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Novel decision-making algorithms based on intuitionistic fuzzy rough environment

机译:基于直觉模糊粗糙环境的新型决策算法

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Intuitionistic fuzzy sets and rough sets are two different mathematical models to deal the problem of how to understand and manipulate imperfect knowledge. An intuitionistic fuzzy rough framework is made by combining these two models, which is a more flexible and expressive for modeling and processing incomplete information in information systems. In this research study, we introduce intuitionistic fuzzy rough graphs, and describe certain types of intuitionistic fuzzy rough graphs with several examples. We present applications of intuitionistic fuzzy rough graphs in decision-making problems. We develop efficient algorithms to solve decision-making problems and compute time complexity of each algorithm.
机译:直觉模糊集和粗糙集是两种不同的数学模型,用于解决如何理解和操纵不完美知识的问题。通过将这两个模型结合起来,可以形成一个直观的模糊粗略框架,它对于信息系统中不完整信息的建模和处理具有更大的灵活性和表现力。在本研究中,我们介绍直觉模糊粗糙图,并通过几个示例来描述某些类型的直觉模糊粗糙图。我们提出直觉模糊粗糙图在决策问题中的应用。我们开发了有效的算法来解决决策问题并计算每种算法的时间复杂度。

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