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The Application of Case Based Reasoning to the Interpretation of Financial Data for Acquisition Analysis

Mulvenna, Maurice, McIvor, Ronan, Ward, Anne-Marie and Hughes, John (1996) The Application of Case Based Reasoning to the Interpretation of Financial Data for Acquisition Analysis. In: 2nd International Conference of Artificial Intelligence in Accounting, Finance and Tax, Huelva, Spain. Colegio de Economistas de Huelva, Spain. 19 pp. [Conference contribution]

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Abstract

This paper illustrates how knowledge based systems technology, and in particular case based reasoning technology, can assist in the interpretation of financial data for acquisition analysis. The authors discuss a prototype model designed to help a company formulate an effective acquisition decision. The model includes both rule based and case based reasoning technology. There is a particular focus on the issues involved in the application of case based reasoning techniques to the automation of the acquisition decision-making process. The development of this hybrid system has shown that it is possible to use knowledge based systems methods to build a hybrid decision support system in the area of financial strategic decision making, especially if the domain is well defined, has a large number of factors to be considered and the relevant knowledge is available. This system has illustrated the immense impact that knowledge based systems technology and case based reasoning can have upon business processes.

Item Type:Conference contribution (Paper)
Keywords:Acquisition Analysis, Knowledge Based Systems, Case Based Reasoning, Hybrid Decision Support Systems.
Faculties and Schools:Faculty of Computing & Engineering
Ulster Business School > Department of International Business
Faculty of Computing & Engineering > School of Computing and Mathematics
Ulster Business School > Department of Accounting, Finance and Economics
Ulster Business School
Research Institutes and Groups:Business and Management Research Institute
Computer Science Research Institute
Computer Science Research Institute > Artificial Intelligence and Applications
ID Code:36505
Deposited By: Professor Maurice Mulvenna
Deposited On:13 Jan 2017 09:41
Last Modified:17 Oct 2017 16:26

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