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Books on the topic 'Logika fuzzy'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Böhme, Gert. Fuzzy-Logik. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-86785-9.

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2

Reusch, Bernd, ed. Fuzzy Logik. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-79386-8.

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3

Kahlert, Jörg, and Hubert Frank. Fuzzy-Logik und Fuzzy-Control. Vieweg+Teubner Verlag, 1994. http://dx.doi.org/10.1007/978-3-322-89197-6.

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4

Kahlert, Jörg, and Hubert Frank. Fuzzy-Logik und Fuzzy-Control. Vieweg+Teubner Verlag, 1993. http://dx.doi.org/10.1007/978-3-322-83760-8.

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5

Kosko, Bart. Fuzzy thinking: The new science of fuzzy logic. Hyperion, 1993.

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6

T. Atanassov, Krassimir. Intuitionistic Fuzzy Logics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-48953-7.

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7

Veronesi, Massimiliano. Logica fuzzy: Teoria ed applicazioni. FrancoAngeli, 2001.

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8

Tanaka, Kazuo. An introduction to fuzzy logic for practical applications. Springer, 1997.

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9

Scheffels, Rolf. Fuzzy-Logik in der Jahresabschlußprüfung. Deutscher Universitätsverlag, 1996. http://dx.doi.org/10.1007/978-3-322-99456-1.

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10

Traeger, Dirk H. Einführung in die Fuzzy-Logik. Vieweg+Teubner Verlag, 1994. http://dx.doi.org/10.1007/978-3-322-99590-2.

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11

Traeger, Dirk H. Einführung in die Fuzzy-Logik. 2nd ed. Teubner, 1994.

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12

Syamsul, Arifin. Aplikasi sistem logika fuzzy pada peramalan cuaca di Indonesia untuk mendeteksi kejadian anomali tinggi gelombang laut: Laporan akhir pelaksanaan hibah kompetitif penelitian sesuai prioritas nasional batch II tahun anggaran 2010. Lembaga Penelitian dan Pengabdian Kepada Masyarakat, Institut Teknologi Sepuluh Nopember, 2010.

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13

Glykas, Michael. Fuzzy cognitive maps: Advances in theory, methodologies, tools and applications. Springer, 2010.

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14

Metcalfe, George, Nicola Olivetti, and Dov Gabbay. Proof Theory for Fuzzy Logics. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-1-4020-9409-5.

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15

Nicola, Olivetti, and Gabbay Dov M. 1945-, eds. Proof theory for fuzzy logics. Springer, 2009.

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16

Karl, Quade, ed. Anwendungen der Fuzzy-Logik und neuronaler Netze. Sport und Buch Strauss, 1996.

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17

Noll, Patrick. Statistisches Matching mit Fuzzy Logic: Theorie und Anwendungen in Sozial- und Wirtschaftswissenschaften. Vieweg + Teubner, 2009.

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18

Didier, Dubois, Prade Henri M, and Klement E. P, eds. Fuzzy sets, logics, and reasoning about knowledge. Kluwer Academic, 1999.

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19

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

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20

Ross, Timothy J. Fuzzy Logic with Engineering Applications. John Wiley & Sons, Ltd., 2005.

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21

Ross, Timothy J. Fuzzy logic with engineering applications. 3rd ed. John Wiley, 2010.

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22

Wang, Pʻei-chuang. Fuzzy information processing and fuzzy computers. Science Press, 1997.

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23

Kosko, Bart. Fuzzy-logisch: Eine neue Art des Denkens. ECON-Taschenbuch-Verl., 1995.

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24

1994), Dortmunder Fuzzy-Tage (4th. Fuzzy Logik: Theorie und Praxis : 4. Dortmunder Fuzzy-Tage, Dortmund, 6.-8. Juni 1994. Springer-Verlag, 1994.

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25

Bede, Barnabas. Mathematics of Fuzzy Sets and Fuzzy Logic. Springer Berlin Heidelberg, 2013.

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26

Dubois, Didier, Henri Prade, and Erich Peter Klement, eds. Fuzzy Sets, Logics and Reasoning about Knowledge. Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-017-1652-9.

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27

Dubois, Didier. Fuzzy Sets, Logics and Reasoning about Knowledge. Springer Netherlands, 1999.

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28

G, Chen. Introduction to fuzzy sets, fuzzy logic, and fuzzy control systems. CRC Press, 2000.

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29

Tat, Pham Trung, ed. Introduction to fuzzy sets, fuzzy logic, and fuzzy control systems. CRC Press, 2001.

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30

Hellendoorn, J. Reasoning with fuzzy logic. National Aerospace Laboratory, 1991.

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31

Baczyński, Michał. Fuzzy implications. Springer Verlag, 2008.

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32

Penerapan logika fuzzy dalam pemodelan perkiraan tingkat inflasi di Indonesia: Laporan penelitian dosen muda. Fakultas Ilmu Sosial dan Ekonomi, Universitas Negeri Yogyakarta, 2007.

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33

Friedrich, Alfred. Logik und Fuzzy- Logik. Expert-Verlag, 1997.

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34

Jaanineh, Georg, and Markus Maijohann. Fuzzy- Logik und Fuzzy - Control. Vogel, 1996.

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35

Fuzzy - Logik und Fuzzy - Control. Vieweg Verlagsgesellschaft, 1994.

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36

Bělohlávek, Radim, Joseph W. Dauben, and George J. Klir. Fuzzy Logic in the Narrow Sense. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190200015.003.0004.

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The chapter examines the various propositional and predicate many-valued logics that were studied prior to the emergence of the concept of a fuzzy set in the mid-1960s, which led to the genesis of fuzzy logic in broad and narrow senses. Early ideas regarding formal systems of fuzzy logic allowed for deduction from partially true premises to partially true consequences, as suggested first by Goguen in the 1960s and further developed by Pavelka in the 1970s, and these ideas were developed from the 1990s onward. The systematic development of fuzzy logics based on t-norms and their residua, pursue

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37

Fuzzy thinking. HarperCollins, 1993.

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38

Kosko, Bart. Fuzzy Thinking. Flamingo, 1994.

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39

Kosko, Bart. Fuzzy Thinking. Flamingo, 1994.

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40

Fuzzy thinking: The new science of fuzzy logic. Flamingo, 1994.

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41

Fuzzy thinking: The new science of fuzzy logic. Hyperion, 1993.

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42

Kosko, Bart. Fuzzy Thinking: The New Science of Fuzzy Logic. Hyperion, 1994.

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43

Kosko, Bart. Fuzzy Thinking: The New Science of Fuzzy Logic. Audio Literature, 1998.

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44

Bělohlávek, Radim, Joseph W. Dauben, and George J. Klir. Prehistory, Emergence, and Evolution of Fuzzy Logic. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190200015.003.0002.

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This chapter first identifies the rare instances throughout the long history of classical logic when the principle of bivalence was challenged and shows that they all have been rather inconsequential. It then briefly examines the early research on many-valued logics during the first half the twentieth century, and describes in some detail circumstances that led to the emergence of fuzzy set theory and fuzzy logic in the mid-1960s. This is followed by characterizing the evolving attitudes toward fuzzy logic, especially within the academic community, and by a summary of major and well-documented

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45

Atanassov, Krassimir T. Intuitionistic Fuzzy Logics. Springer, 2018.

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46

Atanassov, Krassimir T. Intuitionistic Fuzzy Logics. Springer, 2016.

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47

Belohlavek, Radim, Joseph W. Dauben, and George J. Klir. Fuzzy Logic and Mathematics. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190200015.001.0001.

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The term “fuzzy logic” (FL) is a generic one, which stands for a broad variety of logical systems. Their common ground is the rejection of the most fundamental principle of classical logic—the principle of bivalence—according to which each declarative sentence has exactly two possible truth values—true and false. Each logical system subsumed under FL allows for additional, intermediary truth values, which are interpreted as degrees of truth. These systems are distinguished from one another by the set of truth degrees employed, its algebraic structure, truth functions chosen for logical connect

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48

Tanaka, Kazuo. An Introduction to Fuzzy Logic for Practical Applications. Springer, 1996.

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49

Einführung in die Fuzzy-Logik. 2nd ed. Vieweg+Teubner Verlag, 1994.

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50

Scheffels, Rolf. Fuzzy-Logik in der Jahresabschlußprüfung. Deutscher Universitäts Verlag, 1996.

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