Incremental fuzzy probability decision-theoretic approaches to dynamic three-way approximations

2021 ◽  
Vol 550 ◽  
pp. 71-90
Author(s):  
Xin Yang ◽  
Dun Liu ◽  
Xibei Yang ◽  
Keyu Liu ◽  
Tianrui Li
Keyword(s):  
Fuzzy Probability

Design and research of a novel type of mechanical presses driven by three servo motors in parallel

2012 ◽  
Vol 227 (3) ◽  
pp. 580-591 ◽  
Author(s):  
Xun Huang ◽  
Chunxiang Ma ◽  
Suxing Wu ◽  
Qian Wang ◽  
Zhibo Wang ◽  
...  
Keyword(s):  
Probability Theory ◽  
Forward Kinematics ◽  
Generalized Function ◽  
Engineering Practice ◽  
Drawing Process ◽  
Fuzzy Probability ◽  
Fuzzy Reliability ◽  
Deep Drawing Process ◽  
Computing Method ◽  
Fuzzy Probability Theory

A novel type of mechanical presses design driven by three servo motors in parallel is proposed to develop high stamping capacity based on the theory of generalized function sets, and then is improved to enhance its practicability in engineering practice. The inverse and forward kinematics analyses are conducted later. Based on the fuzzy probability theory, the computing method of fuzzy reliability of kinematic accuracy of slider is then obtained. Finally, with a set of optimized length parameters of the presses given, the fuzzy reliability is calculated, on the basis of which a typical deep-drawing process is simulated.

Study on Fuzzy Reliability of Shaft Fixing Grinding Wheel in Internal Grinding

2006 ◽  
Vol 304-305 ◽  
pp. 218-221
Author(s):  
Chun Xiang Ma ◽  
Z.H. Qu ◽  
Q.J. Wu ◽  
Zhen Ruan ◽  
Li Ming Xu
Keyword(s):  
Probability Theory ◽  
Fatigue Strength ◽  
Set Theory ◽  
Fuzzy Set Theory ◽  
Grinding Wheel ◽  
Reliability Model ◽  
Fuzzy Probability ◽  
Fuzzy Reliability ◽  
Internal Grinding ◽  
Fuzzy Probability Theory

The fuzzy allowable intervals of the deflection, the vibration frequency and the fatigue strength of the shaft fixing grinding wheel are proposed in present paper based fuzzy set theory. According to fuzzy probability theory, the fuzzy reliability model of the rigidity, the fuzzy reliability model of the vibration and the fuzzy reliability model of the fatigue for the shaft fixing grinding wheel in internal grinding are given. The method is put into real example.

SOFT MEASUREMENTS AND SOFT CALCULATIONS ARE THE WAY TO MATHEMATIZE THE PSYCHOLOGY OF PERSONALITY

2020 ◽  
Vol 1 (11) ◽  
pp. 5-23
Author(s):  
Alexander V. Spesivtsev ◽  
◽  
Sergey A. Spesivtsev ◽  
Vasily A. Spesivtsev ◽  
◽  
...  
Keyword(s):  
Mathematical Models ◽  
Psychological State ◽  
Fuzzy Probability ◽  
Highly Qualified ◽  
Probability Models ◽  
Personality Psychology ◽  
Individual Personality ◽  
New Information ◽  
Deterministic Methods ◽  
Stable Family

Isites for the introduction of the fuzzyprobabilistic approach in the construction of mathematical models in personality psychology. The specificity of this field of psychology lies in the impossibility of constructing effective mathematical models by deterministic methods, including statistical ones. The fact is that statistical methods are intended for processing a variety of initial data and are used successfully in social psychology, which describes the trends of a certain phenomenon of a group of people «in general and in the middle», but are not applicable to an individual personality. The main position of the authors is the need to use the knowledge and experience of highly qualified specialistspsychologists who practice direct counseling of clients to solve personal psychological problems. The proposed apparatus for constructing fuzzy probability models is presented in the form of an algorithm that describes all the necessary steps – from working with an expert to interpreting models and using them to obtain qualitatively new information about the client's psychological state. The application of the fuzzyprobability approach is illustrated by the example of the synthesis of a mathematical model for assessing and predicting the psychological state of a woman's readiness to create a stable family

An activity vigilance system for elderly based on fuzzy probability transformations

2019 ◽  
Vol 36 (3) ◽  
pp. 2481-2494 ◽  
Author(s):  
Prateek Pandey ◽  
Ratnesh Litoriya
Keyword(s):  
Fuzzy Probability
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