Fuzzy Stochastic Optimization Theory Models And Applications

In 2014, Winner Of Outstanding Book Award By The Japan Society For Fuzzy Theory And Intelligent Informatics.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 Orderly Fashion From The Requisite Theoretical Aspects Of The Fuzzy Random Variable To Fuzzy Stochastic Optimization Models And Their Real-life Case Studies. The Volume Reflects The Fact That Randomness And Fuzziness (or Vagueness) Are Two Major Sources Of Uncertainty In The Real World, With Significant Implications In A Number Of Settings.