Risk Degree Assessment of Natural Disasters in China Using Set Pair Analysis Method

2012 ◽  
Vol 518-523 ◽  
pp. 1273-1277
Author(s):  
Yun Xia Xie ◽  
Wen Sheng Wang
Keyword(s):  
Natural Disasters ◽  
Critical Issue ◽  
Set Pair Analysis ◽  
Analysis Method ◽  
Full Account ◽  
New Approach ◽  
Risk Degree ◽  
Assessment Standard ◽  
Pair Analysis

It is a critical issue to assess risk degree of natural disasters in China. Firstly the assessment indexes and assessment standard grades of natural disasters risk degree are established, then comes up with a new approach to assess risk degree of natural disasters: Set Pair Analysis Method (SPAM), finally acquires the risk degree grades of Chinese natural disasters based on SPAM. The SPAM takes the fuzzy of grade standards into full account, and is simple in concept and easy in calculation and application. The results of evaluation about Chinese natural disasters risk degree are credible.

A new approach to water resources system assessment — set pair analysis method

2009 ◽  
Vol 52 (10) ◽  
pp. 3017-3023 ◽  
Author(s):  
WenSheng Wang ◽  
JuLiang Jin ◽  
Jing Ding ◽  
YueQing Li
Keyword(s):  
Water Resources ◽  
Set Pair Analysis ◽  
Analysis Method ◽  
New Approach ◽  
Water Resources System ◽  
System Assessment ◽  
Pair Analysis

Hazard degree assessment of landslide using set pair analysis method

2011 ◽  
Vol 60 (2) ◽  
pp. 367-379 ◽  
Author(s):  
Wang Wensheng ◽  
Li Yueqing
Keyword(s):  
Set Pair Analysis ◽  
Analysis Method ◽  
Hazard Degree ◽  
Pair Analysis

scholarly journals Adaptive Multi-state Pipe Framework Based on Set Pair Analysis

2021 ◽  
Vol 11 (2) ◽  
pp. 158-163
Author(s):  
Leixin Shi ◽  
Hongji Xu ◽  
Beibei Zhang ◽  
Xiaojie Sun ◽  
Juan Li ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Set Pair Analysis ◽  
New Approach ◽  
Test Error ◽  
Main Research ◽  
Main Pipe ◽  
Research Fields ◽  
Classification Tasks ◽  
Pair Analysis

Human Activity Recognition (HAR) is one of the main research fields in pattern recognition. In recent years, machine learning and deep learning have played important roles in Artificial Intelligence (AI) fields, and are proven to be very successful in classification tasks of HAR. However, there are two drawbacks of the mainstream frameworks: 1) all inputs are processed with the same parameters, which would cause the framework to incorrectly assign an unrealistic label to the object; 2) these frameworks lack generality in different application scenarios. In this paper, an adaptive multi-state pipe framework based on Set Pair Analysis (SPA) is presented, where pipes are mainly divided into three kinds of types: main pipe, sub-pipe and fusion pipe. In the main pipe, the input of classification tasks is preprocessed by SPA to obtain the Membership Belief Matrix (MBM). The sub-pipe shunt processing is performed according to the membership belief. The results are merged through the fusion pipe in the end. To test the performance of the proposed framework, we attempt to find the best configuration set that yields the optimal performance and evaluate the effectiveness of the new approach on the popular benchmark dataset WISDM. Experimental results demonstrate that the proposed framework can get the good performance by achieving a result of 1.4% test error.

scholarly journals Application of Set Pair Analysis Method Based on Entropy Weight in Groundwater Quality Assessment -A Case Study in Dongsheng City, Northwest China

2011 ◽  
Vol 8 (2) ◽  
pp. 851-858 ◽  
Author(s):  
Li Pei-Yue ◽  
Qian Hui ◽  
Wu Jian-Hua
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Quality Assessment ◽  
Assessment Model ◽  
Set Pair Analysis ◽  
Analysis Method ◽  
Entropy Weight ◽  
Groundwater Quality Assessment ◽  
Pair Analysis

Groundwater quality assessment is an essential study which plays important roles in the rational development and utilization of groundwater. Groundwater quality greatly influences the health of local people. However, most traditional water quality comprehensive assessment methods which have complicated formulas are difficult to apply in water quality assessment. In this paper, a novel method for groundwater quality assessment called set pair analysis was introduced and entropy weight was assigned to each index to improve the assessment model. The calculation steps are depicted in the paper and take groundwater quality assessment in Dongsheng City as a case study. The assessment results indicated that groundwater qualities in the study area were relatively good, Set Pair Analysis method, which was an optimal method for groundwater quality assessment and worth promoting, was easy to use and calculation processes which use almost all the relative information were simple, results were reasonable, reliable and intuitive.

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