scholarly journals The Risk Priority Number Evaluation of FMEA Analysis Based on Random Uncertainty and Fuzzy Uncertainty

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Xiaojun Wu ◽  
Jing Wu
Keyword(s):  
Evaluation Method ◽  
Fuzzy Theory ◽  
Integrated Model ◽  
Risk Priority Number ◽  
Fuzzy Uncertainty ◽  
Time Dynamic ◽  
Random Uncertainty ◽  
Term Evaluation ◽  
Fmea Analysis ◽  
Uncertainty Environment

The risk priority number (RPN) calculation method is one of the critical subjects of failure mode and effects analysis (FMEA) research. Recently, RPN research under a fuzzy uncertainty environment has become a hot topic. Accordingly, increasing studies have ignored the important impact of the random sampling uncertainty in the FMEA assessment. In this study, a fuzzy beta-binomial RPN evaluation method is proposed by integrating fuzzy theory, Bayesian statistical inference, and the beta-binomial distribution. This model can effectively realize real-time, dynamic, and long-term evaluation of RPN under the condition of continuous knowledge accumulation. The major contribution of the proposed model is to use the random uncertainty and fuzzy uncertainty in an integrated model and provide a Markov Chain Monte Carlo (MCMC) method to solve the complex integrated model. The study presented a case study, which presented how to apply this model in practice and indicated the significant influence on the measurement error caused by ignoring the random uncertainty caused by expert evaluation in RPN calculations.

scholarly journals A Multi-Attribute Decision Method under Uncertainty Environment Conditions—The Green Supplier Evaluation Perspective

2021 ◽  
Vol 18 (1) ◽  
pp. 344
Author(s):  
Hao Xu ◽  
Liuxin Chen ◽  
Qiongfang Li ◽  
Jianchao Yang
Keyword(s):  
Environmental Pollution ◽  
Evaluation Method ◽  
External Environment ◽  
Environmental Indicators ◽  
Supplier Evaluation ◽  
Uncertain Environment ◽  
Green Suppliers ◽  
Uncertainty Environment ◽  
Selection Of

Due to the continuous changes of political environment, consumption habits, technological progress and other factors, the external environment of enterprises is full of uncertainty. The turbulence of external environment is not conducive to the long-term operation and development of enterprises, but also brings great challenges to the selection of suppliers. This makes the competition of enterprises focus on how to choose long-term cooperation suppliers in the uncertain external environment. In addition, due to the deterioration of the global environment, governments pay more and more attention to environmental pollution, and consumers are more and more inclined to green consumption, which makes many companies pay more and more attention to environmental indicators when selecting suppliers. In the case of external environment turbulence and serious environmental pollution, the evaluation and selection of green suppliers in uncertain environment is particularly important for the long-term development of enterprises. What’s more, when the supplier’s capability gap is small, the decision-maker often hesitates among several suppliers. In this paper, the hesitant fuzzy is used to describe the hesitant psychology of decision-makers in selecting suppliers, the variance fluctuation is used to describe the characteristics of hesitant fuzzy numbers, and the probability is used to measure the uncertainty of the environment. A green supplier evaluation model under the uncertainty environment is proposed, which comprehensively evaluates the green suppliers under the uncertain environment. Furthermore, it is compared with other methods that do not consider the uncertainty and the adaptability of evaluation method and right confirmation method, so as to reflect the influence of uncertainty to green supplier evaluation and the importance of adaptability of evaluation method and right confirmation method.

Risk early warning management and intelligent real-time system of financial enterprises based on fuzzy theory

2020 ◽  
pp. 1-11
Author(s):  
Qiaoying Ding
Keyword(s):  
Real Time ◽  
Early Warning ◽  
Financial Risk ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Theory ◽  
Fuzzy Comprehensive Evaluation ◽  
Real Time System ◽  
Enterprise Risk ◽  
Early Warning Management

The financial market is changing rapidly. Since joining the WTO, our country’s financial companies have faced pressure from dual competition at domestic and abroad. The complex internal and external environment has forced financial enterprise managers to improve risk prevention awareness, early warning and monitoring, so as to responding to emergencies and challenges in the financial market. However, traditional forecasting and analysis methods have problems such as large workload, low efficiency, and low accuracy. Therefore, this article applies intelligent computing to the forecast of financial markets, using related concepts of fuzzy theory and Internet intelligent technology, and proposes to establish a model system for financial enterprise risk early warning management and intelligent real-time monitoring based on fuzzy theory. This article first collected a large amount of data through the literature investigation method, and made a systematic and complete introduction to the related theoretical concepts of fuzzy theory and financial risk early-warning management, has laid a sufficient theoretical foundation for the subsequent exploration of the application of fuzzy theory in financial enterprise risk early warning management and intelligent real-time systems; Then a fuzzy comprehensive evaluation method that combines the analytic hierarchy process and fuzzy evaluation method is proposed, taking a listed company mainly engaged in automobile sales in our province as a case, the company’s financial risk management and modeling experiment of the intelligent real-time system; Finally quoted specific cases again, used the fuzzy comprehensive evaluation method to carry out risk warning and evaluation on the PPP projects of private enterprises in our province, and concluded that the project risk score is between 20-60, which is meet the severe-medium range in the risk level. Research shows that the use of fuzzy theory and modern network technology can make more accurate warnings and assessments of potential and apparent risks of financial enterprises, greatly improving the safety of financial enterprise management and reducing the losses caused by various risks.

Fuzzy Comprehensive Evaluation of Water Quality Management Information System

2014 ◽  
Vol 1044-1045 ◽  
pp. 486-489
Author(s):  
Xin Wang ◽  
He Pan
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Theory ◽  
Water Quality Management ◽  
Water Environment ◽  
Prediction Method ◽  
Fuzzy Comprehensive Evaluation ◽  
Good Choice ◽  
Water Resources Protection ◽  
Set Up

Water environment assessment is a basic and important work of water resources protection. We set up a fuzzy comprehensive evaluation of water environment based on fuzzy theory and prediction method in this paper. The comprehensive assessment of water environmental quality relates to complicated phenomena and interaction of multi-factor of evaluation. There are plenty of fuzzy phenomena and fuzzy concepts, therefore, make quantitative processing by the comprehensive evaluation method of fuzzy is a good choice to get good results.

scholarly journals Safety Evaluation Method of Antifloating Anchor System Based on Comprehensive Weighting Method and Gray-Fuzzy Theory

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Li Jingwen ◽  
Qiao Jiangang ◽  
Dou Yuanming ◽  
Fu Xu ◽  
Liu Xiaoli
Keyword(s):  
Risk Factors ◽  
Evaluation Method ◽  
Fuzzy Theory ◽  
Underground Structure ◽  
Safety Evaluation ◽  
Evaluation Index System ◽  
Grey Theory ◽  
Entropy Weight ◽  
Weighting Method ◽  
Anchor System

The risk factors in the safety evaluation of antifloating anchor system of underground structure have the characteristics of complexity, grey, and fuzziness. Based on the Delphi method, analytic hierarchy process (AHP), and entropy weight method, this paper establishes a three-level evaluation index system based on four main risk factors and calculates the subjective and objective comprehensive weights of the index according to the comprehensive weighting method. It not only takes into account the valuable experience of the expert group but also reflects the objective impact of the subjective score on the system. On the basis of the above research, the grey-fuzzy safety evaluation method of antifloating anchor system is established by using the grey theory and the relevant theory of fuzzy mathematics. The reliability of the method is verified by an example, which has certain theoretical significance and application value.

Analysis of Security for Water Supply Network Based on the AHP Fuzzy Theory

2014 ◽  
Vol 1073-1076 ◽  
pp. 1023-1026
Author(s):  
Jiao Wang ◽  
Xin Zhang
Keyword(s):  
Water Supply ◽  
Evaluation System ◽  
Evaluation Method ◽  
Statistical Data ◽  
Fuzzy Theory ◽  
Security Evaluation ◽  
Supply Network ◽  
Urban Water Supply ◽  
Water Supply Network ◽  
Mathematical Evaluation

Fuzzy mathematical evaluation method, is mainly rely on experience to determine the membership function for data processing. The water supply network security evaluation system is established based on network historical statistical data. A reasonable evaluation of urban water supply network in shanxi has been carried in the application of AHP to determine the factor weight of fuzzy mathematics.

A Balance Ability Evaluation Method Based on Multidimension Passive Motion Excitement from 6-PSS Robot

2011 ◽  
Vol 128-129 ◽  
pp. 3-6
Author(s):  
Jin Zhuang Xiao ◽  
Xin Cai Yang ◽  
Hong Rui Wang ◽  
Kun Liu
Keyword(s):  
Evaluation Method ◽  
Force Plate ◽  
Settling Time ◽  
Reference Ranges ◽  
Motion Platform ◽  
Gravity Center ◽  
Time Dynamic ◽  
Balance Ability ◽  
Six Degree Of Freedom ◽  
Ability Evaluation

Focusing on personal balance ability evaluation, a method was developed to improve the dependency to many uncertainties, and to enhance veracity and objectivity, where impulse disturbance for human gravity center was produced by a six degree-of-freedom motion platform of 6-PSS under feet, and corresponding wave of gravity center was measured by a force plate real time. Dynamic process of overcoming this disturbance was abstracted as classic second-order linear model, where the product of damp coefficient and undammed circular frequency was estimated through recorded data based on system identification theory. By using this value, settling time was calculated and used as the balance evaluating index. Through the evaluating results of 103 students or graduate students, the feasibility of this method was validated, and reference ranges of healthy persons’ settling time were concluded for clinical balance evaluation.

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