Relevant bibliographies by topics / Fuzzy applications in safety

Academic literature on the topic 'Fuzzy applications in safety'

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Published: 6 September 2023

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Journal articles on the topic "Fuzzy applications in safety"

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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Fuzzy applications in safety"

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Sallak, Mohamed. "Évaluation de paramètres de sûreté de fonctionnement en présence d'incertitudes et aide à la conception : application aux Systèmes Instrumentés de Sécurité." Thesis, Vandoeuvre-les-Nancy, INPL, 2007. http://www.theses.fr/2007INPL065N/document.

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L'introduction de systèmes instrumentés dédiés aux applications de sécurité impose l'évaluation de leur sûreté de fonctionnement. On utilise généralement pour cela les bases de données de fiabilité génériques. Cependant, le retour d'expérience pour ces systèmes qui présentent en général des défaillances rares est insuffisant pour valider les résultats obtenus. En outre, la collecte de données de fiabilité et leur extrapolation à d'autres composants introduisent des incertitudes. Les travaux de cette thèse portent sur la problématique de la prise en compte des incertitudes relatives aux données de fiabilité des composants pour l'évaluation de la sûreté de fonctionnement des systèmes par le formalisme des sous ensembles flous. La méthodologie proposée est appliquée à l'évaluation des probabilités de défaillance des Systèmes Instrumentés de Sécurité (SIS) en présence de données de fiabilité imprécises. Nous introduisons deux nouveaux facteurs d'importance pour aider le concepteur. En outre, nous proposons une méthodologie d'aide à la conception des SIS basée sur la modélisation par réseaux de fiabilité et l'optimisation par des algorithmes génétiques de la structure des SIS pour le respect des niveaux d'intégrité de sécurité (SIL) exigés
The use of safety related systems imposes to evaluate their dependability. Laboratory data and generic data are often used to provide failure data of safety components to evaluate their dependability parameters. However, due to the lower solicitation of safety systems in plant, safety components have not been operating long enough to provide statistical valid failure data. Furthermore, measuring and collecting failure data have uncertainty associated with them, and borrowing data from laboratory and generic data sources involve uncertainty as well. Our contribution is to propose a fuzzy approach to evaluate dependability parameters of safety systems when there is an uncertainty about dependability parameters of systems components. This approach is applied to determine the failure probability on demand of Safety Instrumented Systems (SIS) in presence of uncertainty. Furthermore, we present an optimal design of SIS by using reliability graphs and genetic algorithms to identify the choice of components and design configuration in a SIS to meet the required SIL
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Patel, Chintan. "Evaluating Trench Safety Using Fuzzy Logic Concept and Fuzzy Set Models." The Ohio State University, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=osu1419353000.

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Naman, Saleem Muhammad. "Eigen Fuzzy Sets of Fuzzy Relation with Applications." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4060.

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Eigen fuzzy sets of fuzzy relation can be used for the estimation of highest and lowest levels of involved variables when applying max-min composition on fuzzy relations. By the greatest eigen fuzzy sets (set which can be greater anymore) maximum membership degrees of any fuzzy set can be found, with the help of least eigen fuzzy set (set which can be less anymore) minimum membership degrees of any fuzzy sets can be found as well.The lowest and highest level, impact or e ffect of anything can be found by applying eigen fuzzy set theory. The implicational aspect of this research study is medical and customer satisfaction level measurement. By applying methods of eigen fuzzy set theory the e ffectiveness of medical cure and customer satisfaction can be found with high precision.
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Al-Kaabi, Noura Salem. "A fuzzy-based construction safety advisor (CSA) for construction safety in the United Arab." The Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=osu1147971772.

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King, Jonathan R. "New applications of fuzzy logic." Thesis, University of East Anglia, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.365021.

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Liao, I.-En. "Fuzzy time and its applications /." The Ohio State University, 1990. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487676847117812.

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Chou, Te-Shun. "Fuzzy special logic functions and applications." FIU Digital Commons, 1992. http://digitalcommons.fiu.edu/etd/2347.

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In this thesis, four special logic functions (threshold functions, monotone increasing functions, monotone decreasing functions, and unate functions) are extended to more general functions which allows the activities of these special functions to be a "fuzzy" rather than a "1-or-O" process. These special logic functions are called as fuzzy special logic functions and are based on the concepts and techniques developed in fuzzy logic and fuzzy languages. The algorithms of determining C(n), Cmax(n) and generating the most dissimilar fuzzy special logic functions as well as important properties and results are investigated. Examples are given to illustrated these special logic functions. In addition, their applications -- function representation, data compression, error correction, and monotone flash analog to digital converter, their relationships, and fuzzy classification are also presented. It is obviously shown that fuzzy logic theory can be used successfully on these four special logic functions in order to normalize the grade of membership function μ in the interval [0 1]. As a result, the techniques described in this thesis may be of use in the study of other special logic functions and much fertile field work is great worth researching and developing.
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Maistralis, Eleftherios. "Formal safety assessment of marine applications." Thesis, Liverpool John Moores University, 2007. http://researchonline.ljmu.ac.uk/5843/.

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This research has first established that it is based on multiple methodologies developed to tackle the areas of engineering cargo handling systems, both at port and on-board vessels, as well as in the area of organisational self-assessment. It continued in reviewing the current status and future aspects of marine safety assessment together with an examination of a few major accidents. The major problems identified in marine safety assessment in this research are associated with inappropriate treatment of uncertainty in data and human error issues during the risk modelling estimation process and the calculation of failure probabilities. Following the identification of the research needs, this thesis has developed several analytical models for the safety assessment of cargo handling systems and organisational assessment structure. Such models can be effectively integrated into a risk-based framework using the marine formal safety assessment, safety case concepts. Bayesian network (BN) and evidential reasoning (ER) approaches applicable to cargo handling engineering systems have been proposed for systematically and effectively addressing uncertainty due to randomness and vagueness in data respectively. ER test cases for both a vessel selection process and a comparison of the safety maturity of different organisations in terms of self-assessment have been produced within a domain in which main and sub criteria have been developed for assessment reasons a long with the combination of the proposed model with existing organisational models. BN test case for a Liquefied Petroleum Gas (LPG) reliquefaction plant has been produced within a cause-effect domain in which Bayes' theorem is the focal mechanism of inference processing. A methodology aiming in finding the probability of failure when having variables ruled by uncertainty is established using certain variable transformation methods through the First and Second order reliability methodologies. Form/Sorm produces a most likely failure point, which is demonstrated through the application at a port cargo handling crane system. The outcomes have the potential to facilitate the decision-making process in a risk-based framework. Finally, the results of the research are summarised and areas where further research is required to improve the developed methodologies are outlined.
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Bashon, Yasmina Massoud. "Contributions to fuzzy object comparison and applications : similarity measures for fuzzy and heterogeneous data and their applications." Thesis, University of Bradford, 2013. http://hdl.handle.net/10454/6305.

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This thesis makes an original contribution to knowledge in the fi eld of data objects' comparison where the objects are described by attributes of fuzzy or heterogeneous (numeric and symbolic) data types. Many real world database systems and applications require information management components that provide support for managing such imperfect and heterogeneous data objects. For example, with new online information made available from various sources, in semi-structured, structured or unstructured representations, new information usage and search algorithms must consider where such data collections may contain objects/records with di fferent types of data: fuzzy, numerical and categorical for the same attributes. New approaches of similarity have been presented in this research to support such data comparison. A generalisation of both geometric and set theoretical similarity models has enabled propose new similarity measures presented in this thesis, to handle the vagueness (fuzzy data type) within data objects. A framework of new and unif ied similarity measures for comparing heterogeneous objects described by numerical, categorical and fuzzy attributes has also been introduced. Examples are used to illustrate, compare and discuss the applications and e fficiency of the proposed approaches to heterogeneous data comparison.
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Bashon, Yasmina M. "Contributions to fuzzy object comparison and applications. Similarity measures for fuzzy and heterogeneous data and their applications." Thesis, University of Bradford, 2013. http://hdl.handle.net/10454/6305.

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This thesis makes an original contribution to knowledge in the fi eld of data objects' comparison where the objects are described by attributes of fuzzy or heterogeneous (numeric and symbolic) data types. Many real world database systems and applications require information management components that provide support for managing such imperfect and heterogeneous data objects. For example, with new online information made available from various sources, in semi-structured, structured or unstructured representations, new information usage and search algorithms must consider where such data collections may contain objects/records with di fferent types of data: fuzzy, numerical and categorical for the same attributes. New approaches of similarity have been presented in this research to support such data comparison. A generalisation of both geometric and set theoretical similarity models has enabled propose new similarity measures presented in this thesis, to handle the vagueness (fuzzy data type) within data objects. A framework of new and unif ied similarity measures for comparing heterogeneous objects described by numerical, categorical and fuzzy attributes has also been introduced. Examples are used to illustrate, compare and discuss the applications and e fficiency of the proposed approaches to heterogeneous data comparison.
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Books on the topic "Fuzzy applications in safety"

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Chan, Hing Kai. Fuzzy Hierarchical Model for Risk Assessment: Principles, Concepts, and Practical Applications. London: Springer London, 2013.

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Esipov, Yuriy, Besik Meshi, Mustafa Dzhilyadzhi, and Aleksandr Hazov. Scientific and applied tasks of technosphere safety. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1882552.

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The monograph sets and solves the following tasks in a complex: systematization of types of safety; formalization of the structure and models of accidents; unification of the concepts of "safety" and "risk", primarily in relation to technical systems "protection - object - subject - environment"; as well as the tasks of combining and (or) generalization of algorithms for calculating safety indicators and the risk of systems based on probabilistic and possibilistic (fuzzy) measures of occurrence of accidents and the establishment of application boundaries for "objective" and (or) "subjective" indicators of safety and risk of technical systems. Using typical examples, the methods and results of solving the stated tasks are considered. For students, postgraduates and teachers of technical and technological universities and faculties, as well as for a wide range of readers interested in technosphere security issues.
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Maria, Bojadziev, ed. Fuzzy sets, fuzzy logic, applications. Singapore: World Scientific Pub. Co., 1995.

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Siegfried, Gottwald, ed. Fuzzy sets, fuzzy logic, fuzzy methods with applications. Chichester: J. Wiley, 1995.

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Dick, Scott, Vladik Kreinovich, and Pawan Lingras, eds. Applications of Fuzzy Techniques. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-16038-7.

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Fullér, Robert, Silvio Giove, and Francesco Masulli, eds. Fuzzy Logic and Applications. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12544-8.

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Masulli, Francesco, Gabriella Pasi, and Ronald Yager, eds. Fuzzy Logic and Applications. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-03200-9.

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Fanelli, Anna Maria, Witold Pedrycz, and Alfredo Petrosino, eds. Fuzzy Logic and Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23713-3.

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Di Gesú, Vito, Francesco Masulli, and Alfredo Petrosino, eds. Fuzzy Logic and Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/10983652.

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Di Gesù, Vito, Sankar Kumar Pal, and Alfredo Petrosino, eds. Fuzzy Logic and Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02282-1.

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Book chapters on the topic "Fuzzy applications in safety"

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Dumitrescu, Mariana, and Toader Munteanu. "Fuzzy Probability and Power System Safety." In Computational Intelligence. Theory and Applications, 885–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45493-4_87.

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Dumitrescu, Mariana, and Toader Munteanu. "A Fuzzy Logic System Used in Safety Analysis." In Computational Intelligence. Theory and Applications, 890–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45493-4_88.

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Kurd, Zeshan, Tim P. Kelly, and Jim Austin. "Exploiting Safety Constraints in Fuzzy Self-organising Maps for Safety Critical Applications." In Lecture Notes in Computer Science, 266–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-28651-6_39.

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Preyssl, Christian, and Yasushi Nishiwaki. "Risk Index and Application of Fuzzy Logic." In Reliability and Safety Analyses under Fuzziness, 273–84. Heidelberg: Physica-Verlag HD, 1995. http://dx.doi.org/10.1007/978-3-7908-1898-7_18.

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Vázquez, Carlos, Luis Tomás, Ginés Moreno, and Johan Tordsson. "A Fuzzy Approach to Cloud Admission Control for Safe Overbooking." In Fuzzy Logic and Applications, 212–25. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-03200-9_22.

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Raimondi, Francesco M., and Ludovico S. Ciancimino. "An Intelligent Car Driver for Safe Navigation with Fuzzy Obstacle Avoidance." In Fuzzy Logic and Applications, 336–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02282-1_42.

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Dumitrescu, Mariana, Toader Munteanu, Ion Voncila, Gelu Gurguiatu, Dan Floricau, and Anatoli Paul Ulmeanu. "Application of Fuzzy Logic in Safety Computing for a Power Protection System." In Fuzzy Systems and Knowledge Discovery, 980–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11881599_122.

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Gholamizadeh, Kamran, Esmaeil Zarei, Mohsen Omidvar, and Mohammad Yazdi. "Fuzzy Sets Theory and Human Reliability: Review, Applications, and Contributions." In Linguistic Methods Under Fuzzy Information in System Safety and Reliability Analysis, 91–137. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93352-4_5.

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Murata, Tadashi. "An Application of Fuzzy Set Theory to Reliability Analysis." In Reliability and Safety Analyses under Fuzziness, 196–202. Heidelberg: Physica-Verlag HD, 1995. http://dx.doi.org/10.1007/978-3-7908-1898-7_13.

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Gul, Muhammet, and Ali Fuat Guneri. "Use of FAHP for Occupational Safety Risk Assessment: An Application in the Aluminum Extrusion Industry." In Fuzzy Analytic Hierarchy Process, 249–72. Boca Raton : CRC Press, 2017.: Chapman and Hall/CRC, 2017. http://dx.doi.org/10.1201/9781315369884-11.

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Conference papers on the topic "Fuzzy applications in safety"

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Mentes, Ayhan, and Ismail H. Helvacioglu. "Review of Fuzzy Set Theory Applications in Safety Assessment for Marine and Offshore Industries." In ASME 2011 30th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2011. http://dx.doi.org/10.1115/omae2011-50244.

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Various safety analysis techniques have been generated in dealing with uncertain information over the past three decades. The safety assessment based on conventional risk methods may not be well suited with most problems possessing high level of contingencies in marine and offshore systems. In other words, the effect of less confidence, unreliable, missing or incomplete data in safety assessment is arduous to apply common safety and risk assessment techniques for maritime industry. Therefore, fuzzy logic based approaches are probably more appropriate to apply in carrying out safety assessment for maritime systems. This paper presents a survey of applications in fuzzy set theory for safety analysis to marine and offshore industries’ problems. The safety assessment methods are presented in detail by demonstrating their robust and weak points. Subsequently, the main results on the application of fuzzy set theory for safety assessment will be further explained. Finally, recommendations in undertaking developments into the field of maritime safety assessment will be given.
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Liu, Kaidi, Yanjun Pang, Shaoling Zhou, and Rui Huang. "New Membership Transformation Method on Bridge Safety Fuzzy Evaluation." In 2009 International Workshop on Intelligent Systems and Applications. IEEE, 2009. http://dx.doi.org/10.1109/iwisa.2009.5072972.

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HAMPEL, R., N. CHAKER, and H. STEGEMANN. "KNOWLEDGE REPRESENTATION USING FUZZY LOGIC BASED CHARACTERISTICS FOR SAFETY RELATED APPLICATIONS PART II: APPLICATIONS." In Proceedings of the 4th International FLINS Conference. WORLD SCIENTIFIC, 2000. http://dx.doi.org/10.1142/9789812792631_0039.

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Sii How Sing, T. Ruxton, and J. Wang. "Application of approximate reasoning in marine and offshore safety engineering." In Proceedings of 8th International Fuzzy Systems Conference. IEEE, 1999. http://dx.doi.org/10.1109/fuzzy.1999.793041.

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Zhao, Zhenwu. "Evaluating Airlines Safety Using Fuzzy Simulation Technique." In 2008 International Symposium on Intelligent Information Technology Application Workshops (IITAW). IEEE, 2008. http://dx.doi.org/10.1109/iita.workshops.2008.105.

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Chin, Chiun-Li, Kun-Ti Tsai, Ho-Feng Chen, Tzu-Chieh Weng, Guei-Ru Wu, and Bing-Jhang Lin. "Multi-sensor and multi-function motorcycle safety system with Intelligent Control Algorithm." In 2016 International Conference on Fuzzy Theory and Its Applications (iFuzzy). IEEE, 2016. http://dx.doi.org/10.1109/ifuzzy.2016.8004961.

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Sun, Wei, and Jian-xiao Ma. "Fuzzy Synthesis Evaluation Procedure for Road Safety Level of Cities in China." In 2009 International Workshop on Intelligent Systems and Applications. IEEE, 2009. http://dx.doi.org/10.1109/iwisa.2009.5072880.

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Ping, Qian, and Xu Bing. "Safety Interlock Control Project For Mill Working Procedure based on Fuzzy Control." In 2006 1ST IEEE Conference on Industrial Electronics and Applications. IEEE, 2006. http://dx.doi.org/10.1109/iciea.2006.257081.

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You Qiuju, Zhu Wei, Xing Tao, and Chen Zhifen. "Application of Fuzzy FMECA in Gas Network Safety Assessment." In 2010 Second World Congress on Software Engineering (WCSE 2010). IEEE, 2010. http://dx.doi.org/10.1109/wcse.2010.62.

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Lu, Xian-Feng, and Sheng-Guo Huang. "Study on fuzzy safety risk evaluation method of airport industry with influence factor analysis." In 2012 International Conference on Fuzzy Theory and it's Applications (iFUZZY). IEEE, 2012. http://dx.doi.org/10.1109/ifuzzy.2012.6409690.

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Reports on the topic "Fuzzy applications in safety"

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Cooper, J. A. Fuzzy-algebra uncertainty analysis for abnormal-environment safety assessment. Office of Scientific and Technical Information (OSTI), January 1994. http://dx.doi.org/10.2172/10119580.

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Willson. L51756 State of the Art Intelligent Control for Large Engines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), September 1996. http://dx.doi.org/10.55274/r0010423.

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Computers have become a vital part of the control of pipeline compressors and compressor stations. For many tasks, computers have helped to improve accuracy, reliability, and safety, and have reduced operating costs. Computers excel at repetitive, precise tasks that humans perform poorly - calculation, measurement, statistical analysis, control, etc. Computers are used to perform these type of precise tasks at compressor stations: engine / turbine speed control, ignition control, horsepower estimation, or control of complicated sequences of events during startup and/or shutdown. For other tasks, however, computers perform very poorly at tasks that humans find to be trivial. A discussion of the differences in the way humans and computer process information is crucial to an understanding of the field of artificial intelligence. In this project, several artificial intelligence/ intelligent control systems were examined: heuristic search techniques, adaptive control, expert systems, fuzzy logic, neural networks, and genetic algorithms. Of these, neural networks showed the most potential for use on large bore engines because of their ability to recognize patterns in incomplete, noisy data. Two sets of experimental tests were conducted to test the predictive capabilities of neural networks. The first involved predicting the ignition timing from combustion pressure histories; the best networks responded within a specified tolerance level 90% to 98.8% of the time. In the second experiment, neural networks were used to predict NOx, A/F ratio, and fuel consumption. NOx prediction accuracy was 91.4%, A/F ratio accuracy was 82.9%, and fuel consumption accuracy was 52.9%. This report documents the assessment of the state of the art of artificial intelligence for application to the monitoring and control of large-bore natural gas engines.
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Zedeh, L. A., and S. L. Graham. Syllogistic Reasoning in Fuzzy Logic and its Applications to Reasoning with Dispositions. Fort Belvoir, VA: Defense Technical Information Center, December 1985. http://dx.doi.org/10.21236/ada172699.

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Perusich, Karl, and Michael D. McNeese. Understanding and Modeling Information Dominance in Battle Management: Applications of Fuzzy Cognitive Maps. Fort Belvoir, VA: Defense Technical Information Center, March 1998. http://dx.doi.org/10.21236/ada352913.

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Smith, Brandon Michael. Safety Applications Project Performance Benchmark. Office of Scientific and Technical Information (OSTI), March 2018. http://dx.doi.org/10.2172/1431058.

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Smith, Brandon Michael, Douglas William Jacobsen, Hai Ah Nam, William David Nystrom, Anna Mataleena Pietarila Graham, David A. Pimentel, William Newton III Rust, and Terence John Tarnowsky. Safety Applications Project Performance Benchmark. Office of Scientific and Technical Information (OSTI), April 2019. http://dx.doi.org/10.2172/1511213.

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Goodman, I. R. Applications of Random Set Representations of Fuzzy Sets to Determining Measures of Central Tendency. Fort Belvoir, VA: Defense Technical Information Center, November 1995. http://dx.doi.org/10.21236/ada305661.

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Blume, Christopher, and Nick E. Christians. Tenacity Turf Safety for Postemergence Applications. Ames: Iowa State University, Digital Repository, 2010. http://dx.doi.org/10.31274/farmprogressreports-180814-1229.

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L. C. Cadwallader. Dust Combustion Safety Issues for Fusion Applications. Office of Scientific and Technical Information (OSTI), May 2003. http://dx.doi.org/10.2172/910731.

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Brown, Forrest B., Michael Evan Rising, and Jennifer Louise Alwin. Verification of MCNP6.2 for Nuclear Criticality Safety Applications. Office of Scientific and Technical Information (OSTI), May 2017. http://dx.doi.org/10.2172/1356287.

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