scholarly journals Risk analysis of urban flood in Bandar Abbas using Machine Learning model and Analytic Hierarchy Process

2021 ◽  
Vol 11 (1) ◽  
pp. 36-57
Author(s):  
yusef ahmadi ◽  
ommolbanin bazrafshan ◽  
ali salajeghe ◽  
arashk holisaz ◽  
◽  
...  
Keyword(s):  
Machine Learning ◽  
Risk Analysis ◽  
Analytic Hierarchy Process ◽  
Learning Model ◽  
Analytic Hierarchy ◽  
Urban Flood ◽  
Machine Learning Model ◽  
Bandar Abbas ◽  
Hierarchy Process

scholarly journals K-Nearest Neighbor with K-Fold Cross Validation and Analytic Hierarchy Process on Data Classification

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Zoelkarnain Rinanda Tembusai ◽  
Herman Mawengkang ◽  
Muhammad Zarlis
Keyword(s):  
Machine Learning ◽  
Feature Selection ◽  
Analytic Hierarchy Process ◽  
Cross Validation ◽  
Nearest Neighbor ◽  
K Nearest Neighbor ◽  
Analytic Hierarchy ◽  
Machine Learning Model ◽  
Hierarchy Process ◽  
Fold Cross Validation

This study analyzes the performance of the k-Nearest Neighbor method with the k-Fold Cross Validation algorithm as an evaluation model and the Analytic Hierarchy Process method as feature selection for the data classification process in order to obtain the best level of accuracy and machine learning model. The best test results are in fold-3, which is getting an accuracy rate of 95%. Evaluation of the k-Nearest Neighbor model with k-Fold Cross Validation can get a good machine learning model and the Analytic Hierarchy Process as a feature selection also gets optimal results and can reduce the performance of the k-Nearest Neighbor method because it only uses features that have been selected based on the level of importance for decision making.

E-Commerce Risk Analysis with Fuzzy Analytic Hierarchy Process

2014 ◽  
Vol 571-572 ◽  
pp. 1129-1132
Author(s):  
Tao Xu
Keyword(s):  
Risk Management ◽  
Risk Analysis ◽  
Analytic Hierarchy Process ◽  
Risk Measurement ◽  
Fuzzy Analytic Hierarchy Process ◽  
Management Process ◽  
Analytic Hierarchy ◽  
Risk Management Process ◽  
Hierarchy Process

Fuzzy Analytic Hierarchy Process (FAHP) has been applied widely in risk measurement. In this paper, we have applied FAHP to the risk measurement of an e-commerce business. The results indicate that FAHP can reveal more details of risks. It is also helpful for the e-commerce businesses to improve their risk management process.

Investment Risk Analysis on the Widespread Use of Electric Vehicles

2011 ◽  
Vol 271-273 ◽  
pp. 895-899
Author(s):  
Bin Wu ◽  
Min Xi Zhao
Keyword(s):  
Risk Analysis ◽  
Analytic Hierarchy Process ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Risk Model ◽  
Supply And Demand ◽  
Investment Risk ◽  
Fuzzy Evaluation ◽  
Analytic Hierarchy ◽  
Hierarchy Process

Because of the gradually increasing gap between supply and demand of oil and more attention paid to the environment, the pace of Electric Vehicle investment is gradually increasing, and the problem of investment risk comes into focus. This paper studies the Investment Risk of widespread manufactory of Electric Vehicles, which is in Problem C of ICM (The Interdisciplinary Contest in Modeling) in 2011. In order to give a rough estimate, we establish an investment risk model, using Analytic Hierarchy Process and Fuzzy Evaluation to evaluate the investment risk. Finally, we will provide reasonable opinions to vehicle manufacturers.

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