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Published: 6 September 2023

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1

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

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2

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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3

Maria, Bojadziev, ed. Fuzzy sets, fuzzy logic, applications. Singapore: World Scientific Pub. Co., 1995.

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4

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

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5

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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6

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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7

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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8

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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9

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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10

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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11

Bloch, Isabelle, Alfredo Petrosino, and Andrea G. B. Tettamanzi, eds. Fuzzy Logic and Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11676935.

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12

1967-, Russo Marco, and Jain L. C, eds. Fuzzy learning and applications. Boca Raton: CRC Press, 2001.

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13

Stavroulakis, Peter, ed. Neuro-Fuzzy and Fuzzy-Neural Applications in Telecommunications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-18762-9.

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14

Bo, Yuan, ed. Fuzzy sets and fuzzy logic: Theory and applications. Upper Saddle River, N.J: Prentice Hall PTR, 1995.

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15

Stavroulakis, Peter. Neuro-Fuzzy and Fuzzy-Neural Applications in Telecommunications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004.

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16

H, St Clair Ute, and Yuan Bo, eds. Fuzzy set theory: Foundations and applications. Upper Saddle River, NJ: Prentice Hall, 1997.

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17

Hirota, Kaoru, ed. Industrial Applications of Fuzzy Technology. Tokyo: Springer Japan, 1993. http://dx.doi.org/10.1007/978-4-431-65877-1.

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18

Kearfott, Ralph Baker, Ildar Batyrshin, Marek Reformat, Martine Ceberio, and Vladik Kreinovich, eds. Fuzzy Techniques: Theory and Applications. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21920-8.

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19

Masulli, Francesco, Sushmita Mitra, and Gabriella Pasi, eds. Applications of Fuzzy Sets Theory. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73400-0.

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20

Kahraman, Cengiz, ed. Fuzzy Applications in Industrial Engineering. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-33517-x.

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21

Jones, André, Arnold Kaufmann, and Hans-Jürgen Zimmermann, eds. Fuzzy Sets Theory and Applications. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4682-8.

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22

Zimmermann, Hans-Jürgen, ed. Practical Applications of Fuzzy Technologies. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4601-6.

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23

Kahraman, Cengiz, ed. Fuzzy Engineering Economics with Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-70810-0.

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24

Novák, Vilém. Fuzzy sets and their applications. Bristol: Hilger, 1987.

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25

J, Patyra M., and Mlynek D. M, eds. Fuzzy logic: Implementation and applications. Chichester: Wiley, 1996.

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26

Sato, Mika. Fuzzy clustering models and applications. New York: Physica Verlag, 1997.

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27

Fuzzy logic with engineering applications. 3rd ed. Chichester, U.K: John Wiley, 2010.

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28

Kandel, Abraham. Fuzzy mathematical techniques with applications. Reading, Mass: Addison-Wesley, 1986.

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29

Hirota, Kaoru. Industrial Applications of Fuzzy Technology. Tokyo: Springer Japan, 1993.

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30

Manton, Kenneth G. Statistical applications using fuzzy sets. New York: Wiley, 1994.

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31

Zimmermann, Hans-Jürgen. Practical Applications of Fuzzy Technologies. Boston, MA: Springer US, 1999.

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32

Petry, Frederick E. Fuzzy Databases: Principles and Applications. Boston, MA: Springer US, 1996.

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33

Petry, Fred. Fuzzy databases: Principles and applications. Boston: Kluwer Academic Publishers, 1996.

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34

1934-, Zimmermann H. J., ed. Practical applications of fuzzy technologies. Boston: Kluwer Academic, 1999.

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35

Kandel, Abraham. Fuzzy Hardware: Architectures and Applications. Boston, MA: Springer US, 1998.

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36

Sujeet, Chand, and Chiu Stephen L, eds. Fuzzy logic with engineering applications. New York: IEEE, 1995.

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37

Andre, Jones, Kaufmann A. 1911-, and Zimmermann H. J. 1934-, eds. Fuzzy sets theory and applications. Dordrecht: D. Reidel Pub. Co., 1986.

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38

International Conference on Fuzzy Sets Theory and its Applications (4th 1998 Liptovský Ján, Slovakia). Fuzzy sets: Theory and applications. Edited by Kolesárová Anna and Kalina Martin. Bratislava: Mathematical Institute, Slovak Academy of Sciences, 1999.

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39

Abraham, Kandel, and Langholz Gideon, eds. Fuzzy hardware: Architectures and applications. Boston: Kluwer Academic Publishers, 1998.

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40

1934-, Zimmermann H. J., ed. Practical applications of fuzzy technologies. Boston: Kluwer Academic, 1999.

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41

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

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42

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

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43

Wang, Xiaojun, and Hing Kai Chan. Fuzzy Hierarchical Model for Risk Assessment: Principles, Concepts, and Practical Applications. Springer, 2015.

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44

Fuzzy Logic Applications in Engineering Science (Intelligent Systems, Control and Automation: Science and Engineering). Springer, 2005.

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45

Advanced Decision-Making Methods and Applications in System Safety and Reliability Problems: Approaches, Case Studies, Multi-Criteria Decision-making, Multi-objective Decision-making, Fuzzy Risk-based Models. Springer International Publishing AG, 2022.

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46

Fuzzy Sets, Fuzzy Logic and Their Applications. MDPI, 2020. http://dx.doi.org/10.3390/books978-3-03928-521-1.

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47

Bělohlávek, Radim, Joseph W. Dauben, and George J. Klir. Applications of Fuzzy Logic. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190200015.003.0006.

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The high visibility of fuzzy logic and mathematics based on fuzzy logic is primarily due to their highly successful applications in many areas of human affairs. The aim of this chapter is to characterize the evolution and current status of these applications. Covered are applications in the various areas of engineering, natural, social and earth sciences, psychology, medicine, management and business, decision making, pattern recognition, image analysis, risk analysis, music, among others. In each of these areas, the significance of using fuzzy logic and the associated mathematics is critically assessed. It is argued that in some application areas, such as psychology or quantum mechanics, a cooperation between researchers in fuzzy logic and those in the application domain, leading possibly to new types of nonstandard fuzzy sets, is essential for further progress.
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48

Fuzzy Logic Engineering Applications. McGraw-Hill Education, 1997.

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49

Russo, Marco. Fuzzy Learning and Applications. Taylor & Francis Group, 2019.

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50

Russo, Marco. Fuzzy Learning and Applications. Taylor & Francis Group, 2019.

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