Готові списки джерел за темами / Fuzzy conclusion

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  1. Статті в журналах
  2. Дисертації
  3. Книги
  4. Частини книг
  5. Тези доповідей конференцій
  6. Звіти організацій

Добірка наукової літератури з теми "Fuzzy conclusion"

Автор: Grafiati
Опубліковано: 30 травня 2022
Оновлено: 31 травня 2022

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Статті в журналах з теми "Fuzzy conclusion"

1

Кочеткова, Инесса, Inessa Kochetkova, Василий Рубанов, and Vasiliy Rubanov. "DEVELOPMENT OF DECISION-MAKING SIMULATOR BASED ON THEORY FUZZY SETS AND FUZZY CONCLUSION." Bulletin of Bryansk state technical university 2017, no. 2 (2017): 217–23. http://dx.doi.org/10.12737/article_59353e2a224ed6.27761471.

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2

Pynko, Alexej P. "Fuzzy semantics for multiple-conclusion sequential calculi with structural rules." Fuzzy Sets and Systems 121, no. 3 (2001): 397–407. http://dx.doi.org/10.1016/s0165-0114(99)00152-9.

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3

ANDRECUT, M., and M. K. ALI. "FUZZY REINFORCEMENT LEARNING." International Journal of Modern Physics C 13, no. 05 (2002): 659–74. http://dx.doi.org/10.1142/s0129183102003450.

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Анотація:
Fuzzy logic represents an extension of classical logic, giving modes of approximate reasoning in an environment of uncertainty and imprecision. Fuzzy inference systems incorporates human knowledge into their knowledge base on the conclusions of the fuzzy rules, which are affected by subjective decisions. In this paper we show how the reinforcement learning technique can be used to tune the conclusion part of a fuzzy inference system. The fuzzy reinforcement learning technique is illustrated using two examples: the cart centering problem and the autonomous navigation problem.
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4

I, Siddikov, and D. Yadgarova. "DEVELOPMENT OF A HIGH-SPEED ALGORITM OF NEUROLOGICAL CONCLUSION." Technical science and innovation 2019, no. 1 (2019): 154–60. http://dx.doi.org/10.51346/tstu-01.19.1.-77-0014.

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Анотація:
One of the ways to increase the efficiency of the process of managing continuous dynamic objects is to develop new or improve existing control systems based on modern methods involving the achievements of information technology. The article deals with the creation of highly efficient control algorithms for technological objects, operating in conditions of uncertainty, designed to manage real-life objects. An algorithm is proposed for the structural-parametric adaptation of the PID parameters (proportional-integral-differential) -regulator, which allows to reduce the number of iterations in the
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5

WANG, SHYUE-LIANG, and TZUNG-PEI HONG. "INCOMPLETE INPUT INFERENCE ON FUZZY PRODUCTION SYSTEMS SUPPORTED BY PETRI NETS." International Journal on Artificial Intelligence Tools 09, no. 04 (2000): 537–49. http://dx.doi.org/10.1142/s0218213000000343.

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Анотація:
This paper proposes a new reasoning technique on fuzzy production systems while given input knowledge is incomplete. Based on the fuzzy Petri net formalism, the proposed algorithm can infer all possible conclusions and their corresponding missing inputs. The most possible conclusion can also be determined based on the criteria of the minimum number of missing inputs as well as the degree of truth of the conclusion. In addition, finiteness and computational complexity of the algorithm is investigated. As real decisions are typically made under incomplete input knowledge, this reasoning techniqu
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6

Chislov, O., N. Lyabakh, M. Kolesnikov, M. Bakalov, and D. Bezusov. "Fuzzy modelling of the transportation logistics processes." Journal of Physics: Conference Series 2131, no. 3 (2021): 032007. http://dx.doi.org/10.1088/1742-6596/2131/3/032007.

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Abstract The relevance of mechanisms and fuzzy modeling methods used in transport and logistics processes is justified. The logic of the transport and logistics chains study by their decomposition into separate economic entities with subsequent synthesis, with taking into account their conflicting interests, is presented. The task of managing transport and logistics processes is set within the framework of the conceptual positions of the fuzzy sets theory: the use of linguistic variables, the concept of a fuzzy set, fuzzy inference, implemented on the basis of fuzzy sets operations. In this st
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7

Jin, Hyun-Soo. "A Method of Conclusion of Traffic Control Signal Proposal using Fuzzy Analytic Hierachy Process." Journal of the Korea Academia-Industrial cooperation Society 9, no. 6 (2008): 1592–98. http://dx.doi.org/10.5762/kais.2008.9.6.1592.

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8

Pynko, Alexej P. "Not necessarily distributive fuzzy semantics for multiple-conclusion sequent calculi with weak structural rules." Fuzzy Sets and Systems 129, no. 2 (2002): 255–65. http://dx.doi.org/10.1016/s0165-0114(01)00164-6.

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9

Zhang, Xuefeng. "Comments on “Takagi–Sugeno fuzzy control for a wide class of fractional-order chaotic systems with uncertain parameters via linear matrix inequality”." Journal of Vibration and Control 26, no. 9-10 (2019): 643–45. http://dx.doi.org/10.1177/1077546319889838.

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Анотація:
This article shows that sufficient conditions of Theorems 1–3 and the conclusions of Lemmas 1–2 for Takasi–Sugeno fuzzy model–based fractional order systems in the study “Takagi–Sugeno fuzzy control for a wide class of fractional order chaotic systems with uncertain parameters via linear matrix inequality” do not hold as asserted by the authors. The reason analysis is discussed in detail. Counterexamples are given to validate the conclusion.
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10

Jin, Shangzhu. "An Alternative Backward Fuzzy Rule Interpolation Method." International Journal of Software Science and Computational Intelligence 6, no. 4 (2014): 47–71. http://dx.doi.org/10.4018/ijssci.2014100104.

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Анотація:
Fuzzy set theory allows for the inclusion of vague human assessments in computing problems. Also, it provides an effective means for conflict resolution of multiple criteria and better assessment of options. Fuzzy rule interpolation offers a useful means for enhancing the robustness of fuzzy models by making inference possible in sparse rule-based systems. However, in real-world applications of inter-connected rule bases, situations may arise when certain crucial antecedents are absent from given observations. If such missing antecedents were involved in the subsequent interpolation process, t
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Дисертації з теми "Fuzzy conclusion"

1

Кузьмін, Олексій Олегович, Дмитро Леонідович Орловський та Андрій Михайлович Копп. "Оцінювання та аналіз навичок та компетенцій студентів ВНЗ". Thesis, Прикарпатський національний університет ім. Василя Стефаника, 2018. http://repository.kpi.kharkov.ua/handle/KhPI-Press/40857.

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Анотація:
У даній роботі розглянута задача нечіткого логічного висновку для прийняття рішень в задачах підбору контингенту студентів виходячи з вимог потенційних роботодавців, що дозволяє зменшити час на обробку інформації про кандидатів на конкретну посаду.<br>This paper considers the problem of the fuzzy logic inference in order to support the decision making procedure of students’ selection based on the requirements of the potential employers. This approach allows reducing the time spent on the processing of the information about candidates for a certain position. The fuzzy characteristics of the inp
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Книги з теми "Fuzzy conclusion"

1

Hoerder, Dirk. European Migrations. Edited by Ronald H. Bayor. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199766031.013.003.

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Анотація:
The essay begins with the “imperial intrusions” into Native Peoples’ cultural spaces and the eighteenth-century (re-)peopling of the American colonies. It discusses the caesura and new patterns from the Revolution to industrialization. It emphasizes migrant agency and decision-making in the frame of Europe’s societies-economies of origin. The arriving, fully socialized men and women form ethnocultural groups with fuzzy borders and acculturate according to gender and class but face racialization, demands for Anglo-conformity, and “melting pot”–discourses. It is argued that they form a “transnat
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2

Livermore, Roy. Poles Apart. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198717867.003.0004.

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Анотація:
In just a few years, the magnetic bar-code secreted beneath the world’s oceans had provided detailed intelligence on the motions of the plates. When combined with other data from the sea floor, this allowed geophysicists to reconstruct the history of entire ocean basins following the rifting of Pangea. Some folk, however, are never happy, and ‘glass-half-empty’ types might well have complained that, impressive as all this was, it accounted for less than 200 million of the 4500 million years of Earth history, i.e. just 4%. What about that other 96%? Did plate tectonics operate through part or a
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Частини книг з теми "Fuzzy conclusion"

1

Atanassov, Krassimir T. "Conclusion." In Intuitionistic Fuzzy Logics. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48953-7_5.

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2

Jin, Shangzhu, Qiang Shen, and Jun Peng. "Conclusion." In Backward Fuzzy Rule Interpolation. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1654-8_8.

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3

Gibilisco, Michael B., Annie M. Gowen, Karen E. Albert, John N. Mordeson, Mark J. Wierman, and Terry D. Clark. "Conclusion." In Fuzzy Social Choice Theory. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05176-5_8.

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4

Gegov, Alexander. "Conclusion." In Fuzzy Networks for Complex Systems. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15600-7_10.

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5

Werro, Nicolas. "Conclusion." In Fuzzy Classification of Online Customers. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15970-6_8.

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6

Billot, Antoine. "General Conclusion." In Economic Theory of Fuzzy Equilibria. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-642-79949-5_8.

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Arfi, Badredine. "Conclusion." In Linguistic Fuzzy Logic Methods in Social Sciences. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13343-5_8.

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8

Cat, Jordi. "Conclusion." In Fuzzy Pictures as Philosophical Problem and Scientific Practice. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47190-7_22.

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9

Tan, Joey Sing Yee, and Amandeep S. Sidhu. "Conclusion." In Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15585-8_6.

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10

Guidara, Ali. "Conclusion and Future Research." In Policy Decision Modeling with Fuzzy Logic. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62628-0_9.

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Тези доповідей конференцій з теми "Fuzzy conclusion"

1

Baranyi, P., D. Tikk, Y. Yam, L. T. Koczy, and L. Nadai. "A new method for avoiding abnormal conclusion for /spl alpha/-cut based rule interpolation." In Proceedings of 8th International Fuzzy Systems Conference. IEEE, 1999. http://dx.doi.org/10.1109/fuzzy.1999.793270.

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2

Zhang, Jiancheng, and Lianta Su. "The Theory of Membership Degree of T-Conclusion in Propositional Fuzzy Logic Systems." In 2013 5th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC). IEEE, 2013. http://dx.doi.org/10.1109/ihmsc.2013.125.

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3

Chujkova, E. N. "COMPREHENSIVE EVALUATION OF INFORMATION SYSTEM BASED ON FUZZY LOGIC." In STATE AND DEVELOPMENT PROSPECTS OF AGRIBUSINESS Volume 2. DSTU-Print, 2020. http://dx.doi.org/10.23947/interagro.2020.2.263-265.

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Анотація:
The article provides a way to determine the multi-criteria assessment of the information system through a fuzzy logical conclusion. The evaluation criteria and fuzzy rules of the knowledge base on which calculations are based are proposed. The resulting assessment allows to make an informed choice of the information system, most appropriate to the needs of the consumer, from the many analogues offered on the market.
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4

Ban, Xiaojun, Yang Liu, Xianlin Huang, and Fen Wu. "Output Feedback Control for Fuzzy Systems Subject to Actuator Saturation Based on Fuzzy Lyapunov Functions." In ASME 2016 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/dscc2016-9879.

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Анотація:
In this paper, a novel fuzzy gain-scheduling output feedback control method is presented for T-S fuzzy systems subject to actuator saturation. To deal with saturation nonlinearity, the dead-zone function of control input is treated as an additional controller input. With the help of set conclusion condition, the controller can be synthesised based on fuzzy Lyapunov functions to guarantee the exponential stability of the closed-loop system in a larger region and a better L2 gain performance. Moreover, the full block S-procedure, which is widely used in robust control theory, is introduced to re
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5

Bychkov, E. D., and N. N. Narutta. "Decision-making in tasks of a telecommunication network with use of in fuzzy composite rules of a conclusion." In 2012 IEEE 11th International Conference on Actual Problems of Electronics Instrument Engineering (APEIE). IEEE, 2012. http://dx.doi.org/10.1109/apeie.2012.6629004.

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6

Wang, Junyan, and Yuhua Zhang. "Assembly Systems Coordinated by Revenue-Sharing Contracts in a Fuzzy Environment." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-41388.

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Анотація:
From an industry and organization point of view, this paper considers the assembly systems with one assembler and multi-manufacturer under a revenue-sharing contract in a fuzzy environment which will contribute new insights to the engineering management. Market demand and assembler’s assemble capacity are characterized as fuzzy variables, respectively. Game theory is used to analyze the behavior of the members in the assembly systems. Both non-cooperative game and cooperative game models between the assembler and manufacturers are constructed. The coalition optimal solution of cooperative game
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7

Abdullayev, P. S., A. M. Pashayev, R. A. Sadiqov, and A. J. Mirzoyev. "Fuzzy Condition Monitoring System for Aviation Gas Turbine Engines." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-43902.

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Анотація:
In this paper is shown the efficiency of the new Soft Computing technology application at different diagnosing stages of aviation gas turbine engine (GTE) technical condition with using Fuzzy Logic and Neural Networks methods, when the flight information has property of a fuzzy, limitation and uncertainty. On the fuzzy statistical data basis and with high accuracy is made the training of Fuzzy Multiple Linear and Non-Linear models (Fuzzy Regression Equations). Thus for GTE technical condition more adequate model making are analysed dynamics of skewness and kurtosis coefficients’ changes. Resea
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8

Abdullayev, P. S. "Fuzzy Statistics Approach for Aviation GTE Condition Estimation Technique." In ASME 8th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2006. http://dx.doi.org/10.1115/esda2006-95791.

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Анотація:
In this paper is shown that the probability-statistic methods application, especially at the early stage of the aviation gas turbine engine (GTE) technical condition diagnosing, when the flight information has property of the fuzzy, limitation and uncertainty is unfounded. Hence is considered the efficiency of application of new technology Soft Computing at these diagnosing stages with the using of the Fuzzy Logic and Neural Networks methods. Training with high accuracy of fuzzy multiple linear and non-linear models (fuzzy regression equations) which received on the statistical fuzzy data basi
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9

Lewallen, Colby. "Wavelet-Based Time-Frequency Control of a Flywheel Energy Storage System." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-67682.

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Анотація:
The objective of this paper was to implement a novel controller called “wavelet-based time-frequency control” (WFXLMS) in a computer simulation of a FES system with six degrees-of-freedom and compare its dynamic stability and active power consumption with the following conventional controllers: PID and fuzzy-logic. Specifically, all three controllers were applied to a FES system operating at 100,000 rpm, and the amplitude of vibration, rate of convergence, and current draw were compared. As of writing this paper, the PID and fuzzy-logic controllers have converged but the WFXLMS controller has
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10

Abdullayev, P. S., A. M. Pashayev, D. D. Askerov, and R. A. Sadiqov. "Aircraft Gas Turbine Engines’ Technical Condition Identification System." In ASME Turbo Expo 2005: Power for Land, Sea, and Air. ASMEDC, 2005. http://dx.doi.org/10.1115/gt2005-69072.

Повний текст джерела
Анотація:
In this paper is shown that the probability-statistic methods application, especially at the early stage of the aviation gas turbine engine (GTE) technical condition diagnosing, when the flight information has property of the fuzzy, limitation and uncertainty is unfounded. Hence is considered the efficiency of application of new technology Soft Computing at these diagnosing stages with the using of the Fuzzy Logic and Neural Networks methods. Training with high accuracy of fuzzy multiple linear and non-linear models (fuzzy regression equations) which received on the statistical fuzzy data basi
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Звіти організацій з теми "Fuzzy conclusion"

1

Lavrentieva, Olena O., Ihor O. Arkhypov, Olexander I. Kuchma, and Aleksandr D. Uchitel. Use of simulators together with virtual and augmented reality in the system of welders’ vocational training: past, present, and future. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3748.

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Анотація:
The article discusses the theory and methods of simulation training, its significance in the context of training specialists for areas where the lack of primary qualification is critical. The most widespread hardware and software solutions for the organization welders' simulation training that use VR- and AR- technologies have been analyzed. A review of the technological infrastructure and software tools for the virtual teaching-and-production laboratory of electric welding has been made on the example of the achievements of Fronius, MIMBUS, Seabery. The features of creating a virtual simulati
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