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A Prolog Based System That Assists Experts to Construct and Simulate Fuzzy Cognitive Maps

机译:基于Prolog的系统,可协助专家构建和模拟模糊认知图

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The method of Fuzzy Cognitive Map (FCM) is a combination of Fuzzy Logic and Artificial Neural Networks that is heavily used by experts and scientists of a diversity of disciplines, for strategic planning, decision making and predictions. A system that would assist decision makers to represent and simulate their own developed Fuzzy Cognitive Maps would be highly appreciated by them, especially from those that do not possess adequate computer skills. In this paper, a Prolog based system is designed and implemented to assist experts to both construct and simulate of their own FCMs. The representation capabilities of the system and the design choices are discussed and a variety of examples are given to demonstrate the use of the system.
机译:模糊认知图(FCM)方法是模糊逻辑和人工神经网络的组合,被众多学科的专家和科学家广泛使用,用于战略规划,决策和预测。他们会高度赞赏一个可以帮助决策者表示和模拟自己开发的模糊认知图的系统,尤其是那些没有足够计算机技能的系统。在本文中,设计并实现了一个基于Prolog的系统,以帮助专家构建和模拟他们自己的FCM。讨论了系统的表示能力和设计选择,并给出了许多示例来演示系统的使用。

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