Extracting hierarchical concept with cloud transform

2012 ◽  
Author(s):  
Hui Meng ◽  
Shuliang Wang ◽  
Liping Xiao
Keyword(s):  
Cloud Transform

scholarly journals Selection of Fuzzy Controller Membership Functions Based on Adaptive Gaussian Cloud Transform

2018 ◽  
Vol 36 (3) ◽  
pp. 439-447
Author(s):  
Yong Wang ◽  
Cong Li ◽  
Hanqiao Huang ◽  
Huan Zhou
Keyword(s):  
Fuzzy Controller ◽  
Membership Functions ◽  
Threshold Values ◽  
Coverage Area ◽  
Concept Hierarchy ◽  
Response Characteristics ◽  
Sample Data ◽  
Cloud Transform ◽  
Six Degree Of Freedom ◽  
Selection Of

Aiming at the boundedness of existing methods of selecting membership functions, an adaptive Gaussian cloud transform algorithm which is guided by the threshold values of hybridization degree is proposed to construct concept hierarchy from original sample data, and then the number, shape and coverage area of membership functions can be derived from the distribution of Gaussian cloud. To test and verify the effectiveness of membership function that is extracted based on adaptive Gaussian cloud transform algorithm, a six-degree-of freedom model of unmanned aerial vehicles(UAV) is constructed, and a fuzzy controller of pitching angle is established with the platform of Simulink. The simulation results show that the fuzzy controller which includes membership functions derived from the distribution of Gaussian cloud transform can achieve perfect control performance of pitching angle and meanwhile obtain good dynamic response characteristics.

Estimating the Cloud Transform

2012 ◽  
Author(s):  
O. Kolbjornsen ◽  
A. MacDonald ◽  
A. Skorstad ◽  
T. Berg
Keyword(s):  
Cloud Transform

Cloud Relation Model and its Application

2011 ◽  
Vol 268-270 ◽  
pp. 1050-1054
Author(s):  
Chao Yi Feng ◽  
Song Han
Keyword(s):  
Relation Database ◽  
Database Theory ◽  
Qualitative Estimate ◽  
Subjective Factor ◽  
Relation Model ◽  
Cloud Transform ◽  
The Way

Based on Cloud Transform and Noclassical Relation Database Theory,the Paper Define Cloud Relation Model and Discuss the Significance of Cloud Relation Model.At the same Time ,based on Cloud Relation Model,the Paper Ameliorate the Way of Qualitative Estimate about Student Scores，conquer the Subjective Factor and Presents the Objective Way of Qualitative Estimate about Students .The Examples Prove the Way Is Feasible.

scholarly journals Cloud Transform Algorithm Based Model for Hydrological Variable Frequency Analysis

2021 ◽  
Vol 13 (18) ◽  
pp. 3586
Author(s):  
Xia Bai ◽  
Juliang Jin ◽  
Shaowei Ning ◽  
Chengguo Wu ◽  
Yuliang Zhou ◽  
...  
Keyword(s):  
Probability Distribution ◽  
Frequency Analysis ◽  
Distribution Curve ◽  
Annual Precipitation ◽  
Cumulative Probability ◽  
Variable Frequency ◽  
Precipitation Frequency ◽  
Hydrological Variable ◽  
Water Conservancy ◽  
Cloud Transform

Hydrological variable frequency analysis is a fundamental task for water resource management and water conservancy project design. Given the deficiencies of higher distribution features for the upper tail section of hydrological variable frequency curves and the corresponding safer resulting design of water conservancy projects utilizing the empirical frequency formula and Pearson type III function-based curve fitting method, the normal cloud transform algorithm-based model for hydrological variable frequency analysis was proposed through estimation of the sample empirical frequency by the normal cloud transform algorithm, and determining the cumulative probability distribution curve by overlapping calculation of multiple conceptual cloud distribution patterns, which is also the primary innovation of the paper. Its application result in northern Anhui province, China indicated that the varying trend of the cumulative probability distribution curve of annual precipitation derived from the proposed approach was basically consistent with the result obtained through the traditional empirical frequency formula. Furthermore, the upper tail section of the annual precipitation frequency curve derived from the cloud transform algorithm varied below the calculation result utilizing the traditional empirical frequency formula, which indicated that the annual precipitation frequency calculation result utilizing the cloud transform algorithm was more optimal compared to the results obtained by the traditional empirical frequency formula. Therefore, the proposed cloud transform algorithm-based model was reliable and effective for hydrological variable frequency analysis, which can be further applied in the related research field of hydrological process analysis.

An Integration of Cloud Transform and Rough Set Theory to Induction of Decision Trees

2009 ◽  
Vol 94 (2) ◽  
pp. 261-273 ◽  
Author(s):  
Jing Song ◽  
Tianrui Li ◽  
Da Ruan
Keyword(s):  
Decision Trees ◽  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Cloud Transform

A Model of E-Commerce Credit Evaluation Based on Cloud Theory

2012 ◽  
Vol 546-547 ◽  
pp. 1439-1443
Author(s):  
Yu Liu ◽  
Chang Jin Wang ◽  
Feng Qin Wang
Keyword(s):  
Quantitative Data ◽  
Qualitative Data ◽  
Evaluation Methods ◽  
Credit Evaluation ◽  
Cloud Transform ◽  
Cloud Theory ◽  
Reasoning Engine ◽  
Traditional Evaluation

Traditional evaluation methods do not consider that e-commerce credit evaluation is inherently uncertain and ambiguity .This kind of method makes the evaluation results unnatural. In this paper, a model of e-commerce credit evaluation based on cloud theory is presented. It can transfer quantitative data to qualitative data by cloud transform and cloud maker and matches the index for rules by cloud reasoning engine. If this model is used to explain the result of evaluation, the result could be easier to understand.

scholarly journals Cloud Transform Algorithm based Approach for Hydrological Series Frequency Analysis

2020 ◽  
Author(s):  
Chengguo Wu ◽  
Juliang Jin ◽  
Liyang Zhou ◽  
Xia Bai ◽  
Yuliang Zhou ◽  
...  
Keyword(s):  
Frequency Analysis ◽  
Cloud Transform
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