区间值复模糊逻辑的连接与满足运算

2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) Pub Date : 2016-10-01 DOI:10.1109/NAFIPS.2016.7851614

Sarah Greenfield, F. Chiclana, S. Dick

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引用次数: 15

摘要

区间值复杂模糊逻辑能够处理同时具有季节性和不确定性的情况。定义了区间值复模糊集，概述了区间值复模糊推理系统。与复杂模糊逻辑运算高度相关的是旋转不变性的概念，这是一个直观和理想的特性。区间值复模糊逻辑是由区间值连接和满足操作驱动的。为这些操作指定了四对备选算法;其中三对具有转动不变性，而另一对则缺乏转动不变性。

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Join and meet operations for interval-valued complex fuzzy logic

Interval-valued complex fuzzy logic is able to handle scenarios where both seasonality and uncertainty feature. The interval-valued complex fuzzy set is defined, and the interval-valued complex fuzzy inferencing system outlined. Highly pertinent to complex fuzzy logic operations is the concept of rotational invariance, which is an intuitive and desirable characteristic. Interval-valued complex fuzzy logic is driven by interval-valued join and meet operations. Four pairs of alternative algorithms for these operations are specified; three pairs possesses the attribute of rotational invariance, whereas the other pair lacks this characteristic.

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2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS)

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