Multi-UAV counter-game model based on uncertain information

2020 ◽  
Vol 366 ◽  
pp. 124684 ◽  
Author(s):  
Jiwei Xu ◽  
Zhenghong Deng ◽  
Qun Song ◽  
Qian Chi ◽  
Tao Wu ◽  
...  
Keyword(s):  
Game Model ◽  
Uncertain Information ◽  
Model Based ◽  
Multi Uav

Software protection game model based on divided-storage strategy

2013 ◽  
Vol 33 (9) ◽  
pp. 2525-2528
Author(s):  
Rui WANG ◽  
Qiuxiang YANG ◽  
Gouxi CHEN ◽  
Qiaomei MA
Keyword(s):  
Game Model ◽  
Software Protection ◽  
Model Based

An Optimized Logistic Regression Model Based on the Maximum Entropy Estimation Under the Hesitant Fuzzy Environment

2021 ◽  
pp. 1-25
Author(s):  
Chenyang Song ◽  
Liguo Wang ◽  
Zeshui Xu
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Maximum Entropy ◽  
Logistic Regression Model ◽  
Uncertain Information ◽  
Entropy Estimation ◽  
Model Based ◽  
Fuzzy Environment ◽  
Maximum Entropy Estimation ◽  
Specific Implementation

The logistic regression model is one of the most widely used classification models. In some practical situations, few samples and massive uncertain information bring more challenges to the application of the traditional logistic regression. This paper takes advantages of the hesitant fuzzy set (HFS) in depicting uncertain information and develops the logistic regression model under hesitant fuzzy environment. Considering the complexity and uncertainty in the application of this logistic regression, the concept of hesitant fuzzy information flow (HFIF) and the correlation coefficient between HFSs are introduced to determine the main factors. In order to better manage situations with small samples, a new optimized method based on the maximum entropy estimation is also proposed to determine the parameters. Then the Levenberg–Marquardt Algorithm (LMA) under hesitant fuzzy environment is developed to solve the parameter estimation problem with fewer samples and uncertain information in the logistic regression model. A specific implementation process for the optimized logistic regression model based on the maximum entropy estimation under the hesitant fuzzy environment is also provided. Moreover, we apply the proposed model to the prediction problem of Emergency Extreme Air Pollution Event (EEAPE). A comparative analysis and a sensitivity analysis are further conducted to illustrate the advantages of the optimized logistic regression model under hesitant fuzzy environment.

Multi-criteria game model based on the pairwise comparisons of strategies with Z-numbers

2019 ◽  
Vol 74 ◽  
pp. 451-465 ◽  
Author(s):  
Hong-gang Peng ◽  
Xiao-kang Wang ◽  
Tie-li Wang ◽  
Jian-qiang Wang
Keyword(s):  
Pairwise Comparisons ◽  
Game Model ◽  
Model Based

Manufacturing Evaluation Model Based on Multi-Attribute Making Engineering

2013 ◽  
Vol 340 ◽  
pp. 240-244
Author(s):  
Peng Ye ◽  
Zhong Wen Chen
Keyword(s):  
Decision Making ◽  
Index System ◽  
Evaluation Model ◽  
Scientific Research ◽  
Fuzzy Mathematics ◽  
Uncertain Information ◽  
Academic Reputation ◽  
Model Based ◽  
The Index System

In this paper, the problem of evaluating the key discipline level of university is studied. Firstly, the index system of evaluation is established, i.e., academic team, scientific research, talent training, and academic reputation. Then, an evaluation model of evaluating the key discipline is presented based on the theory of fuzzy mathematics and decision making. Therefore, a novel and effective way is given to solve the problem of evaluating the key discipline level of university under the uncertain information.

GAME MODEL BASED ON LOCAL WISDOM VALUES AS AN EFFORT TO INCREASE SOCIAL AND GROSS MOTORICABILITIES OF EARLY CHILDHOOD

2017 ◽  
Vol 3 (3) ◽  
pp. 410-423
Author(s):  
Hanafiah . ◽  
◽  
M. Andriana Gaffar ◽  
Reni Nurapriani ◽  
◽  
...  
Keyword(s):  
Early Childhood ◽  
Game Model ◽  
Model Based
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