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Books on the topic 'Fuzzy inference systems'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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1

Grabisch, Michel. Fundamentals of uncertainty calculi with applications to fuzzy inference. Kluwer Academic Publishers, 1995.

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2

Hudgins, Billy E. Implementation of fuzzy inference systems using neural network techniques. Naval Postgraduate School, 1992.

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3

Bobyr', Maksim, Sergey Emel'yanov, Aleksandr Arhipov, Natal'ya Milostnaya, Andrey Ronzhin, and Roman Mescheryakov. Applied neuro-fuzzy computing systems and devices. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1900641.

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Abstract:
The monograph is devoted to the analysis and development of applied neuro-fuzzy systems and devices. The issues related to the training of neuro-fuzzy inference systems are outlined. There are many examples and algorithms that explain the essence of the functioning of the developed methods.
 It is intended for students, postgraduates, researchers, engineers engaged in the development of intelligent systems and devices for controlling mechanisms.
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4

S, Teichrow Jon, University of Houston--Clear Lake. Research Institute for Computing and Information Systems., and Lyndon B. Johnson Space Center. Information Technology Division., eds. Real-time fuzzy inference based robot path planning: Final report. Research Institute for Computing and Information Systems, University of Houston-Clear Lake, 1990.

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5

Demri, Stéphane P. Incomplete Information: Structure, Inference, Complexity. Springer Berlin Heidelberg, 2002.

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6

Shukla, K. K. Efficient Algorithms for Discrete Wavelet Transform: With Applications to Denoising and Fuzzy Inference Systems. Springer London, 2013.

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7

Neelanarayanan, ed. Multi-step Prediction of Pathological Tremor With Adaptive Neuro Fuzzy Inference System (ANFIS). Association of Scientists, Developers and Faculties, 2014.

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8

Hung T. Hung T. Nguyen, E. A. Walker, and Michel Grabisch. Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference. Springer London, Limited, 2013.

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9

Nguyen, Hung T., Michel Grabisch, and E. A. Walker. Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference. Springer, 2010.

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10

Real-time fuzzy inference based robot path planning: Final report. Research Institute for Computing and Information Systems, University of Houston-Clear Lake, 1990.

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11

Elements of Causal Inference. The MIT Press, 2017.

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12

Scheipers, Ulrich. Sonohistology. Methods and Systems for Ultrasonic Tissue Characterization Based on a Multifeature Approach and Fuzzy Inference Systems. Logos Verlag Berlin, 2005.

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13

Shukla, K. K., and Arvind K. Tiwari. Efficient Algorithms for Discrete Wavelet Transform: With Applications to Denoising and Fuzzy Inference Systems. Springer London, Limited, 2013.

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14

Fuzzy Inference System. NY RESEARCH PRESS, 2015.

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15

Azeem, Mohammad Fazle, ed. Fuzzy Inference System - Theory and Applications. InTech, 2012. http://dx.doi.org/10.5772/2341.

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16

Niemiec, Mariusz. Fuzzy Inference System - Theory and Applications. Scitus Academics LLC, 2017.

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17

Uncu, Özge. Type 2 fuzzy system models with type 1 inference. 2003.

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18

Guo, Lizhu. Key optimization issues for the design of fuzzy-inference system. 1997.

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19

Gergely, Tamas, Oleg M. Anshakov, Victor K. Finn, and Sergei O. Kuznetsov. Cognitive Research. Springer, 2006.

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