Framework to Support the Representations of Semantic Mappings for a Hybrid Integration Strategy

Zhu, Yimin; Pandit, Aarti; Mao, Weihua

doi:10.1061/(asce)0887-3801(2006)20:4(237)

Cited by 5 publications

(1 citation statement)

References 26 publications

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“…Earlier publications were focussed on the architecture of active IDSS. Subsequently, numerous research and IDSS have been reported based on software agents (Rodgers et al 1999;Hess et al 2000;Lee and Park 2003;Vahidou and Kersten 2004;Lee and Huh 2006;Zhu et al 2006) to support wide range of decision tasks including diagnosis (Thapa et al 2005;Niu et al 2007), information representation and retrieval (Kebair and Serin 2006), electronic commerce (Lee and Park 2003) exception management (Wang et al, 2004), and data flow management (Turck et al 2007). From these developments and systems, it has been noticed that over the years the use of agents in IDSS has shifted from Keen's (1987) original advocate (exploitation of emerging software tools and artificial intelligence to built semi expert systems) to multi agent systems and software computing.…”

Section: Intelligent Agents Enhanced Idssmentioning

confidence: 99%

Integration of decision support systems to improve decision support performance

et al. 2009

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Decision support system (DSS) is a well-established research and development area. Traditional isolated, stand-alone DSS has been recently facing new challenges. In order to improve the performance of DSS to meet the challenges, research has been actively carried out to develop integrated decision support systems (IDSS). This paper reviews the current research efforts with regard to the development of IDSS. The focus of the paper is on the integration aspect for IDSS through multiple perspectives, and the technologies that support this integration. More than 100 papers and software systems are discussed. Current research efforts and the development status of IDSS are explained, compared and classified. In addition, future trends and challenges in integration are outlined. The paper concludes that by addressing integration, better support will be provided to decision makers, with the expectation of both better decisions and improved decision making processes

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