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The Resource Fuzzy stochastic optimization : theory, models and applications, Shuming Wang, Junzo Watada, (electronic resource)
Fuzzy stochastic optimization : theory, models and applications, Shuming Wang, Junzo Watada, (electronic resource)
Resource Information
The item Fuzzy stochastic optimization : theory, models and applications, Shuming Wang, Junzo Watada, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.This item is available to borrow from all library branches.
Resource Information
The item Fuzzy stochastic optimization : theory, models and applications, Shuming Wang, Junzo Watada, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.
This item is available to borrow from all library branches.
 Summary
 Covering in detail both theoretical and practical perspectives, this book is a selfcontained 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 reallife 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 cooccurrence 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
 Language
 eng
 Extent
 1 online resource (xvi, 248 p.)
 Contents

 Part I: Theory
 Fuzzy Random Variable
 Fuzzy Stochastic Renewal Processes
 Part II: Models
 System Reliability Optimization Models with Fuzzy Random Lifetimes
 RecourseBased Fuzzy Random Facility Location Model with Fixed Capacity
 TwoStage Fuzzy Stochastic Programming with ValueatRisk: A Generic Model
 VaRBased Fuzzy Random Facility Location Model with Variable Capacity
 Part III: RealLife Applications
 Isbn
 9781441995605
 Label
 Fuzzy stochastic optimization : theory, models and applications
 Title
 Fuzzy stochastic optimization
 Title remainder
 theory, models and applications
 Statement of responsibility
 Shuming Wang, Junzo Watada
 Subject

 Fuzzy mathematics
 Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
 IngĂ©nierie
 Mathematical optimization
 Fuzzy mathematics
 Electronic books
 Mathematical optimization
 Mathematical optimization
 Mathematical optimization
 Mathematical optimization
 Fuzzy mathematics
 Mathematical optimization.
 Computational Intelligence
 Fuzzy mathematics
 Fuzzy mathematics
 Fuzzy mathematics
 Computational Intelligence.
 Electronic resources
 Optimization
 Engineering.
 Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
 MATHEMATICS / Optimization
 Optimization.
 Mathematical optimization
 Language
 eng
 Summary
 Covering in detail both theoretical and practical perspectives, this book is a selfcontained 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 reallife 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 cooccurrence 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
 Cataloging source
 GW5XE
 http://library.link/vocab/creatorName
 Wang, Shuming
 Image bit depth
 0
 LC call number
 QA402.5
 LC item number
 .W36 2012
 Literary form
 non fiction
 Nature of contents
 dictionaries
 http://library.link/vocab/relatedWorkOrContributorName

 SpringerLink
 Watada, J.
 http://library.link/vocab/subjectName

 Mathematical optimization
 Fuzzy mathematics
 MATHEMATICS / Optimization
 Computational Intelligence
 Optimization
 Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
 Fuzzy mathematics
 Mathematical optimization
 IngĂ©nierie
 Label
 Fuzzy stochastic optimization : theory, models and applications, Shuming Wang, Junzo Watada, (electronic resource)
 Antecedent source
 mixed
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online bron
 Carrier category code
 cr
 Carrier MARC source
 rdacarrier/dut
 Color
 not applicable
 Content category
 tekst
 Content type code
 txt
 Content type MARC source
 rdacontent/dut
 Contents
 Part I: Theory  Fuzzy Random Variable  Fuzzy Stochastic Renewal Processes  Part II: Models  System Reliability Optimization Models with Fuzzy Random Lifetimes  RecourseBased Fuzzy Random Facility Location Model with Fixed Capacity  TwoStage Fuzzy Stochastic Programming with ValueatRisk: A Generic Model  VaRBased Fuzzy Random Facility Location Model with Variable Capacity  Part III: RealLife Applications
 Dimensions
 unknown
 Extent
 1 online resource (xvi, 248 p.)
 File format
 multiple file formats
 Form of item

 online
 electronic
 Isbn
 9781441995605
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia/dut
 Media type code
 c
 Other control number
 10.1007/9781441995605
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number

 (OCoLC)781942942
 (OCoLC)ocn781942942
 Label
 Fuzzy stochastic optimization : theory, models and applications, Shuming Wang, Junzo Watada, (electronic resource)
 Antecedent source
 mixed
 Bibliography note
 Includes bibliographical references and index
 Carrier category
 online bron
 Carrier category code
 cr
 Carrier MARC source
 rdacarrier/dut
 Color
 not applicable
 Content category
 tekst
 Content type code
 txt
 Content type MARC source
 rdacontent/dut
 Contents
 Part I: Theory  Fuzzy Random Variable  Fuzzy Stochastic Renewal Processes  Part II: Models  System Reliability Optimization Models with Fuzzy Random Lifetimes  RecourseBased Fuzzy Random Facility Location Model with Fixed Capacity  TwoStage Fuzzy Stochastic Programming with ValueatRisk: A Generic Model  VaRBased Fuzzy Random Facility Location Model with Variable Capacity  Part III: RealLife Applications
 Dimensions
 unknown
 Extent
 1 online resource (xvi, 248 p.)
 File format
 multiple file formats
 Form of item

 online
 electronic
 Isbn
 9781441995605
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia/dut
 Media type code
 c
 Other control number
 10.1007/9781441995605
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number

 (OCoLC)781942942
 (OCoLC)ocn781942942
Subject
 Computational Intelligence
 Computational Intelligence.
 Electronic books
 Electronic resources
 Engineering.
 Fuzzy mathematics
 Fuzzy mathematics
 Fuzzy mathematics
 Fuzzy mathematics
 Fuzzy mathematics
 Fuzzy mathematics
 IngĂ©nierie
 MATHEMATICS / Optimization
 Mathematical optimization
 Mathematical optimization
 Mathematical optimization
 Mathematical optimization
 Mathematical optimization
 Mathematical optimization
 Mathematical optimization.
 Optimization
 Optimization.
 Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
 Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Genre
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