Analytic Hierarchy Process Based Fuzzy Decision Fusion System for Model Prioritization and Process Monitoring Application

2019 ◽  
Vol 15 (1) ◽  
pp. 357-365 ◽  
Author(s):  
Zhiqiang Ge ◽  
Yue Liu
Keyword(s):  
Analytic Hierarchy Process ◽  
Process Monitoring ◽  
Decision Fusion ◽  
Fusion System ◽  
Fuzzy Decision ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Monitoring Application

Fuzzy Decision of Antiquated Buildings Demolition Method

2013 ◽  
Vol 838-841 ◽  
pp. 2768-2772
Author(s):  
Xu Kuo Gao ◽  
Qiong Wang
Keyword(s):  
Analytic Hierarchy Process ◽  
Influencing Factors ◽  
Optimal Choice ◽  
Fuzzy Analytic Hierarchy Process ◽  
Fuzzy Decision ◽  
Analytic Hierarchy ◽  
Optimization System ◽  
Comparison And Analysis ◽  
Set Up ◽  
Hierarchy Process

The article discussed the demolition way of antiquated buildings and the influencing factors of strategy optimization, and then it set up the index optimization system, using fuzzy analytic hierarchy process (FAHP) to determine the demolition scheme for the antiquated buildings, and ultimately selected the optimal way. Through comparison and analysis, selective demolition is the optimal choice in the demolition process of the antiquated buildings.

scholarly journals Fault Classification Decision Fusion System Based on Combination Weights and an Improved Voting Method

Processes ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. 783 ◽  
Author(s):  
Fanliang Zeng ◽  
Zuxin Li ◽  
Zhe Zhou ◽  
Shuxin Du
Keyword(s):  
Performance Evaluation ◽  
Classification Accuracy ◽  
Decision Fusion ◽  
Fault Classification ◽  
Ideal Solution ◽  
Fusion System ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Voting Method

It is difficult to correctly classify all faults by using only one classifier, and the performance of most classifiers varies under different conditions. In view of this, a new decision fusion system is proposed to solve the problem of fault classification. The proposed decision fusion system is innovative in two aspects: the use of combined weights and a new improved voting method. The combined weights integrate the subjective and objective weights, where the analytic hierarchy process and entropy weight-technique for order performance by similarity to ideal solution are used to determine the subjective and objective weights of different base classifiers under multiple performance evaluation indicators. Moreover, a new improved voting method based on the concept of classifier validity is proposed to increase the accuracy of the decision system. Finally, the method is validated by the Tennessee Eastman benchmark process, and the classification accuracy of the new method is shown to be improved by more than 5.06% compared to the best base classifier.

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