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Journal articles on the topic 'Fuzzy applications in safety'

Author: Grafiati

Published: 6 September 2023

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1

Sharov, Valeriy, Pavel Polyakov, and Sergei Tolstykh. "Practical applications of fuzzy set theory in flight safety management." MATEC Web of Conferences 341 (2021): 00072. http://dx.doi.org/10.1051/matecconf/202134100072.

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Risk management is a core of Safety Management System (SMS) of airline. It works in high level of uncertainty and is dealing with variety of information which is fuzzy in nature. So the fuzzy set theory (FST) is natural instrument that should be applied for solving problems that SMS faced with. The article provides a brief overview of examples of the use of FST elements in safety risk management, presents the results of processing expert surveys using fuzzy methods, and describes the developed practical method for assessing the index of probability of an aviation event based on the fuzzy inference technology.

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2

Karwowski, Waldemar, and Anil Mital. "Potential applications of fuzzy sets in industrial safety engineering." Fuzzy Sets and Systems 19, no. 2 (June 1986): 105–20. http://dx.doi.org/10.1016/0165-0114(86)90031-x.

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3

Zhao, Xue Ping, and Shui Cheng Tian. "Research Review on the Value of Coalmine Safety Investment Based on Real Option." Applied Mechanics and Materials 522-524 (February 2014): 1447–51. http://dx.doi.org/10.4028/www.scientific.net/amm.522-524.1447.

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The paper focuses on coalmine safety investment, studies and summarizes theories of safety investment and real option. Based on real option applications on pricing, venture investment, investment decision, estimation and valuation, investment assessment and safety investment, it analyzes the problems in researches on coal mine safety investments and advantages of constructing pricing model that combined real option with fuzzy mathematics theory, and proposes research direction of incorporating fuzzy numbers into real option model.

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4

Islek, Canfer, and Ersin Ozdemir. "Design of a fuzzy safety margin derivation system for grip force control of robotic hand in precision grasp task." International Journal of Advanced Robotic Systems 18, no. 3 (May 1, 2021): 172988142110180. http://dx.doi.org/10.1177/17298814211018055.

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In this study, the aim was to grasp and lift an unknown object without causing any permanent change on its shape using a robotic hand. When people lift objects, they add extra force for safety above the minimum limit value of the grasp force. This extra force is expressed as the “safety margin” in the literature. In the conducted study, the safety margin is minimized and the grasp force was controlled. For this purpose, the safety margin performance of human beings for object grasping was measured by the developed system. The obtained data were assessed for a fuzzy logic controller (FLC), and the fuzzy safety margin derivation system (SMDS) was designed. In the literature, the safety margin rate was reported to vary between 10% and 40%. To be the basis for this study, in the experimental study conducted to measure the grip performance of humans, safety margin ratios ranging from 9% to 20% for different surface friction properties and different weights were obtained. As a result of performance tests performed in Matlab/Simulink environment of FLC presented in this study, safety margin ratios ranging from 8% to 21% for different surface friction properties and weights were obtained. It was observed that the results of the performance tests of the developed system were very close to the data of human performance. The results obtained demonstrate that the designed fuzzy SMDS can be used safely in the control of the grasp force for the precise grasping task of a robot hand.

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Wu, Lei, Gang Chen, Long Wu, and Wen Juan Zhang. "Application of Fuzzy Safety Evaluation Method in Automobile Enterprises." Applied Mechanics and Materials 722 (December 2014): 413–18. http://dx.doi.org/10.4028/www.scientific.net/amm.722.413.

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Fuzzy evaluation method is a comprehensive evaluation method based on fuzzy mathematics. It is widely used because of its characteristics for clear results and strong system, and it can solve the problem of fuzzy and difficult to quantify. This paper using an automobile enterprise as an example introduces the application of fuzzy safety evaluation method.

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6

Huang, Hongzhong. "MECHANICAL STRUCTURE BASED ON DEFINING FUZZY SAFETY STATE BY GENERALIZED FUZZY STRENGTH." Chinese Journal of Mechanical Engineering 37, no. 06 (2001): 106. http://dx.doi.org/10.3901/jme.2001.06.106.

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7

Shen, Gang, Dong Xiang, Nan Liu, Peng Mou, and Yong Yang. "Application of the Fuzzy-AHP Method in Bridge Crane Safety Evaluation." Applied Mechanics and Materials 496-500 (January 2014): 2788–94. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.2788.

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Hoisting machinery belongs to special machinery equipment and is gradually developing towards advanced technologies such as lightweight, energy conservation and safety reliability. Therefore objective evaluation for safety circumstances of bridge crane has major engineering significance. The fuzzy-AHP comprehensive evaluation model has been established by fuzzy evaluation method and analytic hierarchy process (AHP) method. In addition, application of the fuzzy-AHP method in bridge crane safety evaluation has been discussed. Firstly, the safety evaluation index system is established according to working environment, manufacturing technology and service condition of bridge crane. Secondly, weight coefficient is determined by AHP method and single stage fuzzy evaluation is processed. Based on this result, multi stage fuzzy comprehensive evaluation is conducted. Finally, the safety grade of bridge crane is obtained. Besides, fatigue test of relevant main girder model is conducted and the accuracy of safety evaluation based on the fuzzy-AHP method is verified through test results.

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8

Keller, A. Z., and C. Kara-Zaitri. "Further applications of fuzzy logic to reliability assessment and safety analysis." Microelectronics Reliability 29, no. 3 (January 1989): 399–404. http://dx.doi.org/10.1016/0026-2714(89)90627-6.

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9

Li, Bin, Li Lei, and Li Wei. "Application of Fuzzy Assessment Theory in Tower Crane Safety." Advanced Materials Research 383-390 (November 2011): 7657–62. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.7657.

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Tower crane belongs to high risk equipment in the construction site. Evaluating safety statement of tower crane is a subject of the technical field. The paper setups a new way to evaluate the safety statement of tower crane by means of fuzzy assessment theory. Membership functions have been established for describing the influencing factors of tower crane safety. Fuzzy comprehensive assessment model for evaluating tower crane safety statement has been established. Finally an example for illustrating the method of using the fuzzy comprehensive assessment to analyzing the tower crane safety statement.

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10

Liu, Bai Lin, Hui Yun Zou, and Xi Chen. "Applying Fuzzy Set in Elevator Safety Management Evaluation Method." Advanced Materials Research 710 (June 2013): 712–15. http://dx.doi.org/10.4028/www.scientific.net/amr.710.712.

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In order to solve low accuracy, human effects and complexity in elevator safety management evaluation, a method based on machine learning was proposed. The method adopts safety checklist to collect data of elevator safety related conditions, comprehensively considering the importance and influence of every factor, which influences the safety on the basis of the safety checklist analysis and fuzzy set. To complete the process of the risk assessment and evaluation, we use machine learning combined with maintenance knowledge of evaluation, which provide users with comprehensive and effective corrective measures and suggestions. Applications show that the method can find potential leak of elevator system management.

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11

Yan, Shan Yu, and Jin Ding. "Application of Underground Engineering Fire Safety Evaluation Based on the Fuzzy Comprehensive Evaluation Method." Advanced Materials Research 765-767 (September 2013): 307–10. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.307.

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In this paper, built fire control safety evaluation index system according to the underground engineering characteristics of fire and introduce a method to determine the weighing values for assessment index. Put fuzzy comprehensive assessment method on underground engineering of fire safety assessment, then use fuzzy mathematics theory build a model of engineering of fire safety assessment fuzzy evaluation, and through the underground engineering design of fire safety assessment, to prove its scientific and effective.

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12

Sii, H. S., J. Wang, T. Ruxton, J. B. Yang, and J. Liu. "Use of fuzzy logic approaches to safety assessment in maritime engineering applications." Journal of Marine Engineering & Technology 3, no. 2 (January 2004): 45–58. http://dx.doi.org/10.1080/20464177.2004.11020182.

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13

Kabir, Sohag, and Yiannis Papadopoulos. "A review of applications of fuzzy sets to safety and reliability engineering." International Journal of Approximate Reasoning 100 (September 2018): 29–55. http://dx.doi.org/10.1016/j.ijar.2018.05.005.

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14

Pen, Chin-Lin, Wen-Jer Chang, and Yann-Horng Lin. "Fuzzy Controller Design Approach for a Ship’s Dynamic Path Based on AIS Data with the Takagi–Sugeno Fuzzy Observer Model." Journal of Marine Science and Engineering 11, no. 6 (June 5, 2023): 1181. http://dx.doi.org/10.3390/jmse11061181.

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A fuzzy controller design approach is developed in this research for the control problem of a ship’s dynamic path based on automatic identification system (AIS) data. Over the past few decades, the equipment of AISs has been widely applied and mandated on ships. Based on the advantages of AIS data, various valuable applications have been proposed to improve safety problems. However, most of the applications depend on the precise control of the ship’s dynamic behavior. Because of this reason, a fuzzy controller design approach is proposed based on the Takagi–Sugeno fuzzy observer model in this research. Firstly, the ship’s dynamic behavior based on the discrete-time AIS data is estimated and represented by the mathematical model of the fuzzy observer. Based on the fuzzy observer model, a fuzzy controller design approach subject to variance constraint is developed to solve the problem of stochastic disturbance in estimation and control. In accordance with the different application aspects, this approach can not only be applied to improve the estimation performance of the fuzzy observer, but it can also be provided as a controller design scheme for the ship’s dynamic path using AISs data. Finally, simulation results of a group of real AIS data from Kaohsiung Port and the assumed Keelung Port AIS data are applied to verify the effectiveness of the designed fuzzy controller.

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15

Naumov, Vitalii, Natalia Vnukova, and Ganna Zhelnovach. "Neural networks applications for environmental safety assessment of roads in Ukraine." Budownictwo i Architektura 13, no. 1 (March 11, 2014): 339–47. http://dx.doi.org/10.35784/bud-arch.1951.

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The analysis of problems and of approaches for ensuring the environmental safety of roads in Ukraine has been performed. The proposed mathematical model on the basis of neural networks allows numerical evaluation of quality of road area in the conditions of incomplete and fuzzy information. The proposed approach allows the determination of roads’ environmental safety level, the indication of necessity for arrangement of environmental monitoring stations, and allows the development of a number of activities for environmental protection on the road sections as well.

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16

Xi, Ling Zhi, Yi Li, and Chang Zhou. "Design and Implement of the Urban Bridge Cluster Monitoring Online Assessment System." Applied Mechanics and Materials 351-352 (August 2013): 1298–301. http://dx.doi.org/10.4028/www.scientific.net/amm.351-352.1298.

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Bridge health monitoring system (BHMS) is a package of technologies for structural monitoring, control, maintenance and management. Making use of the fusion of technologies from different disciplines, such as sensing, communication, signal processing, system identification, etc., the system is empowered to simultaneously get all kinds of information which reflect the safety conditions of bridge structure, and provide scientific proof for the analysis of bridge health. The assessment method is the core of the BHMS. In the conventional assessment procedure, there is significant influence of subjective factors involved. A feasibility study on the use of fuzzy comprehensive evaluation method in the bridge condition assessment is presented in this paper. The applications of fuzzy mathematics in condition assessment of bridges were discussed. Based on the research of present methods, analytical hierarchy process and fuzzy mathematics were integrated and applied in condition assessment of the project of main roads bridge Online Safety Monitoring Management System in Hangzhou (Phase II), a web-based urban bridge cluster monitoring system have been established. From a continuous beam bridge case study, it is observed that the fuzzy comprehensive evaluation method is capable of simulating the bridge condition evaluation process and has a good application.

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17

Wang, Ya Jun, Wo Hua Zhang, Wei Liang Jin, Chang Yu Wu, and Da Chun Ren. "Safety Model Comprehensive Judgement Application for Dike Construction Risk Evaluation System Research." Advanced Materials Research 295-297 (July 2011): 2345–52. http://dx.doi.org/10.4028/www.scientific.net/amr.295-297.2345.

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Inclusive of the consideration for Solid-Liquid double phase character of dike construction, fuzzy comprehensive judgement system model was set up on the basis of Analytic Hierarchy Process as well as Fuzzy Consistency Theorem. With normal membership of fuzzy function, dike construction safety comprehensive judgement was realized by the help of weighted theorem that had been fabricated in the foregoing contents. With indirect theorem of model discrimination, generalized multi-dimension weighted fuzzy discriminating model was set up on the basis of fuzzy comprehensive evaluation. Furthermore, dike section system safety model discrimination for representative dike section was realized and sensitivity analysis for model system was carried out.

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18

Shi, Yan, and Zhenzhou Lu. "Novel fuzzy possibilistic safety degree measure model." Structural and Multidisciplinary Optimization 61, no. 2 (August 10, 2019): 437–56. http://dx.doi.org/10.1007/s00158-019-02365-w.

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19

Abbasi, F., and T. Allahviranloo. "Conception and Implementation of a New Data-Driven Fuzzy Method for Reliability and Safety Analysis." New Mathematics and Natural Computation 16, no. 02 (July 2020): 339–61. http://dx.doi.org/10.1142/s1793005720500210.

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In this paper, the probability of failure of the components is introduced as a new type of fuzzy number called Gaussian patchy fuzzy number to insert parameters’ uncertainty. The reason for the use of such fuzzy numbers is also due to their realistic estimation. Hence, in order to obtain a more accurate estimate of each failure occurrence and overall system reliability analysis, we assume that the fundamental events of fault tree are in the form of Gaussian patchy fuzzy number on [0, 1], and then, by applying the fuzzy transmission average (TA) [F. Abbasi, T. Allahviranloo and S. Abbasbandy, A new attitude coupled with fuzzy thinking to fuzzy rings and fields, Journal of Intelligent and Fuzzy Systems 29 (2015) 851–861.], we will model the reliability of the fuzzy system (especially the series and the parallel). Applying such fuzzy operations and numbers will lead to a more realistic analysis of the reliability of the fuzzy system. Finally, the proposed model has been used for the lack of satisfaction of the University’s administrative and financial assistant.

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20

Abbasi, F., and T. Allahviranloo. "Conception and Implementation of a New Data-Driven Fuzzy Method for Reliability and Safety Analysis." New Mathematics and Natural Computation 16, no. 03 (November 2020): 517–39. http://dx.doi.org/10.1142/s1793005720500313.

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In this paper, the probability of failure of the components is introduced as a new type of fuzzy numbers called Gaussian patchy fuzzy number to insert parameters’ uncertainty. The reason for the use of such fuzzy numbers is also due to their realistic estimation. Hence, in order to obtain a more accurate estimate of each failure occurrence and overall system reliability analysis, we assume that the fundamental events of fault tree are in the form of Gaussian patchy fuzzy number on [0, 1], and then, by applying the fuzzy transmission average (TA) [F. Abbasi, T. Allahviranloo and S. Abbasbandy, A new attitude coupled with fuzzy thinking to fuzzy rings and fields, Journal of Intelligent and Fuzzy Systems, 29 (2015) 851-861], we will model the reliability of the fuzzy system (especially the series and the parallel). Applying such fuzzy operations and numbers will lead to a more realistic analysis of the reliability of the fuzzy system. Finally, the proposed model has been used for the lack of satisfaction of the University’s administrative and financial assistant.

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21

Yang, Hai Ning. "The Application of Fuzzy Evaluation Method to Assess Safety Behavior of Xixia Reservoir Earthfill Dam." Applied Mechanics and Materials 212-213 (October 2012): 934–41. http://dx.doi.org/10.4028/www.scientific.net/amm.212-213.934.

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Based on the theories of Fuzzy Math and Analytic Hierarchy Process(AHP), combining the natural, social and economic characteristics of earthfill dam and adequately considering different factors or indexes imposed on the safe operation of earthfill dam, the comprehensive safety assessment of earthfill dam through using multi-stratum fuzzy evaluation has been established. Furthermore, the safety assessment indexes, the theory of assessment, comprehensive weighting coefficient matrix and resolution methods are also established. From the practical measurement of Xixia reservoir earthfill dam, multi-stratum fuzzy evaluation method which is used to assess the comprehensive safety is reasonable and practical.

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22

Zhang, Ye Min, and Yue Xu. "Application of Fuzzy Mathematics and Comprehensive Assessment in Campus Architecture Safety Assessment." Applied Mechanics and Materials 99-100 (September 2011): 190–94. http://dx.doi.org/10.4028/www.scientific.net/amm.99-100.190.

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This article introduces fuzzy mathematics and comprehensive assessment in campus architecture safety assessment, this method can help to make an effective multi-factor decision in campus architecture safety assessment, making the assessment result more objective, rational and effective. Dalian jiaotong university comprehensive teaching building which finished in Port of Lushun campus is selected at the end of the article to explain the whole process of the application of fuzzy mathematics and comprehensive assessment in campus architecture safety assessment.

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23

Kowalewski, Tomasz, Antoni Podsiadło, and Wiesław Tarełko. "Application of fuzzy inference to assessment of degree of hazard to ship power plant operator." Polish Maritime Research 14, no. 3 (July 1, 2007): 7–14. http://dx.doi.org/10.2478/v10012-007-0012-2.

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Application of fuzzy inference to assessment of degree of hazard to ship power plant operator This paper presents application of fuzzy logic to assessment of degree of hazard to ship power plant operator. For the assessment a system of computer-aided identification of hazardous zone within ship power plant, was used. The system's variables representing the subject-matter knowledge in safety design area were transformed into fuzzy sets by means of appropriate linguistic variables and membership functions. The assessing of safety level of operator with the use of fuzzy inference was performed by means of an expert system programmed in the PROLOG LPA language.

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24

Chen, Li-Shan. "Application of RFID and Neuro-Fuzzy to safety learning." Journal of Statistics and Management Systems 13, no. 4 (July 2010): 713–23. http://dx.doi.org/10.1080/09720510.2010.10701498.

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25

Zurada, J., A. L. Wright, and J. H. Graham. "A neuro-fuzzy approach for robot system safety." IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) 31, no. 1 (2001): 49–64. http://dx.doi.org/10.1109/5326.923268.

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26

Tong, Yong Xing, Zhen Zhou, Yong Qing Jiang, and De Zhong Ma. "The Application of Fuzzy Comprehensive Evaluation Method in Mine." Advanced Materials Research 933 (May 2014): 757–61. http://dx.doi.org/10.4028/www.scientific.net/amr.933.757.

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Mine is a high-risk industry and the security will have a direct impact on its reputation, economic and employees survival. In recent years, frequent coal mine accidents have caused enormous social and economic losses. Conducted scientifically and systematically, safety can eliminate harmful risk factors, reduce the occurrence of the accident and improve the security of enterprise management level. So, it is especially important to safety evaluation for the coal industry. There are many risk factors in the production process of coal mine and the factors analysis is the premise of safety evaluation. Researchers evaluated the safety status of mine by fuzzy comprehensive evaluation measure. The study was discussed on the main five factors, including personnel of condition, environmental factors, security management, coal comprehensive conditions and emergency rescue system. Establishing eighteen single factor index layer and getting the index weight values by fuzzy analytic hierarchy. Using the expert evaluation method for the 18 single factors and drawing their membership vector. Finally, combing the evaluation index and weights, it can get a general level to a coal mine in Heilongjiang by fuzzy comprehensive evaluation. Finally, analyzing the practical of this method and give some advises to these analysis results.

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27

Yang, Zong-Xiao, Lei Song, Chun-Yang Zhang, Chong Li, and Xiao-Bo Yuan. "Mathematical Safety Assessment Approaches for Thermal Power Plants." Mathematical Problems in Engineering 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/864682.

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How to use system analysis methods to identify the hazards in the industrialized process, working environment, and production management for complex industrial processes, such as thermal power plants, is one of the challenges in the systems engineering. A mathematical system safety assessment model is proposed for thermal power plants in this paper by integrating fuzzy analytical hierarchy process, set pair analysis, and system functionality analysis. In the basis of those, the key factors influencing the thermal power plant safety are analyzed. The influence factors are determined based on fuzzy analytical hierarchy process. The connection degree among the factors is obtained by set pair analysis. The system safety preponderant function is constructed through system functionality analysis for inherence properties and nonlinear influence. The decision analysis system is developed by using active server page technology, web resource integration, and cross-platform capabilities for applications to the industrialized process. The availability of proposed safety assessment approach is verified by using an actual thermal power plant, which has improved the enforceability and predictability in enterprise safety assessment.

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28

Li, Ming, Xue Feng Yu, and Yuan Dong Wei. "Application of Fuzzy Recognition Model for the Diversion Structures Safety Evaluation at Small Hydropower Stations." Applied Mechanics and Materials 687-691 (November 2014): 3686–90. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.3686.

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In this passage is about the safety evaluation on the conveyance structure of small hydroelectric power station. Applying Binary comparative indicators to determine the weights and fuzzy recognition model on the conveyance structure of small hydroelectric power station’s assessment. Compared other models with fuzzy recognition model which will be explained in detail in the next section on a specific small hydropower station. The results show that the fuzzy recognition model is feasible and effective on safety evaluation on the conveyance structure of the hydroelectric power station.

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29

Vázquez, Daniel, Rubén Ruiz-Femenia, and José A. Caballero. "OFISI, a novel optimizable inherent safety index based on fuzzy logic." Computers & Chemical Engineering 129 (October 2019): 106526. http://dx.doi.org/10.1016/j.compchemeng.2019.106526.

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30

Wu, Chang-Tzuoh. "Explore a fuzzy based design evaluation for safety syringe innovative design." Engineering Computations 33, no. 6 (August 1, 2016): 1705–13. http://dx.doi.org/10.1108/ec-08-2015-0238.

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Purpose – Abuse and reuse of syringes will let nursing professionals suffer serious risk of cross-infection of diseases. The purpose of this paper is to propose a flexible and extensible innovative design approach of single-use safety syringe. Besides, the evaluation procedure for syringe has also been developed. Design/methodology/approach – By using the innovative design processes, based on the Su-Field model and extension method, this study presents designing of a new single-use safety syringe incorporating features and discarding problems. Findings – The solution of design problem indicated that the substance “fingers grip cap” should be replaced. The advantages and disadvantages of proposed new designs of safety syringe as well as the perceived differences on the use of the safety syringes can be found out by using Focus Group Interview method. Research limitations/implications – This research focussed on the function innovation without considering the psychology effect, such as shape aesthetics and users’ emotion. Practical implications – The single-use safety syringe design and corresponding examples are adopted to explain the design processes and confirm the feasibility of the proposed approach. Originality/value – This paper proposes a flexible and extensible innovative design approach of single-use safety syringe which is seldom studied. Importance and emergency of safety syringe design cannot be overemphasized.

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31

Gucma, Lucjan, and Zbigniew Pietrzykowski. "Ship Manoeuvring in Restricted Areas: An Attempt to Quantify Dangerous Situations Using a Probabilistic-Fuzzy Method." Journal of Navigation 59, no. 2 (April 6, 2006): 251–62. http://dx.doi.org/10.1017/s037346330600364x.

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This paper presents a practical application of the probabilistic-fuzzy method for assessment of the safety of a ship manoeuvring in waterways. The method, based on probabilistic risk analysis and elements of fuzzy logic, takes into account situations of threatened navigational safety and situations when a navigator intuitively thinks that the safety of manoeuvring ship is threatened. The probability of grounding a ship manoeuvring in a waterway bend is determined by means of simulation method. Then, with the use of experts' knowledge and tools of fuzzy logic the probability of a dangerous situation is determined. Two different approaches are applied for the determination of that probability. The results are compared.

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Mondal, Sankar Prasad. "Differential equation with interval valued fuzzy number and its applications." International Journal of System Assurance Engineering and Management 7, no. 3 (May 18, 2016): 370–86. http://dx.doi.org/10.1007/s13198-016-0474-7.

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33

Lashin, Maha M. A., and Wafaa Salah Eldin Shoukry Saleh. "Road Safety Policies for Saudi Females: A Fuzzy Logic Analysis." Sustainability 14, no. 7 (March 31, 2022): 4154. http://dx.doi.org/10.3390/su14074154.

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Perceptions, attitudes and anticipated behavior represent very useful information for decision and policy makers before they implement proposed new policies. Road safety is one of the most critical fields in the built environment. In the Kingdom of Saudi Arabia, women started driving in 2019. There is a huge shortage of studies that investigate users’ attitudes and behavior, particularly women, in Saudi Arabia. It is very timely therefore, to assess their perceptions, attitudes and raise their awareness towards road safety. In this paper, the perceptions and attitudes towards road safety and relevant policies and programs were assessed and compared using two approaches: analytical and a fuzzy logic system. By means of a questionnaire, a total of 17 road safety policies, including engineering, enforcement programs, education programs and legislation programs, were presented to the participants and assessed. These policies were assessed from the viewpoint of Saudi women. The engineering policies included the use of road signs and marking, improving road network alignment, monitoring driver speed and engineering speed reduction measures. The assessment was in terms of the usefulness of the policies to reduce traffic accidents and improve road safety in Riyadh. A total of 375 participants were surveyed. Using a Likert scale response system to report the Saudi female participants’ opinions, two sets of indices were calibrated to evaluate the perceived usefulness and acceptability of the safety policies. A MATLAB simulation of a fuzzy logic system was utilized to assess, investigate and compare travel attitudes and perceptions of road safety. The results indicate overall encouragement for the safety programs and policies by the participants. Most of the support seems to be for the engineering program. The physical presence of traffic police was observed to have scored the highest. This is an interesting result that shows that enforcement policies are still perceived to be the most effective. In this category, the policy of enforcing speed limits showed high support, amongst the other policies. While a fuzzy logic analysis is typically used in hard engineering assessments and investigations, such as mechanical engineering and system design applications, the results obtained in this investigation show that the efficacy and adequacy of the proposed fuzzy logic control system in assessing attitudinal data was sufficiently good to be recommended for future research. The outcomes from both sets of approaches, the analytical and the fuzzy logic, showed comparable results, which also demonstrates the potential benefits of using the fuzzy system in many attitudinal and behavioral studies.

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Liu, Lian Sheng, Guang Quan Zhang, and Hui Wu. "The Application of Safety Evaluation in Coal Mine Heading Face Based on Fuzzy-AHP Comprehensive Evaluation Method." Advanced Materials Research 304 (July 2011): 401–6. http://dx.doi.org/10.4028/www.scientific.net/amr.304.401.

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For the safety of coal production, established safety evaluation model of heading face in coal mine. The evaluation indexes were given by analyzing the need for safety in heading face, the evaluation model was set based on Fuzzy-AHP comprehensive evaluation method, and completed the comprehensive evaluation by using membership. The results showed that Fuzzy-AHP comprehensive evaluation was an effective method which can not only solve complexity and multi-level of the index, but also made the evaluation more accurate, which had theoretical and practical value.

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35

Möller, Bernd, Wolfgang Graf, and Michael Beer. "Safety assessment of structures in view of fuzzy randomness." Computers & Structures 81, no. 15 (July 2003): 1567–82. http://dx.doi.org/10.1016/s0045-7949(03)00147-0.

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36

Piasecki, Krzysztof. "On Imprecise Investment Recommendations." Studies in Logic, Grammar and Rhetoric 37, no. 1 (August 8, 2014): 179–94. http://dx.doi.org/10.2478/slgr-2014-0024.

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Abstract The return rate is considered here as a fuzzy probabilistic set. Then the expected return is obtained as a fuzzy subset in the real line. This result is a theoretical foundation for new investment strategies. All considered strategies result of comparison profit fuzzy index and limit value. In this way we obtain an imprecise investment recommendation. Financial equilibrium criteria are a special case of comparison of the profit index and the limit value. The following criteria are generalized here: the Sharpe's Ratio, the Jensen's Alpha and the Treynor's Ratio. Moreover, the safety-first criteria are generalized here for the fuzzy case. The Roy Criterion, the Kataoka Criterion and the Telser Criterion are also generalized. Obtained results show that proposed theory is useful for the investment applications.

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37

Saravanakumar, D., and B. Mohan. "Fuzzy Based Control System for Interconnected Pneumatic Cylinder Linear Positioning System." Applied Mechanics and Materials 592-594 (July 2014): 2145–49. http://dx.doi.org/10.4028/www.scientific.net/amm.592-594.2145.

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Pneumatic drives have many advantages over other actuators in terms of efficiency and safety which enable them to be used in many applications. In the present study, a new method of position manipulator with two pneumatic cylinders which are interconnected has been presented. Nonlinear mathematical model of the system has been formulated. Using Matlab-Simulink software, the system has been simulated. Fuzzy based control system has been designed for the system. From the various responses and indices it is observed that the fuzzy based control system has better performance than PID based control system. Also it is observed that the system with fuzzy controller has better setpoint tracking characteristics.

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Max, Ndoumbé Matéké, Nyobe Yomé Jean Maurice, Eke Samuel, Mouné Cédric Jordan, Alain Biboum, and Bitjoka Laurent. "DTC with fuzzy logic for multi-machine systems: traction applications." International Journal of Power Electronics and Drive Systems (IJPEDS) 12, no. 4 (December 1, 2021): 2044. http://dx.doi.org/10.11591/ijpeds.v12.i4.pp2044-2058.

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In this work, a direct torque control (DTC) method for multi-machine systems is applied to electric vehicles (EVs). Initially, the DTC control method associated with the model reference adaptive system (MRAS) is used for speed control, and management of the magnetic quantities is ensured by the variable master-slave control (VMSC). In order to increase the technical performance of the studied system, a DTC method has been associated with a fuzzy logic approach. These two control methods are applied to the traction chain of an electric vehicle to highlight its speed, precision, stability, and robustness metric during particular stress tests imposed on the wheel motor. The results obtained in MATLAB/Simulink software made feasible a comparison of two proposed methods based on their technical performances. It should be noted that the direct fuzzy logic torque control (DFTC) has better performance than the DTC associated with the MRAS system as a rise time reduction of 1.4%, an oscillation of torque, and flux amplitude of less than 9%, static steady-state error near zero. The DTFC control method responds favorably to electric vehicle traction chain systems by the nature of the comfort and safety provided.

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Zhao, Yifei, Rui Qiu, Min Chen, and Shan Xiao. "Research on Operational Safety Risk Assessment Method for Long and Large Highway Tunnels Based on FAHP and SPA." Applied Sciences 13, no. 16 (August 11, 2023): 9151. http://dx.doi.org/10.3390/app13169151.

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Compared to the construction phase, the assessment of tunnel safety risks during the operational stage has not been thoroughly conducted, and the related research work is relatively lagging. To deepen the research and application of theoretical methods for assessing operational tunnel safety risks, and to improve the level of hazard investigation and prevention in long and large highway tunnels, this paper establishes a tunnel section assessment index system from four perspectives: tunnel condition, traffic characteristics, operational environment, and operational management. A combined qualitative and quantitative approach is employed, and a practical classification standard for the indicators is proposed. Based on the traditional Analytic Hierarchy Process (AHP) and fuzzy analysis theory, a new form of questionnaire survey, known as the expert system analysis method, is introduced to collect expert opinions. A novel approach for determining fuzzy numbers based on expert opinions is proposed. Consequently, a combined model for assessing operational tunnel safety risks in long and large highways is established by integrating the Fuzzy Analytic Hierarchy Process (FAHP) and the Set Pair Analysis (SPA). This model effectively combines subjective weighting with objective evaluation, thereby enhancing the accuracy of operational tunnel safety risk assessment for long and large highways. The safety risks of three long and large tunnels within the G1523 Yongguan Expressway were assessed using the evaluation method proposed in this paper. A comparative analysis was conducted between the results obtained using the proposed Fuzzy Analytic Hierarchy Process (FAHP) and Set Pair Analysis (SPA) method and the traditional Analytic Hierarchy Process (AHP) evaluation. The results indicate that the operational tunnel safety risk assessment method based on FAHP and SPA exhibits greater rationality and accuracy compared to the traditional AHP approach.

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Guo, Qi Feng, Fen Hua Ren, Sheng Jun Miao, and Xin Chen. "Application of Fuzzy Comprehensive Evaluation in Stope Structural Parameters Optimization." Applied Mechanics and Materials 256-259 (December 2012): 271–75. http://dx.doi.org/10.4028/www.scientific.net/amm.256-259.271.

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Alternate Room-Pillar Mining Method with Ascending Backfill is now used in deep mining of Sanshandao Gold Mine. In mining practice of the metal mines, the widths of the room and pillar vary from 6m to 15m. In order to improve the production capacity and solve the deep mining safety problems, a fuzzy optimization model containing 11 evaluation indexes was built to choose the optimal structural parameters among 8m×8m, 8m×10m, 10m×10m, 10m×12m and 12m×12m. The fuzzy comprehensive evaluation results prove that the optimal stope structural parameter is 10m×10m for safety and high efficiency mine operation.

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Lu, Li Li, Gang Ren, and Li Ming Lu. "Safety Assessment Model for Expressway Based on Accident Mechanism." Advanced Materials Research 1030-1032 (September 2014): 2110–14. http://dx.doi.org/10.4028/www.scientific.net/amr.1030-1032.2110.

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It is of great significance to enhance freeway safety. This paper analyzed the factors affecting freeway safety systematically. Analytic hierarchy process (AHP) and fuzzy comprehensive evaluation (FCE) were applied to develop a freeway safety evaluation model. This model has a practical application on evaluate freeway safety level.

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Zhang, Xiuxia, Qingnian Zhang, Jie Yang, Zhe Cong, Jing Luo, and Huanwan Chen. "Safety Risk Analysis of Unmanned Ships in Inland Rivers Based on a Fuzzy Bayesian Network." Journal of Advanced Transportation 2019 (December 19, 2019): 1–15. http://dx.doi.org/10.1155/2019/4057195.

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Risk factor identification is the basis for risk assessment. To quantify the safety risks of unmanned vessels in inland rivers, through analysis of previous studies, the safety risk impact factor framework of unmanned vessels in inland rivers is established based on three aspects: the ship aspect, the environmental aspect, and the management and control aspect. Relying on Yangtze River, a fuzzy Bayesian network of the sailing safety risk of unmanned ships in inland rivers is constructed. The proposed safety risk model has considered different operational and environmental factors that affect shipping operations. Based on the fuzzy set theory, historical data, and expert judgments and on previous works are used to estimate the base value (prior values) of various risk factors. The case study assessed the safety risk probabilities of unmanned vessels in Yangtze River. By running uncertainty and sensitivity analyses of the model, a significant change in the likelihood of the occurrence of safety risk is identified, and suggests a dominant factor in risk causation. The research results can provide effective information for analyzing the current safety status for navigation systems of unmanned ships in inland rivers. The estimated safety risk provides early warning to take appropriate preventive and mitigative measures to enhance the overall safety of shipping operations.

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A. Ali, Methaq, Abbas H. Miry, and Tariq M. Salman. "IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE IN CONTROLLING THE TEMPERATURE OF INDUSTRIAL PANEL." Journal of Engineering and Sustainable Development 25, no. 01 (January 1, 2021): 92–99. http://dx.doi.org/10.31272/jeasd.25.1.8.

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Artificial intelligence has been widely used in various applications such as health and safety, smart homes, greenhouses, and industrial application. It has been increasingly utilized in the industry owing to its benefits in terms of enhancing the overall performance of a given system. This study appeared from a real need in many local industries. In this paper, a prototype system has been implemented for artificial control on the temperature of the industrial panel. The paper includes two control systems executed; classical PID (Proportional Integral Derivative) and fuzzy logic with a comparison between them. Fuzzy control algorithm is developing based on Sugeno method inside PLC (Programmable Logic Controller). The connection of PLC with sensors is used by the Modbus protocol. Arduino UNO and Ethernet shield are used to connect the sensor to the router and then to PLC by Modbus.

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Smoczek, Jarosław, and Janusz Szpytko. "The Application of a Neuro-Fuzzy Adaptive Crane Control System." Journal of Konbin 14-15, no. 1 (January 1, 2010): 247–58. http://dx.doi.org/10.2478/v10040-008-0182-8.

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The Application of a Neuro-Fuzzy Adaptive Crane Control SystemThe unconventional methods, mostly based on fuzzy logic, are often addressed to a problem of anti-sway crane control. The problem of practical application of those solutions is important owing to come the growing expectations for time and precision of transportation operations and exploitation quality of material handling devices. The paper presents the designing methods of an adaptive anti-sway crane control system based on the neuro-fuzzy controller, as well as the software and hardware equipments used to aid the programming realization the fuzzy control algorithm on a programmable logic controller (PLC). The proposed application of control system was tested on the laboratory model of an overhead traveling crane.

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Lu, Zhu, Han Kun Yu, Peng Gang, and Xiao Yang Ni. "The Application of Fuzzy AHP in Safety Evaluation of Highway Construction Crossover Operation." Applied Mechanics and Materials 738-739 (March 2015): 512–18. http://dx.doi.org/10.4028/www.scientific.net/amm.738-739.512.

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With the progress of highway construction technology and the difficulty of operation, cross-operation becomes emerging constantly, but safety accidents also appear constantly and the problem is how to ensure the cross-operation security. In order to ensure the safety of highways cross operation, we evaluated the security of cross-operation. We choose the method of fuzzy AHP which can quantify the qualitative data. In the selection of indicators, we choose “exchange of information” as an index which evaluated the security of cross-operation of YIBA highway construction by fuzzy AHP.

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Yang, Jie, Yachun Tang, and Huabin Duan. "Application of Fuzzy Support Vector Machine in Short-Term Power Load Forecasting." Journal of Cases on Information Technology 24, no. 5 (February 21, 2022): 1–10. http://dx.doi.org/10.4018/jcit.295248.

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The realization of short-term load forecasting is the basis of system planning and decision-making, and it is an important index to evaluate the safety and economy of power grid.In order to accurately predict the power load under the influence of many factors, a new short-term power load prediction method based on fuzzy support vector machine and similar daily linear extrapolation is proposed, which combinesthe method of fuzzy support vector machine and linear extrapolation of similar days. The method first selects similar days according to the effect of integrated weather and time on load. Then the fuzzy membership of the training sample is obtained by the normalization processing, and the daily maximum and minimum load is predicted by the fuzzy support vector machine. Finally, the load prediction value is obtained by combining the load trend curve obtained by the similar daily linear extrapolation method. and this method is feasible and effective for short-term forecasting of power load.

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Mohandes, Saeed Reza, Haleh Sadeghi, Amir Mahdiyar, Serdar Durdyev, Audrius Banaitis, Khairulzan Yahya, and Syuhaida Ismail. "ASSESSING CONSTRUCTION LABOURS’ SAFETY LEVEL: A FUZZY MCDM APPROACH." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 26, no. 2 (February 10, 2020): 175–88. http://dx.doi.org/10.3846/jcem.2020.11926.

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Risk decision matrix has widely been favoured by the researchers in the area of construction safety risk assessment. Although it provides the construction safety professionals with the final illustration of the risks magnitude, it suffers from major shortcomings, including inability to considering the importance of probability and severity, impaired analysis resulting from the use of raw numbers for ratings, and the limited range of classifications for assessing the risks. All these shortages give an impaired insight to the concerned parties, deteriorating the involved workers’ safety. As such, this paper aims to develop a novel Risk Assessment Model (RAM) through the integration of the Fuzzy Best Worst Method (FBWM) with the Interval-Valued Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (IVFTOPSIS). Based on the application of RAM to a real-life case study, it was observed that the developed RAM contributes to the body of construction safety risk assessment in five unique ways: (1) computing the importance of the two risk parameters (i.e. probability and severity) using fuzzy-reference-based comparisons, (2) obviating the needs for having statistical data, (3) prioritizing the identified risks using the combination of interval-valued triangular fuzzy numbers with TOPSIS, (4) providing the safety analysts with wider ranges of classifications for conducting risk assessment, and (5) providing the safety professionals with appropriate evaluation strategies for controlling the analysed risks. The developed model in the study can be applied to any projects, giving a conclusive plan to the concerned safety professionals for adopting the further prudent mitigation measurements.

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Zhang, Jian Xin, Jia Li Dai, and Bin Liu. "Application of Comprehensive Evaluation Method to Foundation Pit Engineering." Advanced Materials Research 446-449 (January 2012): 1775–80. http://dx.doi.org/10.4028/www.scientific.net/amr.446-449.1775.

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Based on the monitoring data of the deep foundation pit, established an adjacent deep foundation pit safety risk fuzzy synthetic evaluation model, and then determine safety grades , using the method to evaluate the safety of the environment surrounding the foundation pit. Practice proves that the method can reflect the risk condition of the pit, and provided a new way to check the security of the pit.

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Lule, Emmanuel, Chomora Mikeka, Alexander Ngenzi, and Didacienne Mukanyiligira. "Design of an IoT-Based Fuzzy Approximation Prediction Model for Early Fire Detection to Aid Public Safety and Control in the Local Urban Markets." Symmetry 12, no. 9 (August 21, 2020): 1391. http://dx.doi.org/10.3390/sym12091391.

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Fire monitoring in local urban markets within East Africa (EA) has been seriously neglected for a long time. This has culminated in a severe destruction of life and property worth millions. These rampant fires are attributed to electrical short circuits, fuel spillages, etc. Previous research proposes single smoke detectors. However, they are prone to false alarm rates and are inefficient. Also, satellite systems are expensive for developing countries. This paper presents a fuzzy model for early fire detection and control as symmetry’s core contribution to fuzzy systems design and application in computer and engineering sciences. We utilize a fuzzy logic technique to simulate the performance of the model using MATLAB, using six parameters: temperature, humidity, flame, CO, CO2 and O2 vis-à-vis the Estimated Fire Intensity Prediction (EFIP). Results show that, using fuzzy logic, a significant improvement in fire detection is observed with an overall accuracy rate of 95.83%. The paper further proposes an IoT-based fuzzy prediction model for early fire detection with a goal of minimizing extensive damage and promote intermediate fire suppression and control through true fire incidences. This solution provides for future public safety monitoring, and control of fire-related situations among the market community. Hence, fire safety monitoring is significant in providing future fire safety planning, control and management by putting in place appropriate fire safety laws, policies, bills and related fire safety practices or guidelines to be applied in public buildings, market centers and other public places.

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Li, Hui, Yanbo Hui, Jun Ma, Qiao Wang, Ying Zhou, and Hongxiao Wang. "Research on Variable Universe Fuzzy Multi-Parameter Self-Tuning PID Control of Bridge Crane." Applied Sciences 13, no. 8 (April 12, 2023): 4830. http://dx.doi.org/10.3390/app13084830.

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The bridge-type bridge crane is a common lifting equipment used in modern factories and workshops. During the crane’s operation, the positioning of the trolley and the swing of the load can significantly impact the bridge crane’s safety and reliability. In this paper, we propose a variable universe fuzzy multi-parameter self-tuning PID (VUFMS-PID) control strategy for controlling the trolley’s movement. Our control strategy uses scaling factor variation to dynamically adjust the number of fuzzy control rules based on the system error and error rate of change. This approach improves control accuracy and enhances the crane’s stability and safety. Simulation results demonstrate that our proposed control strategy outperforms both the fuzzy PID and traditional PID control strategies. Specifically, it reduces the crane trolley’s positioning time and the maximum swing angle of the load. Our control strategy exhibits good adaptive ability and robustness, which further improves the stability and safety of the bridge-type bridge crane operation.

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