提高业务流程管理的灵活性和可重用性:基于案例的推理技术的作用

Qing Yao, Zhumin Chen, Haiyang Wang
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引用次数: 9

摘要

本文讨论了一种利用基于案例推理的人工智能技术来提高BPMS灵活性和促进其重用的解决方案,即通过记住以前的类似情况并通过重用该情况的信息和知识来解决新问题。对CBR的主要兴趣在于它允许一个系统避免过去的失败并利用过去的成功。我们所描述的业务流程管理的重点是业务目标状态的转换,这是企业最重要的场景。用例是通用业务流程的模板,它结合了一系列活动来满足一些特殊的目标,换句话说,就是完成目标的状态转换。可以修改用例以满足新的业务目标规范,并在存储库中恢复用例,这有助于建立知识库。本文讨论了基于目标状态转换的案例检索、重用、修改和保留,并给出了案例表示。强调了案例的相似性度量,给出了匹配算法
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving Flexibility and Reusage of Business Process Management: the Role of Cased-based Reasoning Technique
This paper discusses a solution to improve flexibility of BPMS and promote its reuse by using an AI technique: case-based reasoning, that is, to solve a new problem by remembering a previous similar situation and by reusing information and knowledge of that situation. The main interest in CBR relies on its allowance of a system to avoid past failures and exploit past successes. The focus of our business process management depicted is on the transformation of a business goal's states, which are the most important scenarios of enterprises. A case is a template of common business processes, which combines a series of activities to meet some special goals, in another word, to complete goal's states transformation. Cases can be modified to meet the new business goals specification, and restored in repository, which contributes to knowledge base. The paper discusses cases retrieval, reusing, revising, and retaining based on a goal's states transformation and gives cases representation. It emphasizes the similarity measure of cases and gives match arithmetic
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