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Random-Like Bi-level Decision Making (Paperback, 1st ed. 2016) Loot Price: R2,357
Discovery Miles 23 570
Repayment Terms: R221 pm x 12*
Random-Like Bi-level Decision Making (Paperback, 1st ed. 2016): Jiuping Xu, Zongmin Li, Zhimiao Tao

Random-Like Bi-level Decision Making (Paperback, 1st ed. 2016)

Jiuping Xu, Zongmin Li, Zhimiao Tao

Series: Lecture Notes in Economics and Mathematical Systems, 688

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Loot Price R2,357 Discovery Miles 23 570 | Repayment Terms: R221 pm x 12*

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Among the various multi-level formulations of mathematical models in decision making processes, this book focuses on the bi-level model. Being the most frequently used, the bi-level model addresses conflicts which exist in multi-level decision making processes. From the perspective of bi-level structure and uncertainty, this book takes real-life problems as the background, focuses on the so-called random-like uncertainty, and develops the general framework of random-like bi-level decision making problems. The random-like uncertainty considered in this book includes random phenomenon, random-overlapped random (Ra-Ra) phenomenon and fuzzy-overlapped random (Ra-Fu) phenomenon. Basic theory, models, algorithms and practical applications for different types of random-like bi-level decision making problems are also presented in this book.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Series: Lecture Notes in Economics and Mathematical Systems, 688
Release date: August 2016
First published: 2016
Authors: Jiuping Xu • Zongmin Li • Zhimiao Tao
Dimensions: 235 x 155 x 22mm (L x W x T)
Format: Paperback
Pages: 401
Edition: 1st ed. 2016
ISBN-13: 978-981-10-1767-4
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
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LSN: 981-10-1767-0
Barcode: 9789811017674

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