scholarly journals Grey system Research and Application in the Pool Game

2015 ◽  
Author(s):  
Nezu Tatsuyuki
Keyword(s):  
System Research ◽  
Grey System ◽  
Pool Game

Using GM(1,1) to Clean-Table Offensive Techniques

2013 ◽  
Vol 785-786 ◽  
pp. 1447-1453
Author(s):  
Tien Kuei Yu
Keyword(s):  
System Theory ◽  
Decision Making ◽  
Data Base ◽  
Grey System Theory ◽  
Collision Theory ◽  
Grey System ◽  
Decision Factors ◽  
Set Up ◽  
Moving Path ◽  
Pool Game

The objective of this thesis is to make a position play for a billiard robot in a nine ball pool game by the Grey System Theory. The position play is the placement of the cue ball on the best position to the next planned shot. The robot is able to decide a shooting mode with a corresponding shooting strength from the developed data base of rebound paths of the cue ball. The rebound paths are calculated and recorded from four shooting modes (free shot, cushion shot, bank shot, kiss shot) with five different shooting strengths by the collision theory in a PC. The continuous position play is called the clean-table in the pool game. The moving path of object ball and cue ball are calculated by the collision theory. The grey decision making is developed to find out the best position of cue ball after shooting for the position play. The decision factors are the block ball, the shooting angle, the distance between the object ball and the pocket, and the distance between the object ball and the cue ball. The first priority of the position play is to choose the corresponding object ball and the rebound path of cue ball without any block ball. Then, the second priority is to choose the higher successful pocketing rate (large than 60%). Finally, the offensive decision is set up to make a position play by the Grey Decision-making Sub-system. The experimental results show this clean-table offensive system works very well in the pool game.

YOUTH CRIMINAL SUBCULTURE AS A FACTOR IN THE FORMATION OF THE PERSONALITY OF A MINOR CRIMINAL

2020 ◽  
Vol 10 (3) ◽  
pp. 177-180
Author(s):  
VERA SHUNYAEVA ◽  
Keyword(s):  
Research Method ◽  
Negative Impact ◽  
System Research ◽  
Scientific Methods ◽  
General Scientific ◽  
Definition Of ◽  
A Minor ◽  
Method Analysis

The article is devoted to the research of the youth criminal subculture and its impact on the personality of under-aged. In the course of analysis of this negative impact, a definition of the criminal subculture of under-aged was proposed. The main principles of such a criminal subculture as AUE (the acronym, transcribed from Russian: АУЕ or А.У.Е., comes from «Арестантский уклад един» / “Prisoners Unity (Solidarity)” are defined. The reasons contributing to the development of this negative phenomenon and the typical fea- tures of a minor sharing the ideology of the AUE were identified. The methods for counteracting the AUE were proposed. The method- ological basis of the research is formed by general scientific methods: dialectical, system research method, analysis, synthesis, induction, deduction, analogy, etc., as well as such private scientific methods as comparative legal, formal legal, structural and functional, statistical ones. The authors relied on the results of research by Russian and foreign legal scholars, sociologists, psychologists.

EDUCATIONAL HARDWARE AND SOFTWARE LAYOUT FOR TWO-MASS ELECTROMECHANICAL SYSTEM RESEARCH

2015 ◽  
Vol 20 (96) ◽  
pp. 15-21
Author(s):  
Victor V. Busher ◽  
◽  
Elena V. Naydenko ◽  
Keyword(s):  
Electromechanical System ◽  
System Research

Prediction of Technical Reserves Based on Grey Model — GM(1,1): Evidence from Non-life Egyptian Insurance Market

2019 ◽  
Vol 10 (9) ◽  
pp. 852-860
Author(s):  
Mahmoud Elsayed ◽  
◽  
Amr Soliman ◽  
Keyword(s):  
System Theory ◽  
Grey System Theory ◽  
Insurance Market ◽  
Grey Model ◽  
Loss Ratio ◽  
Grey System ◽  
Mathematical Technique ◽  
Supervisory Authority ◽  
Error Ratio ◽  
Using Data

Grey system theory is a mathematical technique used to predict data with known and unknown characteristics. The aim of our research is to forecast the future amount of technical reserves (outstanding claims reserve, loss ratio fluctuations reserve and unearned premiums reserve) up to 2029/2030. This study applies the Grey Model GM(1,1) using data obtained from the Egyptian Financial Supervisory Authority (EFSA) over the period from 2005/2006 to 2015/2016 for non-life Egyptian insurance market. We found that the predicted amounts of outstanding claims reserve and loss ratio fluctuations reserve are highly significant than the unearned premiums reserve according to the value of Posterior Error Ratio (PER).

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