Title: A new trend for knowledge-based decision support systems design

Authors: Pascale Zaraté; Shaofeng Liu

Addresses: Toulouse 1 Capitole University, IRIT, 2 rue du Doyen Gabriel Marty 31042, Toulouse Cedex 9, France ' Mast House, Graduate School of Management, University of Plymouth, Plymouth, Devon, PL4 8AA, UK

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.

Keywords: decision support systems; knowledge-based DSS; KBDSS; intelligent DSS; knowledge modelling; knowledge representation; reasoning; inference; application domains; decision making; service industry; systems design; services.

DOI: 10.1504/IJIDS.2016.078586

International Journal of Information and Decision Sciences, 2016 Vol.8 No.3, pp.305 - 324

Available online: 23 Aug 2016 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article