Random-Like Multiple Objective Decision Making: Lecture Notes in Economics and Mathematical Systems, cartea 647
Autor Jiuping Xu, Liming Yaoen Limba Engleză Paperback – 26 mar 2011
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Specificații
ISBN-13: 9783642179990
ISBN-10: 3642179991
Pagini: 420
Ilustrații: XX, 436 p. 97 illus.
Dimensiuni: 155 x 235 x 28 mm
Greutate: 0.77 kg
Ediția:2011
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Economics and Mathematical Systems
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642179991
Pagini: 420
Ilustrații: XX, 436 p. 97 illus.
Dimensiuni: 155 x 235 x 28 mm
Greutate: 0.77 kg
Ediția:2011
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Economics and Mathematical Systems
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Random Set Theory.- Random Multiple Objective Decision Making.- Bi-random Multiple Objective Decision Making.- Random Fuzzy Multiple Objective Decision Making.- Random Rough Multiple Objective Decision Making.- Methodological System for RLMODM.- Some Mathematical Aids.- Some Procedures.
Textul de pe ultima copertă
What are the random-like phenomena that can be found everywhere in real-life world? When carrying out a random sampling survey on the traffic situation, we often obtain some descriptive results such as approximately expedite, a little crowded and so on, therefore, the average level should be regarded as the random fuzzy phenomenon, which is one of the random-like phenomena. Decision makers usually need to make the decision for these problems with random-like phenomena. Which model should be constructed for them? How should we handle these models to find the optimal strategy? How can we apply these models to solve real-life problems with random-like phenomena? In order to answer these questions, this book provides an up-to-date methodology system 5MRP for random-like multiple objective decision making, which includes problem system with random-like phenomena, model system with random-like coefficients, research system with random-like uncertain methods. Some practical applications are also provided to illustrate the effectiveness of the proposed methodology system. Researchers, practitioners and students in systems science, economics, mathematics, information, engineering and MS/OR will get a lot of useful references from this research monograph.
Caracteristici
Numerous multi-objective programming models with random-like parameters help readers to solve realistic problems Hybrid intelligent algorithms help to solve multi-objective programming problems with random-like coefficients Practical applications show a realistic environment of the models A special chapter on the methodological system for RLMODM prepares readers for the future research Includes supplementary material: sn.pub/extras