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The Multi-Criteria Approach for Decision Support - An Introduction with Practical Applications (Hardcover, 1st ed. 2020) Loot Price: R1,408
Discovery Miles 14 080
Repayment Terms: R132 pm x 12*
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The Multi-Criteria Approach for Decision Support - An Introduction with Practical Applications (Hardcover, 1st ed. 2020): Lotfi...

The Multi-Criteria Approach for Decision Support - An Introduction with Practical Applications (Hardcover, 1st ed. 2020)

Lotfi Azzabi, Dorra Azzabi, Abdessamad Kobi

Series: International Series in Operations Research & Management Science, 300

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Loot Price R1,408 Discovery Miles 14 080 | Repayment Terms: R132 pm x 12*

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This book presents the multi-criteria approach to decision support, as well as the various multi-criteria tools to help avoid multi-objective optimization. The book is intended as a tool for understanding the multi-criteria tools for decision support and modeling in mathematical programming. It helps to structure models, to easily model complex constraints, to have a basic modeling guide for any multi-criteria system and to better understand models already existing in the literature. The book is structured in the same order as components of the methodology, established in a multi-criteria optimization problem. It introduces the elements of the actors, the decision-making activity under criteria, calculations, specifications and objective criterion.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: International Series in Operations Research & Management Science, 300
Release date: September 2020
First published: 2020
Authors: Lotfi Azzabi • Dorra Azzabi • Abdessamad Kobi
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 84
Edition: 1st ed. 2020
ISBN-13: 978-3-03-057261-7
Categories: Books > Business & Economics > Business & management > Management & management techniques > Operational research
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
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LSN: 3-03-057261-7
Barcode: 9783030572617

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