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Record Nr. |
UNINA9910254862703321 |
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Autore |
Li Deng-Feng |
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Titolo |
Models and methods for interval-valued cooperative games in economic management / / by Deng-Feng Li |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
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ISBN |
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Edizione |
[1st ed. 2016.] |
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Descrizione fisica |
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1 online resource (153 p.) |
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Disciplina |
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Soggetti |
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Game theory |
Artificial intelligence |
Business logistics |
Game Theory |
Artificial Intelligence |
Game Theory, Economics, Social and Behav. Sciences |
Supply Chain Management |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Nota di contenuto |
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The Interval-Valued Least Square Solutions of Interval-Valued Cooperative Games -- Satisfactory Interval-Valued Cores of Interval-Valued Cooperative Games -- Several Interval-Valued Solutions of Interval-Valued Cooperative Games and Simplified Methods. |
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Sommario/riassunto |
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This book proposes several commonly used interval-valued solution concepts of interval-valued cooperative games with transferable utility. It thoroughly investigates these solutions, thereby establishing the properties, models, methods, and applications. The first chapter proposes the interval-valued least square solutions and quadratic programming models, methods, and properties. Next, the satisfactory-degree-based non-linear programming models for computing interval-valued cores and corresponding bisection algorithm are explained. Finally, the book explores several simplification methods of interval-valued solutions: the interval-valued equal division and equal surplus division values; the interval-valued Shapley, egalitarian Shapley, and discounted Shapley values; the interval-valued solidarity and |
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generalized solidarity values; and the interval-valued Banzhaf value. This book is designed for individuals from different fields and disciplines, such as decision science, game theory, management science, operations research, fuzzy sets or fuzzy mathematics, applied mathematics, industrial engineering, finance, applied economics, expert system, and social economy as well as artificial intelligence. Moreover, it is suitable for teachers, postgraduates, and researchers from different disciplines: decision analysis, management, operations research, fuzzy mathematics, fuzzy system analysis, applied mathematics, systems engineering, project management, supply chain management, industrial engineering, applied economics, and hydrology and water resources. |
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