Models and methods for interval-valu...
Li, Deng-Feng.

 

  • Models and methods for interval-valued cooperative games in economic management[electronic resource] /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    杜威分類號: 519.3
    書名/作者: Models and methods for interval-valued cooperative games in economic management/ by Deng-Feng Li.
    作者: Li, Deng-Feng.
    出版者: Cham : : Springer International Publishing :, 2016.
    面頁冊數: xvii, 137 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Cooperative games (Mathematics)
    標題: Economics.
    標題: Game Theory.
    標題: Artificial Intelligence (incl. Robotics)
    標題: Game Theory, Economics, Social and Behav. Sciences.
    標題: Supply Chain Management.
    ISBN: 9783319289984
    ISBN: 9783319289960
    內容註: 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.
    摘要、提要註: 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 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.
    電子資源: http://dx.doi.org/10.1007/978-3-319-28998-4
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