000 03114nam a22004455i 4500
001 978-1-4419-9560-5
003 DE-He213
005 20140220083234.0
007 cr nn 008mamaa
008 120319s2012 xxu| s |||| 0|eng d
020 _a9781441995605
_9978-1-4419-9560-5
024 7 _a10.1007/978-1-4419-9560-5
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
100 1 _aWang, Shuming.
_eauthor.
245 1 0 _aFuzzy Stochastic Optimization
_h[electronic resource] :
_bTheory, Models and Applications /
_cby Shuming Wang, Junzo Watada.
264 1 _aBoston, MA :
_bSpringer US,
_c2012.
300 _aXVI, 250 p. 64 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aPart 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.
520 _aCovering 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. In industrial engineering, management and economics, the chances are high that decision makers will be confronted with information that is simultaneously probabilistically uncertain and fuzzily imprecise, and optimization in the form of a decision must be made in an environment that is doubly uncertain, characterized by a co-occurrence of randomness and fuzziness. This book begins by outlining the history and development of the fuzzy random variable before detailing numerous optimization models and applications that include the design of system controls for a dam.
650 0 _aEngineering.
650 0 _aMathematical optimization.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aOptimization.
650 2 4 _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
700 1 _aWatada, Junzo.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781441995599
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4419-9560-5
912 _aZDB-2-ENG
999 _c100585
_d100585