Fuzzy expert maps for risk management systems

R. Jasinevicius, V. Petrauskas
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引用次数: 12

Abstract

After widely known implementations of perfect ideas, expressed by researchers R. Axelrod, L. Zadeh and B. Kosko, the fuzzy cognitive map (FCM) became an important tool for decision makers in various practical areas, such as business evaluation, risk management, international policy making, medical diagnostics and others. The principle possibility of FCM involvement into a regional oceanic modeling system (ROMS) was presented during the US/EU Baltic International Symposium in Klaipeda in May 2006. Todaypsilas experience permits to extend the concept of FCM nodes, including additional fuzzy expert knowledge and enriching the representation of real situations under consideration. This paper presents a systematic approach, based on the authorspsila research, to the idea of FCM extension and its transformation into a rule-based fuzzy expert map (FEM), presents a simplified fragment of FEM use for a port security system, and discusses further perspectives of developing new tools for decision makers in risk management systems in general.
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风险管理系统的模糊专家图
在研究者R. Axelrod、L. Zadeh和B. Kosko所表达的完美思想广为人知的实施之后,模糊认知地图(FCM)成为决策者在各种实际领域的重要工具,如商业评估、风险管理、国际政策制定、医疗诊断等。2006年5月在克莱佩达举行的美国/欧盟波罗的海国际研讨会上提出了FCM参与区域海洋模拟系统(ROMS)的主要可能性。今天,psilas的经验允许扩展FCM节点的概念,包括额外的模糊专家知识和丰富所考虑的真实情况的表示。本文在作者研究的基础上,提出了一种系统的方法,将FCM的思想扩展并将其转化为基于规则的模糊专家图(FEM),给出了一个简化的FEM在港口安全系统中的应用片段,并讨论了为风险管理系统中的决策者开发新工具的进一步前景。
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