Identificacion Principal del registro INGC-EBK-000342

Control Number Identifier AR-LpUFI

LAST MODIFICATION DATE 20160829153206

CONTROL FIELD cr nn 008mamaa

CONTROL FIELD 140207s2014 gw | s |||| 0|eng d

a International Standard Book Number 9783319033983

a Standard number or code 10.1007/978-3-319-03398-3

a Personal name Xu, Jiuping.

a Title Fuzzy-Like Multiple Objective Multistage Decision Making

h Medium [libro electrónico] /

c Statement of responsibility, etc by Jiuping Xu, Ziqiang Zeng.

a Place of publication, distribution, etc Cham :

b Name of publisher, distributor, etc Springer International Publishing :

b Name of publisher, distributor, etc Imprint: Springer,

c Date of publication, distribution, etc 2014.

a Extent xxiv, 378 p. :

b Other physical details il.

a Series statement Studies in Computational Intelligence,

x International Standard Serial Number 1860-949X ;

v Volume number/sequential designation 533

a Formatted contents note Multiple Objective Multistage Decision Making -- Elements of Fuzzy-Like MOMSDM -- Fuzzy MOMSDM for Dynamic Machine Allocation -- Fuzzy MOMSDM for Closed Multiclass Queuing Networks -- Fuzzy Random MOMSDM for Inventory Management -- Fuzzy Random MOMSDM for Facilities Planning -- Fuzzy Random MOMSDM for Transportation Assignment.

a Summary, etc Decision has inspired reflection of many thinkers since the ancient times. With the rapid development of science and society, appropriate dynamic decision making has been playing an increasingly important role in many areas of human activity including engineering, management, economy and others. In most real-world problems, decision makers usually have to make decisions sequentially at different points in time and space, at different levels for a component or a system, while facing multiple and conflicting objectives and a hybrid uncertain environment where fuzziness and randomness co-exist in a decision making process. This leads to the development of fuzzy-like multiple objective multistage decision making. This book provides a thorough understanding of the concepts of dynamic optimization from a modern perspective and presents the state-of-the-art methodology for modeling, analyzing and solving the most typical multiple objective multistage decision making practical application problems under fuzzy-like uncertainty, including the dynamic machine allocation, closed multiclass queueing networks optimization, inventory management, facilities planning and transportation assignment. A number of real-world engineering case studies are used to illustrate in detail the methodology. With its emphasis on problem-solving and applications, this book is ideal for researchers, practitioners, engineers, graduate students and upper-level undergraduates in applied mathematics, management science, operations research, information system, civil engineering, building construction and transportation optimization.

a Topical term or geographic name as entry element Engineering.

a Topical term or geographic name as entry element Computational Intelligence.

a Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).

a Personal name Zeng, Ziqiang.

u Uniform Resource Identifier (R) http://dx.doi.org/10.1007/978-3-319-03398-3

c item type EBK

a descripción COM