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Data Processing for the AHP/ANP

von Daji Ergu, Gang Kou, Yi Peng und Yong Shi
Softcover - 9783642433801
53,49 €
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Hardcover - 9783642292125
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Hardcover - 9783642292125
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Beschreibung

The positive reciprocal pairwise comparison matrix (PCM) is one of the key components which is used to quantify the qualitative and/or intangible attributes into measurable quantities. This book examines six understudied issues of PCM, i.e. consistency test, inconsistent data identification and adjustment, data collection, missing or uncertain data estimation, and sensitivity analysis of rank reversal. The maximum eigenvalue threshold method is proposed as the new consistency index for the AHP/ANP. An induced bias matrix model (IBMM) is proposed to identify and adjust the inconsistent data, and estimate the missing or uncertain data. Two applications of IBMM including risk assessment and decision analysis, task scheduling and resource allocation in cloud computing environment, are introduced to illustrate the proposed IBMM.

Details

Verlag Springer Berlin
Ersterscheinung 09. August 2014
Maße 23.5 cm x 15.5 cm
Gewicht 454 Gramm
Format Softcover
ISBN-13 9783642433801
Auflage 2013
Seiten 138