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Books on the topic 'Fuzzy Rule-based Systems'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Mendel, Jerry M. Uncertain Rule-Based Fuzzy Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51370-6.

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Mendel, Jerry M. Explainable Uncertain Rule-Based Fuzzy Systems. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-35378-9.

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3

Mendel, Jerry M. Uncertain rule-based fuzzy logic systems: Introduction and new directions. Prentice Hall, 2001.

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4

Geyer-Schulz, Andreas. Fuzzy rule-based expert systems and genetic machine learning. Physica-Verlag, 1995.

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5

Angelov, Plamen P. Evolving rule-based models: A tool for design of flexible adaptive systems. Physica-Verlag, 2002.

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6

Bárdossy, András. Fuzzy rule-based modeling with applications to geophysical, biological, and engineering systems. CRC Press, 1995.

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7

Angelov, Plamen P. Evolving Rule-Based Models: A Tool for Design of Flexible Adaptive Systems. Physica-Verlag HD, 2002.

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8

Dubois, Didier. Systèmes à bases de règles floues et leurs applications pour la décision et la commande =: Fuzzy rule-based systems andapplications to decision and control. Institut de Recherche en Informatique de Toulouse, 1991.

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9

Uncertain Rule-Based Fuzzy Systems. Springer International Publishing AG, 2023.

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10

Uncertain Rule-Based Fuzzy Systems. Springer Nature, 2017.

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11

Mendel, Jerry M. Introduction to Rule-Based Fuzzy Logic Systems. Ieee, 2001.

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12

Mendel, Jerry M. Uncertain Rule-Based Fuzzy Systems: Introduction and New Directions, 2nd Edition. Springer, 2018.

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13

Mendel, Jerry M. Uncertain Rule-Based Fuzzy Systems: Introduction and New Directions, 2nd Edition. Springer, 2017.

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14

Mendel, Jerry M. Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions. Prentice Hall PTR, 2000.

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15

Mendel, Jerry M. Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions. Prentice Hall PTR, 2000.

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16

Fuzzy rule-based expert systems and genetic machine learning. 2nd ed. Physica-Verlag, 1997.

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17

Mendel, Jerry M. New Directions in Rule-Based Fuzzy Logic Systems: Handling Uncertainties. Inst Elect & Electronic Engineers, 2001.

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18

Bardossy, Andras, and Lucien Duckstein. Fuzzy Rule-Based Modeling with Applications to Geophysical, Biological, and Engineering Systems. Taylor & Francis Group, 2022.

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19

Bardossy, Andras, and Lucien Duckstein. Fuzzy Rule-Based Modeling with Applications to Geophysical, Biological, and Engineering Systems. Taylor & Francis Group, 2022.

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20

Bardossy, Andras, and Lucien Duckstein. Fuzzy Rule-Based Modeling with Applications to Geophysical, Biological, and Engineering Systems. Taylor & Francis Group, 2022.

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21

Bàrdossy, András. Fuzzy Rule-Based Modeling with Applications to Geophysical, Biological and Engineering Systems. 2022.

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22

Kasabov, Nikola. Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering. The MIT Press, 1996. http://dx.doi.org/10.7551/mitpress/3071.001.0001.

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In a clear and accessible style, Kasabov describes rule-based and connectionist techniques and then their combinations, with fuzzy logic included, showing the application of the different techniques to a set of simple prototype problems, which makes comparisons possible. A particularly strong feature of the text is that it is filled with applications in engineering, business, and finance. AI problems that cover most of the application-oriented research in the field (pattern recognition, speech and image processing, classification, planning, optimization, prediction, control, decision making, a

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