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Introduction to the analytic hierarc...

Brunelli, Matteo.

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Introduction to the analytic hierarchy process

Record Type:	Electronic resources : Monograph/item
Title/Author:	Introduction to the analytic hierarchy process/ by Matteo Brunelli.
Author:	Brunelli, Matteo.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	viii, 83 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction and fundamentals -- Priority vector and consistency -- Missing comparisons and group decisions -- Extensions -- Conclusions.
Contained By:	Springer eBooks
Subject:	Decision making - Mathematical models. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-12502-2
ISBN:	9783319125022 (electronic bk.)

Introduction to the analytic hierarchy process
Brunelli, Matteo.

Introduction to the analytic hierarchy process[electronic resource] /by Matteo Brunelli. - Cham :Springer International Publishing :2015. - viii, 83 p. :ill., digital ;24 cm. - SpringerBriefs in operations research,2195-0482. - SpringerBriefs in operations research..

Introduction and fundamentals -- Priority vector and consistency -- Missing comparisons and group decisions -- Extensions -- Conclusions.

The Analytic Hierarchy Process (AHP) has been one of the foremost mathematical methods for decision making with multiple criteria and has been widely studied in the operations research literature as well as applied to solve countless real-world problems. This book is meant to introduce and strengthen the readers knowledge of the AHP, no matter how familiar they may be with the topic. This book provides a concise, yet self-contained, introduction to the AHP that uses a novel and more pedagogical approach. It begins with an introduction to the principles of the AHP, covering the critical points of the method, as well as some of its applications. Next, the book explores further aspects of the method, including the derivation of the priority vector, the estimation of inconsistency, and the use of AHP for group decisions. Each of these is introduced by relaxing initial assumptions. Furthermore, this booklet covers extensions of AHP, which are typically neglected in elementary expositions of the methods. Such extensions concern different numerical representations of preferences and the interval and fuzzy representations of preferences to account for uncertainty. During the whole exposition, an eye is kept on the most recent developments of the method.

ISBN: 9783319125022 (electronic bk.)

Standard No.: 10.1007/978-3-319-12502-2doiSubjects--Topical Terms:

565918
Decision making
--Mathematical models.

LC Class. No.: HD30.23

Dewey Class. No.: 658.4033

Introduction to the analytic hierarchy process
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100 1 $a Brunelli, Matteo. $3 2133286
245 1 0 $a Introduction to the analytic hierarchy process $h [electronic resource] / $c by Matteo Brunelli.
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300 $a viii, 83 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in operations research, $x 2195-0482
505 0 $a Introduction and fundamentals -- Priority vector and consistency -- Missing comparisons and group decisions -- Extensions -- Conclusions.
520 $a The Analytic Hierarchy Process (AHP) has been one of the foremost mathematical methods for decision making with multiple criteria and has been widely studied in the operations research literature as well as applied to solve countless real-world problems. This book is meant to introduce and strengthen the readers knowledge of the AHP, no matter how familiar they may be with the topic. This book provides a concise, yet self-contained, introduction to the AHP that uses a novel and more pedagogical approach. It begins with an introduction to the principles of the AHP, covering the critical points of the method, as well as some of its applications. Next, the book explores further aspects of the method, including the derivation of the priority vector, the estimation of inconsistency, and the use of AHP for group decisions. Each of these is introduced by relaxing initial assumptions. Furthermore, this booklet covers extensions of AHP, which are typically neglected in elementary expositions of the methods. Such extensions concern different numerical representations of preferences and the interval and fuzzy representations of preferences to account for uncertainty. During the whole exposition, an eye is kept on the most recent developments of the method.
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