A decision-support system for business acquisitions

Pal, Kamalendu; Palmer, Owen P.

doi:10.1016/s0167-9236(99)00083-4

Cited by 53 publications

(10 citation statements)

References 17 publications

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“…Recent work in IDSS integrating KBS can be organised around three important approaches: rule based reasoning, case based reasoning, and hybrid reasoning (i.e. combination of rule based reasoning and case based reasoning) or integration of other reasoning methods such as Bayesian networks and genetic algorithm (Boyle et al 2006;Pal and Palmer 2000). Figure 4 shows the role of KBS approaches in facilitating model integration of an IDSS.…”

Section: Knowledge Based Systems 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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Section: Knowledge Based Systems Enhanced Idssmentioning

confidence: 99%

Integration of decision support systems to improve decision support performance

et al. 2009

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“…This new solution then becomes a stored case (Kerin, 1997). In the broad area of strategic decision-making, Pal and Palmer (2000) have developed a CBR-based system called DSBAP for business acquisition process decisions. Changchien and Lin (2005) report on a DSS for the formulation of short-term marketing plans using CBR.…”

Section: Advantages and Disadvantages Of Relevant Decision Support Anmentioning

confidence: 99%

A multi‐agent‐based hybrid framework for international marketing planning under uncertainty

2009

Intelligent Systems in Accounting, Finance and Management

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The increased complexity and competition in the global marketing environment present new challenges to decision‐makers. The characteristics of the international marketing planning problem are clarified in this paper. The advantages and disadvantages of relevant techniques and technologies that may be applied to deal with the planning problem are analysed. A multi‐agent‐based hybrid intelligent framework for international marketing planning and associated Internet strategy formulation is then established, with underlying techniques, technologies, software architecture and integration method outlined. In addition, a software prototype of the hybrid framework, called AgentsInternational, is created and presented, with initial evaluation results reported. Further work on this topic is also planned. Copyright © 2009 John Wiley & Sons, Ltd.

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“…Several recent works have applied CBR to different business domains, including business acquisitions (Pal and Palmer 2000), transfer pricing (Curt and Elliott 1997), marketing research (Ville 1997;Changchien and Lin 2005), medical applications (Wyns et al 2004), the prediction of high risk software components (Emam et al 2001), the financial classification such as bond rating and bankruptcy prediction (Bryant 1997;Shin and Han 1999), and others (Capus and Tourigny 2003;Reich and Kapeliuk 2004).…”

Section: Case-based Reasoningmentioning

confidence: 99%