STRUCTURAL DESCRIPTION FOR FUZZINESS MEASURE

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外文摘要：Fuzzy techniques are playing an increasing role in current intelligent computations and optimizations。 How to reasonably describe and measure uncertain information has been becoming urgent in many practical domains such as artificial intelligence， computer techniques， control and optimizations in complex manufacturing systems。 In view of poor indistinct structure features of current measuring ways for fuzziness， two concepts， fuzziness feature function and fuzziness-synthesizing operator， are proposed to describe and process fuzziness。 Fuzziness can then be expressed as the compounding of the two functions if the axiomatic systems for fuzziness are modified。 This will help us effectively to imd methods measuring fuzziness under distinct decision consciousness。

外文关键词：

Fuzzy informationFuzziness measureFuzziness-synthesizing operatorFuzziness feature function

作者：

FA-CHAO LI、LI-MIN LIU、CHEN-XIA JIN

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作者单位：

College of Economics and Management, Hebei University of Science and Technology, Shijiazhuang Hebei 050018, China

College of Science, Hebei University of Science and Technology, Shijiazhuang Hebei 050018, China

College of Science, Hebei University of Sci

会议名称：

Proceedings of the 2006 International Conference on Machine Learning and Cybernetics

会议地点：

Dalian(CN)

会议母体文献：

International Conference on Machine Learning and Cybernetics; 20060813-16; Dalian(CN)

页码：

P.1647-1651

出版时间：

2006