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1

Xu, Zeshui. Linguistic Decision Making: Theory and Methods. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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2

Migdalas, Athanasios, Angelo Sifaleras, Christos K. Georgiadis, Jason Papathanasiou, and Emmanuil Stiakakis, eds. Optimization Theory, Decision Making, and Operations Research Applications. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5134-1.

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3

Chang, Hyeong Soo. Simulation-Based Algorithms for Markov Decision Processes. 2nd ed. London: Springer London, 2013.

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4

Núñez, Alfredo A. Hybrid Predictive Control for Dynamic Transport Problems. London: Springer London, 2013.

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5

1954-, Varela Juan, and Acuña Sergio 1960-, eds. Handbook of optimization theory: Decision analysis and application. Hauppauge, N.Y: Nova Science Publishers, 2009.

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6

Wygralak, Maciej. Intelligent Counting Under Information Imprecision: Applications to Intelligent Systems and Decision Support. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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7

GOR-Working-Group "Decision Theory and Practice". Workshop. Decision theory and optimization in theory and practice: Proceedings of the 9th Workshop of the GOR-Working-Group "Decision Theory and Practice", March 3-5, 1999, Chemnitz. Aachen: Shaker Verlag, 2000.

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8

Vitoriano, Begoña. Decision Aid Models for Disaster Management and Emergencies. Paris: Atlantis Press, 2013.

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9

Ventre, Aldo G. S. Multicriteria and Multiagent Decision Making with Applications to Economics and Social Sciences. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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10

Theory and approaches of unascertained group decision-making. Boca Raton: Auerbach Publications, 2012.

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11

Gal, Tomas. Multicriteria Decision Making: Advances in MCDM Models, Algorithms, Theory, and Applications. Boston, MA: Springer US, 1999.

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12

Gil-Aluja, Jaime. Elements for a Theory of Decision in Uncertainty. Boston, MA: Springer US, 1999.

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13

Eiselt, H. A. Operations Research: A Model-Based Approach. 2nd ed. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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14

service), SpringerLink (Online, ed. Extremal Fuzzy Dynamic Systems: Theory and Applications. New York, NY: Springer New York, 2013.

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15

Ching, Wai-Ki. Markov Chains: Models, Algorithms and Applications. 2nd ed. Boston, MA: Springer US, 2013.

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16

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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17

Fleuren, Hein. Operations Research Proceedings 2004: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR). Jointly Organized with the Netherlands Society for Operations Research (NGB) Tilburg, September 1-3, 2004. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005.

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18

Kemme, Nils. Design and Operation of Automated Container Storage Systems. Heidelberg: Physica-Verlag HD, 2013.

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19

Lu, Jie. Handbook on Decision Making: Vol 2: Risk Management in Decision Making. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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20

Liu, Baoding. Decision Criteria and Optimal Inventory Processes. Boston, MA: Springer US, 1999.

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21

service), SpringerLink (Online, ed. Nonbayesian Decision Theory: Beliefs and Desires as Reasons for Action. Dordrecht: Springer Science + Business Media B.V, 2008.

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22

Herrmann, Jeffrey W. Handbook of Operations Research for Homeland Security. New York, NY: Springer New York, 2013.

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23

Feinberg, Eugene A. Handbook of Markov Decision Processes: Methods and Applications. Boston, MA: Springer US, 2002.

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24

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

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25

Roeser, Sabine. Essentials of Risk Theory. Dordrecht: Springer Netherlands, 2013.

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26

Nelson, Barry L. Foundations and Methods of Stochastic Simulation: A First Course. Boston, MA: Springer US, 2013.

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27

Shanteau, James. Decision Science and Technology: Reflections on the Contributions of Ward Edwards. Boston, MA: Springer US, 1999.

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28

Anderson, David Ray. An introduction to management science: Quantitative approaches to decision making. 7th ed. Minneapolis/St. Paul: West Pub. Co., 1994.

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29

Anderson, David Ray. An introduction to management science: Quantitative approaches to decision making. 8th ed. Minneapolis/St. Paul: West Pub. Co., 1997.

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30

Anderson, David Ray. An introduction to management science: Quantitative approaches to decision making. 5th ed. St. Paul: West Pub. Co., 1988.

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31

J, Sweeney Dennis, and Williams Thomas Arthur 1944-, eds. An introduction to management science: Quantitative approaches to decision making. 4th ed. St. Paul: West Pub. Co., 1985.

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32

Anderson, David Ray. An introduction to management science: Quantitative approaches to decision making. 6th ed. St. Paul, Minn: West Pub. Co., 1991.

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33

Słowiński, Roman. Intelligent Decision Support: Handbook of Applications and Advances of the Rough Sets Theory. Dordrecht: Springer Netherlands, 1992.

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34

International Conference on Multi-Objective Programming and Goal Programming (4th 2000 Ustroń, Poland). Multiple objective and goal programming: Recent cevelopments. Heidelberg: Physica-Verlag, 2002.

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35

Armbruster, Dieter. Decision Policies for Production Networks. London: Springer London, 2012.

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36

Phlips, Louis. The economics of imperfect information. Cambridge [Cambridgeshire]: Cambridge University Press, 1988.

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37

1929-, Hwang C. L., ed. Fuzzy multiple objective decision making: Methods and applications. Berlin: Springer-Verlag, 1994.

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38

Aleskerov, Fuad. Utility Maximization, Choice and Preference. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002.

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39

Kim, Haenakon. Advances in Technology and Management: Proceedings of the 2012 International Conference on Technology and Management (ICTAM 2012), International Convention Center Jeju, Jeju-Island, Korea. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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40

Xu, Zeshui. Linguistic Decision Making: Theory and Methods. Springer, 2013.

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41

Chang, Hyeong Soo, Michael C. Fu, and Jiaqiao Hu. Simulation-Based Algorithms for Markov Decision Processes. Springer, 2013.

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42

Simulation-Based Algorithms for Markov Decision Processes. Springer London, Limited, 2013.

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43

Chang, Hyeong Soo, Michael C. Fu, and Jiaqiao Hu. Simulation-Based Algorithms for Markov Decision Processes. Springer London, Limited, 2015.

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44

Chang, Hyeong Soo, Michael C. Fu, Jiaqiao Hu, and Steven I. Marcus. Simulation-Based Algorithms for Markov Decision Processes. Springer London, Limited, 2010.

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45

Maturo, Antonio, Aldo G. S. Ventre, and Šárka Hošková-Mayerová. Multicriteria and Multiagent Decision Making with Applications to Economics and Social Sciences. Springer, 2013.

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46

Continuoustime Markov Decision Processes Theory And Applications. Springer, 2009.

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47

Ruan, Da, Javier Montero, and Begoña Vitoriano. Decision Aid Models for Disaster Management and Emergencies. Atlantis Press (Zeger Karssen), 2015.

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48

Multicriteria and Multiagent Decision Making with Applications to Economics and Social Sciences. Springer, 2013.

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49

Kacprzyk, Janusz, Antonio Maturo, Aldo G. S. Ventre, and Šárka Hošková-Mayerová. Multicriteria and Multiagent Decision Making with Applications to Economics and Social Sciences. Springer, 2015.

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50

Game Theory and Business Applications (International Series in Operations Research & Management Science). Springer, 2001.

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