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1

Faulkner, Laurie. Linear programming for management decision making. Leicester: Leicester Business School, De Montfort University, 1992.

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2

Bartels, Sibylle. Entwicklung und Beurteilung von Aggregationsstrategien für lineare Entscheidungsmodelle. Frankfurt am Main: P. Lang, 1986.

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3

Eiguren, Jakoba. Soft-decision decoding algorithms for linear block codes. Manchester: University of Manchester, 1994.

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4

Pham, Khanh D. Linear-Quadratic Controls in Risk-Averse Decision Making. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5079-5.

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5

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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6

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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7

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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8

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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9

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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10

J, Sweeney Dennis, and Williams Thomas Arthur 1944-, eds. An introduction to management science: Quantitative approaches to decision making. 9th ed. Cincinnati: South-Western College Publishing, 2000.

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11

Ecke, Roland. Lineare Investitions- und Finanzplanung im modular strukturierten Modell. Wiesbaden: Deutscher Universitäts Verlag, 1989.

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12

service), SpringerLink (Online, ed. Linear-Quadratic Controls in Risk-Averse Decision Making: Performance-Measure Statistics and Control Decision Optimization. New York, NY: Springer New York, 2013.

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13

Bayesian analysis of linear models. New York: M. Dekker, 1985.

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14

Postoptimal analyses, parametric programming, and related topics: Degeneracy, multicriteria decision making, redundancy. 2nd ed. Berlin: W. de Gruyter, 1995.

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15

Guttman, Irwin. A bayesian look at diagnostics in the univariate linear model. Toronto, Ont: University of Toronto, Department of Statistics, 1992.

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16

Sherk, Murray Wayne. Linear and arbitrary predicates in decision trees for element distinctness. Toronto: University of Toronto, Dept. of Computer Science, 1986.

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17

Bender, Filmore Edmund. Optimization for profit: A decision maker's guide to linear programming. New York: Haworth Press, 1992.

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18

Purposive interaction in multi-actor decision making: Operationalizing Coleman's linear system of action for policy decision support. Delft: Eburon, 2004.

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19

Razzak, Anmar. A man-machine approach to multicriteria decision making for linear systems. Leicester: Human-Computer InterfaceResearch Unit, Leicester Polytechnic, 1985.

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20

Zhukova, Galina. Mathematical methods for management decisions. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1084987.

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The purpose of this manual is to help students to master basic concepts and research methods used in the theory of optimal control. The foundations of mathematical modeling. Systematic mathematical methods for managerial decision-making in linear, nonlinear and dynamic problems of optimal socio-economic processes. Each section contains numerous examples of the application of these methods to solve applied problems. Much attention is paid to comparison of the proposed methods, a proper choice of study design problems, case studies and analysis of complex situations that arise in the study of these topics theory of decision-making, methods of optimal control. It is recommended that teachers, students and graduate students studying advanced mathematics.
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21

Mechanism design: A linear programming approach. Cambridge: Cambridge University Press, 2011.

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22

Anderson, David R. An introduction to management science: Quantitative approaches to decision making. 9th ed. Cincinnati, Ohio: South-Western College Pub., 2000.

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23

J, Sweeney Dennis, and Williams Thomas A. 1944-, eds. An introduction to management science: Quantitative approaches to decision making. 7th ed. Minneapolis/St. Paul: West Publishing, 1994.

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24

Halme, Merja. Local characterization of efficient solutions in interactive multiple objective linear programming. Helsinki: Helsinki School of Economics and Business Administration, 1992.

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25

Duo mu biao xian xing jue ce xi tong: Li lun ji ying yong = Multiple criteria linear programming decision systems : theory and applications. Beijing Shi: Gao deng jiao yu chu ban she, 2007.

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26

Halme, Merja. Local characterization of efficient solutions in interactive multiple objective linear programming. Helsinki: Helsinki School of Economics and Business Administration, 1992.

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27

Handbook of critical issues in goal programming. Oxford: Pergamon Press, 1991.

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28

Mikhaĭlovich, Gvishiani Dzhermen, ed. Obʺektivnye modeli i subʺektivnye reshenii͡a︡. Moskva: "Nauka", 1987.

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29

1975-, Peng Yi, ed. Multiple criteria and multiple constraint levels linear programming: Concepts, techniques and applications. Singapore: World Scientific, 2001.

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30

Evans, Michael J. Computational issues in the Bayesian analysis of categorical data: Log-linear and Goodman's RC model. [Toronto]: University of Toronto, Dept. of Statistics, 1990.

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31

A, Bushenkov V., and Kamenev G. K, eds. Interactive decision maps: Approximation and visualization of Pareto frontier. Boston: Kluwer Academic Publishers, 2004.

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32

Stuhr, Klaus-Peter. Experimentelle Untersuchungen zur Abschätzung des maximalen Aggregationsfehlers in linearen Programmen. München: VVF, 1987.

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33

Jeff, Harrison, ed. Bayesian forecasting and dynamic models. 2nd ed. New York: Springer, 1997.

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34

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

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35

Aonuma, Tatsuo. A facet-following coordination for linear bilevel planning process. Kobe, Japan: Institute of Economic Research, Kobe University of Commerce, 1985.

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36

Wolf, Jochen. Lineare Fuzzy-Modelle zur Unterstützung der Investitionsentscheidung: Modellierung und Lösung von Investitionsproblemen mittels der Theorie unscharfer Mengen. Frankfurt am Main: P. Lang, 1988.

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37

Shu, Lin. Soft-decision decoding techniques for linear block codes and their error performance analysis. [Washington, D.C: National Aeronautics and Space Administration, 1996.

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38

Shu, Lin. Soft-decision decoding techniques for linear block codes and their error performance analysis. [Washington, D.C: National Aeronautics and Space Administration, 1996.

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39

Shu, Lin. Soft-decision decoding techniques for linear block codes and their error performance analysis. [Washington, D.C: National Aeronautics and Space Administration, 1996.

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40

Sutton, David. The use of spreadsheets in management decision-making: A linear programming case study. Leicester: Leicester Business School, De Montfort University, 1994.

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41

West, Mike. Bayesian forecasting and dynamic models. New York: Springer, 1989.

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42

Brunner, Lawrence J. Bayesian linear regression with error terms that have symmetric unimodal densities. Toronto: Department of Statistics, University of Toronto, 1989.

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43

Pilz, Jürgen. Bayesian estimation and experimental design in linear regression models. 2nd ed. Chichester: Wiley, 1991.

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44

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

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45

Henn, Rudolf, Wilhelm Kromphardt, and Karl Förstner. Lineare Entscheidungsmodelle. Springer, 2012.

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46

Ryan, Eileen. Introduction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190673796.003.0001.

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Italian imperialism in the early twentieth century left behind a legacy that is seldom far below the surface in postcolonial Libya. The ability to trace a lineage of resistance conferred political legitimacy in the formation of a national identity. In Italy today the legacies of imperial expansion are less accessible but no less important. The decision to occupy Libya occurred at a pivotal moment in the development of Italian national identity in the decades after Italian unification. Debates over an Italian approach to expansion in Muslim North Africa served as an opportunity to define the nature of religious identity in the nation as Italy attempted to join the ranks of the European imperial powers.
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47

Entscheiden bei Unschärfe: Fuzzy Decision Support-Systeme. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988.

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48

Murty, Katta G. Optimization for Decision Making: Linear and Quadratic Models. Springer, 2011.

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49

Optimization For Decision Making Linear And Quadratic Models. Springer, 2009.

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50

Springer and Katta G. Murty. Optimization for Decision Making: Linear and Quadratic Models. Springer, 2012.

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