Data Processing for the AHP/ANP

Business & Finance, Management & Leadership, Operations Research
Cover of the book Data Processing for the AHP/ANP by Daji Ergu, Yong Shi, Gang Kou, Yi Peng, Springer Berlin Heidelberg
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Daji Ergu, Yong Shi, Gang Kou, Yi Peng ISBN: 9783642292132
Publisher: Springer Berlin Heidelberg Publication: September 3, 2012
Imprint: Springer Language: English
Author: Daji Ergu, Yong Shi, Gang Kou, Yi Peng
ISBN: 9783642292132
Publisher: Springer Berlin Heidelberg
Publication: September 3, 2012
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer Berlin Heidelberg

Cover of the book Grundfragen der Medienwirtschaft by Daji Ergu, Yong Shi, Gang Kou, Yi Peng
Cover of the book Tier- und Humanphysiologie by Daji Ergu, Yong Shi, Gang Kou, Yi Peng
Cover of the book CSR und Innovationsmanagement by Daji Ergu, Yong Shi, Gang Kou, Yi Peng
Cover of the book Ages, Geochemistry and Metamorphism of Neoarchean Basement in Shandong Province by Daji Ergu, Yong Shi, Gang Kou, Yi Peng
Cover of the book DNA and RNA Nanobiotechnologies in Medicine: Diagnosis and Treatment of Diseases by Daji Ergu, Yong Shi, Gang Kou, Yi Peng
Cover of the book Glassy Metals by Daji Ergu, Yong Shi, Gang Kou, Yi Peng
Cover of the book Distance Expanding Random Mappings, Thermodynamical Formalism, Gibbs Measures and Fractal Geometry by Daji Ergu, Yong Shi, Gang Kou, Yi Peng
Cover of the book Collective Choice by Daji Ergu, Yong Shi, Gang Kou, Yi Peng
Cover of the book Metronomic Chemotherapy by Daji Ergu, Yong Shi, Gang Kou, Yi Peng
Cover of the book Complexity Theories of Cities Have Come of Age by Daji Ergu, Yong Shi, Gang Kou, Yi Peng
Cover of the book Sandostatin® in the Treatment of Gastroenteropancreatic Endocrine Tumors by Daji Ergu, Yong Shi, Gang Kou, Yi Peng
Cover of the book Einzel- oder Generalplaner - die optimale Planereinsatzform by Daji Ergu, Yong Shi, Gang Kou, Yi Peng
Cover of the book The Internet for Surgeons by Daji Ergu, Yong Shi, Gang Kou, Yi Peng
Cover of the book Histological Typing of Kidney Tumours by Daji Ergu, Yong Shi, Gang Kou, Yi Peng
Cover of the book Gestalt im Management by Daji Ergu, Yong Shi, Gang Kou, Yi Peng
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy