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Autor(en): 
  • Panos Kouvelis
  • Gang Yu
  • Robust Discrete Optimization and Its Applications 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  November 1996  
    Genre:  EDV / Informatik 
     
    Algorithmen und Datenstrukturen / Algorithms / Algorithmus / complexity / Computer / computerscience / Entscheidungstheorie / linearoptimization
    ISBN:  9780792342915 
    EAN-Code: 
    9780792342915 
    Verlag:  Springer 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 241 mm / B 160 mm / D 25 mm 
    Gewicht:  732 gr 
    Seiten:  378 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book deals with decision making in environments of significant data un­ certainty, with particular emphasis on operations and production management applications. For such environments, we suggest the use of the robustness ap­ proach to decision making, which assumes inadequate knowledge of the decision maker about the random state of nature and develops a decision that hedges against the worst contingency that may arise. The main motivating factors for a decision maker to use the robustness approach are: ¿ It does not ignore uncertainty and takes a proactive step in response to the fact that forecasted values of uncertain parameters will not occur in most environments; ¿ It applies to decisions of unique, non-repetitive nature, which are common in many fast and dynamically changing environments; ¿ It accounts for the risk averse nature of decision makers; and ¿ It recognizes that even though decision environments are fraught with data uncertainties, decisions are evaluated ex post with the realized data. For all of the above reasons, robust decisions are dear to the heart of opera­ tional decision makers. This book takes a giant first step in presenting decision support tools and solution methods for generating robust decisions in a variety of interesting application environments. Robust Discrete Optimization is a comprehensive mathematical programming framework for robust decision making.

      



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