scholarly journals Fuzzy Model for Risk Assessment of Machinery Failures

Symmetry ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 525 ◽  
Author(s):  
Dejan V. Petrović ◽  
Miloš Tanasijević ◽  
Saša Stojadinović ◽  
Jelena Ivaz ◽  
Pavle Stojković
Keyword(s):  
Risk Assessment ◽  
Fuzzy Logic ◽  
Fuzzy Sets ◽  
Fuzzy Inference ◽  
Mining Industry ◽  
Fuzzy Model ◽  
Assessment Model ◽  
Risk Level ◽  
Engineering System ◽  
Risk Assessment Model

The main goal of this research was the development of an algorithm for the implementation of negative risk parameters in a synthesis model for a risk level assessment for a specific machine used in the mining industry. Fuzzy sets and fuzzy logic theory, in combination with statistical methods, were applied to analyze the time picture state of the observed machine. Fuzzy logic is presented through fuzzy proposition and a fuzzy composition module. Using these tools, the symmetric position of the fuzzy sets with regard to class was used, and the symmetric fuzzy inference approach was used in an outcome calculation. The main benefit of the proposed model is being able to use numerical and linguistic data in a risk assessment model. The proposed risk assessment model, using fuzzy logic conclusions and min–max composition, was used on a mobile crushing machine. The results indicated that the risk level of the mobile crushing machine was in the “high” category, which means that it is necessary to introduce maintenance policies based on this high risk. The proposed risk assessment model is useful for any engineering system.

scholarly journals Risk assessment model of investment business process in the forest industry

2020 ◽  
pp. 271-278
Author(s):  
Л.А. Чудовская ◽  
С.М. Галилеев ◽  
М.М. Галилеев
Keyword(s):  
Risk Assessment ◽  
Fuzzy Logic ◽  
Business Process ◽  
Assessment Model ◽  
Investment Efficiency ◽  
Risk Assessment Model ◽  
Timber Industry ◽  
Current State ◽  
State Of The Economy ◽  
Matlab Package

Рассмотрена оценка инвестиционного бизнес-процесса в отрасли лесопромышленного комплекса с помощью аппарата нечеткой логики. Модель позволяет оптимизировать работу транспортных узлов лесного комплекса, работу деревообрабатывающих предприятий, леспромхозов с точки зренияэффективности вложения инвестиций в условиях неопределенности современного состояния экономики. Рассмотрена модель оценки риска как задачи линейного программирования в нечеткой постановке. Использованы построенные функции принадлежности - треугольные и гауссовы на основе экспертных оценок. При решении задачи использован пакет MatLab с Toolbox Fuzzy Logic и метод Балаша. Полученные результаты показали работоспособность предлагаемой модели и возможность использования ее в различных отраслях лесопромышленного комплекса к оценке риска инвестиционного бизнес-процесса. The article considers the evaluation of the investment business process in the timber industry using fuzzy logic. The model makes it possible to optimize the operation of transport nodes of the forest complex, the work of woodworking enterprises, forestry enterprises in terms of investment efficiency in the conditions of uncertainty of the current state of the economy. The risk assessment model is considered as a linear programming problem in a fuzzy formulation. The constructed membership functions - triangular and Gaussian-based on expert estimates are used. The MatLab package with Toolbox Fuzzy Logic and the Balash method were used to solve the problem. The results obtained showed the efficiency of the proposed model and the possibility of using it in various sectors of the timber industry to assess the risk of investment business process.

scholarly journals Risk factors, risk assessment, and prognosis in patients with gynecological cancer and thromboembolism

2019 ◽  
Vol 48 (4) ◽  
pp. 030006051989317
Author(s):  
Xindan Wang ◽  
Jing Huang ◽  
Zhao Bingbing ◽  
Shape Li ◽  
Li Li
Keyword(s):  
Risk Assessment ◽  
Gynecological Cancer ◽  
Area Under The Curve ◽  
Assessment Model ◽  
Receiver Operating Curve ◽  
Risk Level ◽  
Control Group ◽  
Risk Assessment Model ◽  
Vein Thrombosis ◽  
Risk Assessment Models

Objective This study aimed to investigate a suitable risk assessment model to predict deep vein thrombosis (DVT) in patients with gynecological cancer. Methods Data from 212 patients with gynecological cancer in the Affiliated Tumor Hospital of Guangxi Medical University were retrospectively analyzed. Patients were risk-stratified with three different risk assessment models individually, including the Caprini model, Wells DVT model, and Khorana model. Results The difference in risk level evaluated by the Caprini model was not different between the DVT and control groups. However, the DVT group had a significantly higher risk level than the control group with the Wells DVT or Khorana model. The Wells DVT model was more effective for stratifying patients in the DVT group into the higher risk level and for stratifying those in the control group into the lower risk level. Receiver operating curve analysis showed that the area under the curve of the Wells DVT, Khorana, and Caprini models was 0.995 ± 0.002, 0.642 ± 0.038, and 0.567 ± 0.039, respectively. Conclusion The Wells DVT model is the most suitable risk assessment model for predicting DVT. Clinicians could also combine the Caprini and Wells DVT models to effectively identify high-risk patients and eliminate patients without DVT.

Improving risk assessment model of cyber security using fuzzy logic inference system

2018 ◽  
Vol 74 ◽  
pp. 323-339 ◽  
Author(s):  
Mansour Alali ◽  
Ahmad Almogren ◽  
Mohammad Mehedi Hassan ◽  
Iehab A.L. Rassan ◽  
Md Zakirul Alam Bhuiyan
Keyword(s):  
Risk Assessment ◽  
Fuzzy Logic ◽  
Cyber Security ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Inference System ◽  
Fuzzy Logic Inference ◽  
Logic Inference

Risk assessment model of mining equipment failure based on fuzzy logic

2014 ◽  
Vol 41 (18) ◽  
pp. 8157-8164 ◽  
Author(s):  
Dejan V. Petrović ◽  
Miloš Tanasijević ◽  
Vitomir Milić ◽  
Nikola Lilić ◽  
Saša Stojadinović ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Fuzzy Logic ◽  
Assessment Model ◽  
Equipment Failure ◽  
Risk Assessment Model ◽  
Mining Equipment

scholarly journals DFAHP MULTICRITERIA RISK ASSESSMENT MODEL FOR REDEVELOPING DERELICT PUBLIC BUILDINGS

2013 ◽  
Vol 17 (4) ◽  
pp. 333-346 ◽  
Author(s):  
Sung-Lin Hsueh ◽  
Jen-Rong Lee ◽  
Yu-Lung Chen
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Fuzzy Logic ◽  
Delphi Method ◽  
Assessment Method ◽  
Assessment Model ◽  
Sustainable Urban Development ◽  
Risk Assessment Model ◽  
City Development ◽  
Public Buildings

Reusing abandoned public buildings is a positive strategy in sustainable urban development. An appropriate assessment method is needed to reduce the risks of redeveloping derelict public properties. The Delphi method is an optimal group decision-making technique; whereas the analytical hierarchy process (AHP) method is useful for solving multicriteria decision-making problems. In addition, fuzzy logic manages artificial uncertainty and ambiguity, where an explicit number or ratio can express the level of preference. This study uses the Delphi method, fuzzy logic, and AHP (DFAHP) as a risk assessment model to redevelop derelict public buildings. The DFAHP provides an objective reference for investment decisions and is beneficial in reducing the risk of the public sector investing in the reuse of abandoned public buildings, in aiding in reuse cases that revitalize urban economic development, and in appreciating the value of sustainable city development.

scholarly journals Water Quality Pollutants and Health Risk assessment for Four Different Drinking Water Sources

2019 ◽  
Vol 78 ◽  
pp. 03004
Author(s):  
Miaomiao Tian ◽  
Wenzhao Li ◽  
Meijuan Ruan ◽  
Jing Wei ◽  
Weiwei Ma
Keyword(s):  
Water Quality ◽  
Risk Assessment ◽  
Drinking Water ◽  
Health Risk ◽  
Health Risk Assessment ◽  
Rural Areas ◽  
Assessment Model ◽  
Risk Level ◽  
Risk Assessment Model ◽  
Acceptable Risk

Drinking water quality has become a great concern to the whole society, especially in heavily polluted rural areas. This paper analyzes the water quality of 100 water supping the US Environmental Protection Agency's (USEPA) recommended health risk assessment model. The results showed that the microbial indicators exceeded the standard in the whole year, and some of the water supply units which lead, nitrated and dissolved solids exceeding the standard. The model recommended by EPA is applied to establish risk assessment model for health risk assessment of adults in wet and dry seasons, respectively. Results of HRA indicated that carcinogenic risk of chromium was 7.61E-05a-1 and the risk value of arsenic was 9.92E-06a-1 which exceed the maximum acceptable risk level recommended by USEPA 5.0×10-5 closely to the ICPR recommendation 1.0×10-6. Meanwhile we conduct health risk assessment (HRA) on relevant non-carcinogenic indicators: nitrate is 2.95E-09a-1, the risk value of fluoride (F) is 2.49E-09a-1, the risk value of lead is 2.39E-09a-1 and copper (Cu) 9.00E-10a-1 exceeds the maximum acceptable risk level risk value recommended by USEPA 1.0×10-9. The above indicators require priority control and management of pollutants that are prioritized and managed.

scholarly journals Risk Assessment of Nautical Navigational Environment Based on Grey Fixed Weight Cluster

2017 ◽  
Vol 29 (3) ◽  
pp. 331-342 ◽  
Author(s):  
Yanfei Tian ◽  
Xuecheng Sun ◽  
Lijia Chen ◽  
Liwen Huang
Keyword(s):  
Risk Assessment ◽  
Risk Evaluation ◽  
Assessment Model ◽  
Risk Level ◽  
Weight Functions ◽  
Risk Assessment Model ◽  
Membership Degree ◽  
Fixed Weight ◽  
Qiongzhou Strait ◽  
Set Up

In order to set up a mathematical model suitable for nautical navigational environment risk evaluation and systematically master the navigational environment risk characteristics of the Qiongzhou Strait in a quantitative way, a risk assessment model with approach steps is set up based on the grey fixed weight cluster (GFWC). The evaluation index system is structured scientifically through both literature review and expert investigation. The relative weight of each index is designed to be obtained via fuzzy analytic hierarchy process (FAHP); Index membership degree of every grey class is proposed to be achieved by fuzzy statistics (FS) to avoid the difficulty of building whiten weight functions. By using the model, nautical navigational environment risk of the Qiongzhou Strait is determined at a “moderate” level according to the principle of maximum membership degree. The comprehensive risk evaluation of the Qiongzhou Strait nautical navigational environment can provide theoretical reference for implementing targeted risk control measures. It shows that the constructed GFWC risk assessment model as well as the presented steps are workable in case of incomplete information. The proposed strategy can excavate the collected experts’ knowledge mathematically, quantify the weight of each index and risk level, and finally lead to a comprehensive risk evaluation result. Besides, the adoptions of probability and statistic theory, fuzzy theory, aiming at solving the bottlenecks in case of uncertainty, will give the model a better adaptability and executability.

scholarly journals Technology for risk assessment at product lifecycle stages using fuzzy logic

2020 ◽  
Vol 8 (6) ◽  
pp. 167-183
Author(s):  
A. N. Chesalin ◽  
S. Ya. Grodzenskiy ◽  
Pham Van Tu ◽  
M. Yu. Nilov ◽  
A. N. Agafonov
Keyword(s):  
Risk Assessment ◽  
Fuzzy Logic ◽  
Risk Analysis ◽  
Product Life Cycle ◽  
Fuzzy Inference ◽  
Statistical Information ◽  
Assessment System ◽  
Assessment Model ◽  
National Standard ◽  
Expert Assessments

The problem of risk assessment at the stages of the product life cycle using both qualitative and quantitative approaches is investigated, and a generalized algorithm for selecting a fuzzy risk assessment model with different input data and system requirements is proposed for the effective use of statistical information and expert assessments. The "risk-based approach" allows to reduce the cost of correcting possible errors in the future and reduce the uncertainty when performing subsequent actions. It is noted that the results of SWOT analysis, as a rule, are of a qualitative descriptive nature, and do not contain specific recommendations. The provisions of modern standards on risk analysis are analyzed and the classification of risk analysis methods is given in accordance with the provisions of the national standard GOST R 58771-2019 "Risk management. Technologies for risk assessment", in which the key is the concept of uncertainty, estimated using different scales of gradation of risk damage and probability of its occurrence. An approach based on fuzzy logic and a hybrid fuzzy neural network model is proposed, which allows to present the used criteria in a con-venient form and implement a logical conclusion using simple and visual production rules. At the same time, the effectiveness and accuracy of the developed risk assessment system based on fuzzy logic is mainly determined by the quality of expert information and the consistency of the methods used to obtain it. To improve the accuracy of the results, it is proposed to use collective expert estimates with subsequent analysis of the consistency of the obtained expert estimates by determining the coefficients of variation, rank correlation, concordation, and so on. A generalized algorithm of expert assessment is presented, which is recommended to follow when developing expert systems for risk analysis. Various models of fuzzy inference (Mamdani, Takagi-Sugeno, hybrid neuro-fuzzy inference) are considered. An algorithm for constructing a fuzzy risk analysis system based on an effective method for obtaining expert assessments and analyzing statistical information is proposed. It is suggested that if there is a priori information about previously occurred events that can be used for risk analysis and fore casting, the fuzzy conclusion should be refined using widely known methods of mathematical statistics, optimization algorithms, for example, gradient descent, simplex method or genetic algorithms. An example of developing a risk assessment system when an enterprise enters into contracts with both the customer and co-executors is given.

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