Explainable Ontology-Based Intelligent Decision Support System for Business Model Design and Sustainability

Basma Hamrouni, Abdelhabib Bourouis, Ahmed Korichi and Mohsen Brahmi
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Basma Hamrouni: Computer Science Department, University of Ouargla, Ouargla 30000, Algeria
Abdelhabib Bourouis: Research Laboratory on Computer Science’s Complex Systems, University of Oum El Bouaghi, Oum El Bouaghi 04000, Algeria
Ahmed Korichi: Computer Science Department, University of Ouargla, Ouargla 30000, Algeria

Sustainability, 2021, vol. 13, issue 17, 1-28

Abstract: Background: Case-Based Reasoning (CBR) is a problem-solving paradigm that uses knowledge of relevant past experiences (cases) to interpret or solve new problems. CBR systems allow generating explanations easily, as they typically organize and represent knowledge in a way that makes it possible to reason about and thereby generate explanations. An improvement of this paradigm is ontology-based CBR, an approach that combines, in the form of formal ontologies, case-specific knowledge with domain one in order to improve the effectiveness and explanation capability of the system. Intelligent systems make daily activities more easily, efficiently, and represent a real support for sustainable economic development. On the one hand, they improve efficiency, productivity, and quality, and, on the other hand, can reduce costs and cut waste. In this way, intelligent systems facilitate sustainable development, economic growth, societal progress, and improve efficiency. Aim: In this vision, the purpose of this paper is to propose a new generation of intelligent decision support systems for Business Model having the ability to provide explanations to increase confidence in proposed solutions. Findings/result: The performance results obtained show the benefits of the proposed solution with different requirements of an explanatory decision support system. Consequently, applying this paradigm for software tools of business model development will make a great promise for supporting business model design, sustainability, and innovation.

Keywords: decision support system; business model; case-based reasoning; sustainability; explanation; ontology (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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