Software Technology

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Data fusion application from evidential databases as a support for decision making

Abstract

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