Using Z-number to measure the reliability of new information fusion method and its application in pattern recognition

2021 ◽  
pp. 107658
Author(s):  
Ye Tian ◽  
Xiangjun Mi ◽  
Huizi Cui ◽  
Pengdan Zhang ◽  
Bingyi Kang
Keyword(s):  
Pattern Recognition ◽  
Information Fusion ◽  
Fusion Method ◽  
New Information

A New Information Fusion Method for Bimodal Robotic Emotion Recognition

2008 ◽  
Vol 3 (7) ◽  
Author(s):  
Meng-Ju Han ◽  
Jing-Huai Hsu ◽  
Kai-Tai Song ◽  
Fuh-Yu Chang
Keyword(s):  
Emotion Recognition ◽  
Information Fusion ◽  
Fusion Method ◽  
New Information

A new information fusion method of forecasting

2017 ◽  
Vol 10 (1) ◽  
pp. 307-314 ◽  
Author(s):  
Yunxiao Ye ◽  
Jinsuo Zhang ◽  
Zanghong Huang ◽  
Jian Chai
Keyword(s):  
Information Fusion ◽  
Fusion Method ◽  
New Information

A Novel Information Fusion Method Based on Preference Selection Index

2014 ◽  
Vol 1078 ◽  
pp. 349-352
Author(s):  
Hui Zheng
Keyword(s):  
Information Fusion ◽  
Selection Index ◽  
Fusion Method ◽  
Relative Importance ◽  
Index Method ◽  
Weighting Method ◽  
New Information ◽  
Decision Making Problem ◽  
Multi Attribute Decision Making ◽  
Sensor Information

The aim of this paper is to propose a new information fusion method for the problem of multi-sensor target recognition. Multi-sensor information fusion problem contains many characteristic indexes, and thus it can be regarded as a multi-attribute decision making problem. The new fusion method is put forward based on preference selection index method. The new information fusion method is not necessary to assign relative importance between attributes, but overall preference value of attributes are calculated using concept of statistics. Thus the new method can overcome the subjective randomness of subjectively weighting method. An applied example proves that the method is both effective and exercisable.

Fault Classification of Hydroelectric Generating Unit Based on Improved Evidence Theory

2014 ◽  
Vol 7 (1) ◽  
pp. 78-83 ◽  
Author(s):  
Jiatang Cheng ◽  
Li Ai ◽  
Zhimei Duan ◽  
Yan Xiong
Keyword(s):  
Fault Diagnosis ◽  
Information Fusion ◽  
Evidence Theory ◽  
Fault Classification ◽  
Fusion Method ◽  
Inconsistent Result ◽  
High Conflict

Aiming at the problem of the conventional vibration fault diagnosis technology with inconsistent result of a hydroelectric generating unit, an information fusion method was proposed based on the improved evidence theory. In this algorithm, the original evidence was amended by the credibility factor, and then the synthesis rule of standard evidence theory was utilized to carry out information fusion. The results show that the proposed method can obtain any definitive conclusion even if there is high conflict evidence in the synthesis evidence process, and may avoid the divergent phenomenon when the consistent evidence is fused, and is suitable for the fault classification of hydroelectric generating unit.

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