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Generalized fuzzy cognitive maps: a new extension of fuzzy cognitive maps

机译:广义模糊认知图:模糊认知图的新扩展

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摘要

A fuzzy cognitive maps (FCM) is a cognitive map within the relations between the elements. FCM has been widely used in many applications such as experts system and knowledge engineering. However, classical FCM is inherently short of sufficient capability of representing and aggregating uncertain information. In this paper, generalized FCM (GFCM) is proposed based on genetic algorithm and interval numbers. An application frame of GFCM is detailed. At last, a numerical example about socio-economic system is used to illustrate the effectiveness of the proposed methodology.
机译:模糊认知图(FCM)是元素之间关系内的认知图。 FCM已被广泛应用于专家系统和知识工程等许多应用中。但是,传统的FCM本质上缺乏表示和聚合不确定信息的足够能力。本文提出了一种基于遗传算法和区间数的广义FCM(GFCM)算法。详细介绍了GFCM的应用框架。最后,通过一个关于社会经济系统的数值例子来说明所提方法的有效性。

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  • 作者单位

    School of Computer and Information Science, Southwest University, Chongqing 400715, China;

    School of Computer and Information Science, Southwest University, Chongqing 400715, China,Department of the Tibetan Language, Sichuan University of Nationalities, Kangding 626001, Sichuan, China;

    Okanagan School of Engineering, Faculty of Applied Science, University of British Columbia, Kelowna, BC V1V 1V7, Canada;

    School of Computer and Information Science, Southwest University, Chongqing 400715, China,School of Electronics and Information Technology, Shanghai Jiao Tong University, Shanghai 200240, China,School of Engineering, Vanderbilt University, Nashville, TN 37235, USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Generalized fuzzy cognitive maps; Interval number; Genetic algorithm; Decision making;

    机译:广义模糊认知图;间隔号;遗传算法做决定;
  • 入库时间 2022-08-17 13:51:40

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