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Reduction of the Pareto Set - An Axiomatic Approach (Hardcover, 1st ed. 2018) Loot Price: R3,559
Discovery Miles 35 590
You Save: R282 (7%)
Reduction of the Pareto Set - An Axiomatic Approach (Hardcover, 1st ed. 2018): Vladimir D. Noghin

Reduction of the Pareto Set - An Axiomatic Approach (Hardcover, 1st ed. 2018)

Vladimir D. Noghin

Series: Studies in Systems, Decision and Control, 126

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List price R3,841 Loot Price R3,559 Discovery Miles 35 590 | Repayment Terms: R334 pm x 12* You Save R282 (7%)

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This book focuses on the issues of decision-making with several numerical criteria. It introduces an original general approach to solving multicriteria problems given quantitative information about the preference relation of a decision-maker. It considers the problems with crisp as well as fuzzy preference relations, accepting the four axioms of "reasonable choice". Further, it defines the notion of an information quantum about the preference relation of a decision-maker and studies the reduction of the Pareto set using a finite collection of information quanta, demonstrating that the original approach yields a good approximation for the set of nondominated alternatives in a multicriteria problem. Lastly, it analyzes a possible combination of the axiomatic approach with other well-known methods. Intended for a wide range of professionals involved in solving multicriteria problems, including researchers, design engineers, product engineers, developers and analysts, the book is also a valuable resource for undergraduate and postgraduate students of mathematics, economics, and engineering.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Studies in Systems, Decision and Control, 126
Release date: October 2017
First published: 2018
Authors: Vladimir D. Noghin
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 232
Edition: 1st ed. 2018
ISBN-13: 978-3-319-67872-6
Categories: Books > Reference & Interdisciplinary > Communication studies > Decision theory > General
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LSN: 3-319-67872-8
Barcode: 9783319678726

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