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Books on the topic 'Fuzzy optimization'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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1

Lodwick, Weldon A., and Janusz Kacprzyk, eds. Fuzzy Optimization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13935-2.

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2

Fedrizzi, Mario. Interactive Fuzzy Optimization. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991.

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3

Wang, Shuming, and Junzo Watada. Fuzzy Stochastic Optimization. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4419-9560-5.

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4

Fang, Yong, Kin Keung Lai, and Shouyang Wang. Fuzzy Portfolio Optimization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-77926-1.

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5

Fedrizzi, Mario, Janusz Kacprzyk, and Marc Roubens, eds. Interactive Fuzzy Optimization. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-45700-5.

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6

Gupta, Pankaj, Mukesh Kumar Mehlawat, Masahiro Inuiguchi, and Suresh Chandra. Fuzzy Portfolio Optimization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54652-5.

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7

Genetic algorithms and fuzzy multiobjective optimization. Boston: Kluwer Academic Publishers, 2002.

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8

Verdegay, José-Luis. Fuzzy sets based heuristics for optimization. Berlin: Springer, 2003.

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9

Keung, Lai Kin, and Wang Shouyang 1958-, eds. Fuzzy portfolio optimization: Theory and methods. Berlin: Springer, 2008.

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10

J, Jowers Leonard, and SpringerLink (Online service), eds. Monte Carlo Methods in Fuzzy Optimization. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2008.

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11

name, No. Fuzzy sets based heuristics for optimization. Berlin: Springer-Verlag, 2003.

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12

Verdegay, José-Luis, ed. Fuzzy Sets Based Heuristics for Optimization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-36461-0.

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13

Sakawa, Masatoshi. Genetic Algorithms and Fuzzy Multiobjective Optimization. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-1519-7.

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14

Sakawa, Masatoshi. Fuzzy Sets and Interactive Multiobjective Optimization. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4899-1633-4.

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15

Buckley, James J., and Leonard J. Jowers. Monte Carlo Methods in Fuzzy Optimization. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-76290-4.

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16

Fuzzy sets and interactive multiobjective optimization. New York: Plenum, 1993.

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17

Lodwick, Weldon A., and Janusz Kacprzyk. Fuzzy optimization: Recent advances and applications. Berlin: Springer, 2010.

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18

Wang, Shuming. Fuzzy Stochastic Optimization: Theory, Models and Applications. Boston, MA: Springer US, 2012.

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19

Astudillo, Leslie, Patricia Melin, and Oscar Castillo. Chemical Optimization Algorithm for Fuzzy Controller Design. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05245-8.

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20

Carlsson, Christer, and Robert Fullér. Fuzzy Reasoning in Decision Making and Optimization. Heidelberg: Physica-Verlag HD, 2002. http://dx.doi.org/10.1007/978-3-7908-1805-5.

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21

Milan, Vlach, ed. Generalized concavity in fuzzy optimization and decision analysis. Boston: Kluwer Academic Publishers, 2002.

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22

Ramík, Jaroslav. Generalized Concavity in Fuzzy Optimization and Decision Analysis. Boston, MA: Springer US, 2002.

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23

Castillo, Oscar, and Patricia Melin, eds. Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-10960-2.

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24

Kacprzyk, J., and S. A. Orlovski, eds. Optimization Models Using Fuzzy Sets and Possibility Theory. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3869-4.

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25

Ramík, Jaroslav, and Milan Vlach. Generalized Concavity in Fuzzy Optimization and Decision Analysis. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-1485-5.

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26

Verbruggen, H. B. Fuzzy Algorithms for Control. Dordrecht: Springer Netherlands, 1999.

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27

Brunner, Johannes. Interaktive Fuzzy Optimierung: Entwicklung eines Entscheidungsunterstützungssystems. Heidelberg: Physica, 1994.

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28

S, Rao S. Applications of fuzzy theories to multi-objective system optimization. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1991.

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29

Fuzzy optimization and multi-criteria decision making in digital marketing. Hershey: Business Science Reference, 2016.

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30

Kasperski, Adam. Discrete optimization with interval data: Minmax regret and fuzzy approach. Berlin: Springer, 2008.

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31

Kasperski, Adam. Discrete optimization with interval data: Minmax regret and fuzzy approach. Berlin: Springer, 2008.

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32

Kasperski, Adam. Discrete optimization with interval data: Minmax regret and fuzzy approach. Berlin: Springer, 2008.

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33

Junior, Hime Aguiar e. Oliveira. Stochastic global optimization and its applications with fuzzy adaptive simulated annealing. Heidelberg: New York, 2012.

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34

Sakawa, Masatoshi. Large Scale Interactive Fuzzy Multiobjective Programming: Decomposition Approaches. Heidelberg: Physica-Verlag HD, 2000.

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35

Chen, Guoqing. Fuzzy Logic and Soft Computing. Boston, MA: Springer US, 1999.

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36

Adeli, Hojjat. Cost optimization of structures: Fuzzy logic, genetic algorithms, and parallel computing. Chichester, England: Wiley, 2006.

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37

Amador, Leticia, and Oscar Castillo. Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54295-9.

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38

Aguiar e Oliveira Junior, Hime, Lester Ingber, Antonio Petraglia, Mariane Rembold Petraglia, and Maria Augusta Soares Machado. Stochastic Global Optimization and Its Applications with Fuzzy Adaptive Simulated Annealing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27479-4.

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39

Pardalos, P. M. Fuzzy Multi-Criteria Decision Making: Theory and Applications with Recent Developments. Boston, MA: Springer Science+Business Media, LLC, 2008.

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40

Höhle, Ulrich. Mathematics of Fuzzy Sets: Logic, Topology, and Measure Theory. Boston, MA: Springer US, 1999.

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41

Słowiński, Roman. Fuzzy Sets in Decision Analysis, Operations Research and Statistics. Boston, MA: Springer US, 1998.

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42

Nelles, Oliver. Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001.

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43

Karim, Samsul Ariffin Abdul, Evizal Abdul Kadir, and Arbi Haza Nasution, eds. Optimization Based Model Using Fuzzy and Other Statistical Techniques Towards Environmental Sustainability. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2655-8.

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44

Castillo, Oscar, and Patricia Melin, eds. Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68776-2.

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45

Castillo, Oscar, Patricia Melin, and Janusz Kacprzyk, eds. Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71008-2.

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46

Olivas, Frumen, Fevrier Valdez, Oscar Castillo, and Patricia Melin. Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-70851-5.

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47

Melin, Patricia, Oscar Castillo, and Janusz Kacprzyk, eds. Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17747-2.

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48

Salleh, Shaharuddin. Scheduling in Parallel Computing Systems: Fuzzy and Annealing Techniques. Boston, MA: Springer US, 1999.

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49

Shouyang Wang,Kin Keung Lai,Yong Fang. Fuzzy Portfolio Optimization. Springer, 2008.

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50

1949-, Fedrizzi Mario, Kacprzyk Janusz, and Roubens Marc, eds. Interactive fuzzy optimization. Berlin: Springer-Verlag, 1991.

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