对于直觉模糊信息系统,通过三方概念分析进行三方冲突分析和解决
IEEE transactions on cybernetics
|December 15, 2025
概括
本研究介绍了一种用于直观模糊信息系统 (IFIS) 的新型三向冲突分析和解决模式. 该模型有效地识别和解决多个对象之间的冲突,使用三向概念分析 (3WCA) 和三向决策 (3WD) 过程.
科学领域:
- 信息系统信息系统信息系统
- 模糊的逻辑 模糊的逻辑
- 决策科学 决策科学 决策科学
背景情况:
- 现实世界的复杂性和不确定性在分析和解决模糊信息系统 (IS) 内的冲突方面带来了挑战.
- 现有的模型与数据固有的模糊性和模糊性作斗争,需要先进的分析框架.
- 与传统的模糊系统相比,直觉模糊信息系统 (IFIS) 为处理不确定性提供了更细致的方法.
研究的目的:
- 为直觉模糊信息系统 (IFIS) 提供一种新的三向冲突分析和解决模式.
- 增强对不确定环境中多个对象产生的冲突的理解和管理.
- 通过确定最大联盟单位,最小冲突单位和可行的战略,为决策提供一个强大的框架.
主要方法:
- 定义直线和垂直距离之间的直觉模糊值 (IFVs) 建立一个直觉模糊的概率-可信度分布.
- 开发直觉模糊的乐观和悲观的形式上下文,使用新的二进制关系来获得直觉模糊的信息.
- 使用三向概念分析 (3WCA) 和三向决策 (3WD) 过程,包括基于值对的对象对,对象和属性的三切.
- 产生直观的模糊概念格子,通过一致性,不一致性和不确定性属性集来分析边际冲突程度.
主要成果:
- 拟议的模型成功地分析了IFIS中的多个对象之间的边际冲突程度.
- 根据三方冲突分析确定最大联盟单位,最小冲突单位和可行的战略集.
- 从直觉模糊距离矩阵中获得的一致性测量,可以对所有可行的策略进行排名.
- 实验验证证证实了该模型在解决冲突方面的有效性,优越性和可行性.
结论:
- 开发的三方冲突分析和解决模式为IFIS中的冲突管理提供了有效的方法.
- 3WCA和3WD的整合提供了一个强大的机制来处理决策中的不确定性和复杂性.
- 该模型比现有方法具有显著的优势,在不确定的环境中在冲突分析和解决方面提供卓越的性能.
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