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A new trend for knowledge-based decision support systems design

Zaraté, Pascale and Liu, Shaofeng A new trend for knowledge-based decision support systems design. (2016) International Journal of Information and Decision Sciences, 8 (3). 305-324. ISSN 1756-7017

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Official URL: http://dx.doi.org/10.1504/IJIDS.2016.078586

Abstract

Knowledge-based decision support systems (KBDSS) have evolved greatly over the last few decades. The key technologies underpinning the development of KBDSS can be classified into three categories: technologies for knowledge modelling and representation, technologies for reasoning and inference and web-based technologies. In the meantime, service systems have emerged and become increasingly important to value adding activities in the current knowledge economy. This paper provides a review on the recent advances in the three types of technologies, as well as the main application domains of KBDSS as service systems. Based on the examination of literature, future research directions are recommended for the development of KBDSS in general and in particular to support decision-making in service industry.

Item Type:Article
Additional Information:Thanks to Inderscience editor. The definitive version is available at http://www.inderscience.com The original PDF can be found at International Journal of Information and Decision Sciences (ISSN 1756-7017) website : http://www.inderscience.com/offer.php?id=78586
HAL Id:hal-01484954
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Plymouth University (UNITED KINGDOM)
Laboratory name:
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Deposited By: IRIT IRIT
Deposited On:08 Feb 2017 16:31

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