Fuzzy stochastic optimization : theory, models and applications

Covering in detail both theoretical and practical perspectives, this book is a self-contained and systematic depiction of current fuzzy stochastic optimization that deploys the fuzzy random variable as a core mathematical tool to model the integrated fuzzy random uncertainty. It proceeds in an order...

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Asıl Yazarlar: Wang, Shuming, Watada, Junzo (Yazar)
Materyal Türü: Livre numérique
Dil:Anglais
Baskı/Yayın Bilgisi: New York, NY : Springer New York 2012.
Cham : Springer Nature
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Accès Université d'Orléans
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Not: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Fuzzy Stochastic Optimization, Texte imprimé, 9781441995599
• Fuzzy Stochastic Optimization, Texte imprimé, 9781441995612
• Fuzzy Stochastic Optimization, Texte imprimé, 9781489992734
İçindekiler:
  • Part I: Theory
  • Fuzzy Random Variable
  • Fuzzy Stochastic Renewal Processes
  • Part II: Models
  • System Reliability Optimization Models with Fuzzy Random Lifetimes
  • Recourse-Based Fuzzy Random Facility Location Model with Fixed Capacity
  • Two-Stage Fuzzy Stochastic Programming with Value-at-Risk: A Generic Model
  • VaR-Based Fuzzy Random Facility Location Model with Variable Capacity
  • Part III: Real-Life Applications.