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Autor(en): 
  • Po-Lung Yu
  • Moussa Larbani
  • Wonderful Solutions and Habitual Domains for Challenging Problems in Changeable Spaces: From Theoretical Framework to Applications 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  September 2016  
    Genre:  Wirtschaft / Recht 
     
    Artificial Intelligence / B / Business and Management / Decision Making / Industrial Management / Innovation/Technology Management / Management / Management & management techniques / Management decision making / Management science / Mathematical optimization / Operations Research / Operations Research and Decision Theory / Operations Research/Decision Theory / Optimization / Research & development management
    ISBN:  9789811019791 
    EAN-Code: 
    9789811019791 
    Verlag:  Springer Nature EN 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  5797 gr 
    Seiten:  275 
    Illustration:  XXVII, 275 p. 17 illus., schwarz-weiss Illustrationen 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book introduces a new paradigm called 'Optimization in Changeable Spaces' (OCS) as a useful tool for decision making and problem solving. It illustrates how OCS incorporates, searches, and constructively restructures the parameters, tangible and intangible, involved in the process of decision making. The book elaborates on OCS problems that can be modeled and solved effectively by using the concepts of competence set analysis, Habitual Domain (HD) and the mental operators called the 7-8-9 principles of deep knowledge of HD. In addition, new concepts of covering and discovering processes are proposed and formulated as mathematical tools to solve OCS problems. The book also includes reformulations of a number of illustrative real-life challenging problems that cannot be solved by traditional optimization techniques into OCS problems, and details how they can be addressed. Beyond that, it also includes perspectives related to innovation dynamics, management, artificial intelligence,artificial and e-economics, scientific discovery and knowledge extraction. This book will be of interest to managers of businesses and institutions, policy makers, and educators and students of decision making and behavior in DBA and/or MBA.
      



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