A linguistic similarity method in case-based reasoning for performance evaluation in Tunisian banking sector Online publication date: Sat, 09-Aug-2014
by Diala Dhouib; Habib Chabchoub
International Journal of Information and Decision Sciences (IJIDS), Vol. 4, No. 1, 2012
Abstract: The performance evaluation of banks is an essential task in the determination of banks' capabilities to compete in the sector. The conventional method – a calculation by intuition – for devising such evaluations is often inaccurate. To overcome these difficulties, this paper proposes that case-based reasoning (CBR) could be employed to provide performance evaluations from historical banks of Tunisian banking sector. The main objective of these evaluations is to transform data and statistics into synthetic information easy to understand by several groups of people in the banking domain such as creditors, investors and stakeholders. The aim of this study is to propose a linguistic similarity method in the retrieval mechanism of CBR to evaluate the banks' performances. By this way, the two-tuple linguistic representation model is integrated in the proposed model. The weights of criteria are determined based on the opinions of experts using the Choquet integral to model interactions between them.
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