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Author Kolbin, V. V. (Vi︠a︡cheslav Viktorovich), 1941-

Title Decision making and programming / V.V. Kolbin ; translated from Russian by V.M. Donets
Published River Edge, N.J. : World Scientific, ©2003

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Description 1 online resource (ix, 745 pages) : illustrations
Contents Ch. 1. Social choice problems. 1.1. Individual preference aggregation. 1.2. Collective preference aggregation. 1.3. Manipulation. 1.4. Examples and algorithms for preference aggregation -- ch. 2. Vector optimization. 2.1. Definition of unimprovable points. 2.2. Optimization of the hierarchical sequence of quality criteria. 2.3. Tradeoffs. 2.4. The linear convolution of criteria in multicriteria optimization problems. 2.5. Solvability of the vector problem by the linear criteria convolution algorithm. 2.6. The logical criterion vector convolution in the Pareto set approximation problem. 2.7. Computational research on linear criteria convolution in multicriteria discrete programming -- ch. 3. Infinite-valued programming problems. 3.1. Basic notions and propositions. 3.2. Justification of numerical methods for solving infinite-valued programming problems. 3.3. Numerical methods of solution. 3.4. Separable infinite-valued programming problems -- ch. 4. Stochastic programming. 4.1. Stochastic programming models. 4.2. Stochastic programming methods. 4.3. Solution algorithms for stochastic programming problem. 4.4. Existence of a deterministic analog. 4.5. Results. 4.6. An example of applied problem -- ch. 5. Discrete programming. 5.1. A geometric interpretation of integer linear programming methods. 5.2. Equivalent forms and group-theoretic interpretation of discrete programming problems. 5.3. An algorithm for solving the integer linear programming problem. 5.4. The optimality condition and the search method for discrete optimization problems. 5.5. An algorithm for solving mixed integer linear programming problems. 5.6. Solving the large linear programming problem by the dynamic programming method
Ch. 6. Fundamentals of decision making. 6.1. Definition of the decision problem. 6.2. Basic notions of theory of choice. 6.3. Fundamentals of decision making -- ch. 7. Multicriterion optimization problems. 7.1. Multicriterion problems of selection. 7.2. Numerical representation of preference relations. 7.3. Preference representation on probability measures -- ch. 8 Decision making under incomplete information. 8.1. Decision making under incomplete information. 8.2. Decision making under multiple criteria. 8.3. The multilateral decision model -- ch. 9. Multicriterion elements of optimization theory. 9.1. Lexicographic optimization. 9.2. The factor analysis in organizational systems. 9.3. Stability of principles of optimality. 9.4. Game-theoretic decision models -- ch. 10. Decision models. 10.1. Conceptual setting. 10.2. Generalized mathematical programming as a decision model. 10.3. Binary relations in the space of binary relations -- ch. 11. Decision models under fuzzy information. 11.1. Extension of the ordering aspects of well-defined binary relations to the fuzzy case. 11.2. Ordering of binary relations, as based on the notions of approximation and regularization of principles of optimality. 11.3. General methodology for a priori investigation of generalized mathematical programming problems -- ch. 12. The applied mathematical model for conflict management. 12.1. Mathematical control models for tariff policy in the regional fuel and energy complex. 12.2. Computational experiment and appraisal of results
Summary The problem of selection of alternatives or the problem of decision making in the modern world has become the most important class of problems constantly faced by business people, researchers, doctors and engineers. The fields that are almost entirely focused on conflicts, where applied mathematics is successfully used, are law, military science, many branches of economics, sociology, political science, and psychology. There are good grounds to believe that medicine and some branches of biology and ethics can also be included in this list. Modern applied mathematics can produce solutions to many tens of classes of conflicts differing by the composition and structure of the participants, specific features of the set of their objectives or interests, and various characteristics of the set of their actions, strategies, behaviors, controls, and decisions as applied to various principles of selection or notions of decision optimization. The issues of social and economic systems involve the necessity to coordinate and jointly optimize various lines of development and activities of modern society
Bibliography Includes bibliographical references (pages 733-745)
Notes Print version record
Subject Decision making -- Mathematical models.
Computer programming -- Decision making
Decision Support Techniques
COMPUTERS -- Cybernetics.
Decision making -- Mathematical models
Form Electronic book
ISBN 9789812775467
9812775463
128192816X
9781281928160