IDSS-BM: Intelligent Decision Support System for Business Models

Basma Hamrouni, A. Korichi, Abdelhabib Bourouis
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引用次数: 7

Abstract

For decision makers, the Business Model is crucial for the success of organizations. It reflects manager's assumptions about what customers want, and how an enterprise can best meet those needs and get paid for. Decision support systems can assist in making Business Model design decisions. However, previous work on decision support systems for business models provides no solution for explaining their reasoning for managers. The purpose of this paper is to discuss the development of a new generation of intelligent decision support system that have ability of providing explanations to increase confidence in proposed solutions. The intelligent system by giving some support for the suggested conclusions could be used as learning tool in business schools. The proposed system uses Case-Based Reasoning (CBR) as the resolution methodology, which is an important aspect of artificial intelligence. It is a computational methodology designed to generate new solutions to given problems by analyzing known solutions to previously solved problems. The Business Model decision-making tool would provide both the solution and explanation on how it is obtained.
商业模式智能决策支持系统
对于决策者来说,商业模式对组织的成功至关重要。它反映了管理者对客户需求的假设,以及企业如何才能最好地满足这些需求并获得回报。决策支持系统可以帮助制定业务模型设计决策。然而,以前关于商业模型决策支持系统的工作没有为管理者解释其推理提供解决方案。本文的目的是讨论新一代智能决策支持系统的发展,该系统具有提供解释的能力,以增加对拟议解决方案的信心。智能系统通过对建议的结论提供一些支持,可以作为商学院的学习工具。该系统采用基于案例的推理(CBR)作为解决方法,这是人工智能的一个重要方面。它是一种计算方法,旨在通过分析已知解决方案来生成给定问题的新解决方案。商业模型决策工具将提供解决方案和如何获得解决方案的解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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