Data Processing for the AHP/ANP (Record no. 96895)

000 -LEADER
fixed length control field 05060nam a22004815i 4500
001 - CONTROL NUMBER
control field 978-3-642-29213-2
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140220082846.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 120903s2013 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783642292132
-- 978-3-642-29213-2
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-642-29213-2
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HD30.23
072 #7 - SUBJECT CATEGORY CODE
Subject category code KJT
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code KJMD
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code BUS049000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.40301
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Kou, Gang.
Relator term author.
245 10 - TITLE STATEMENT
Title Data Processing for the AHP/ANP
Medium [electronic resource] /
Statement of responsibility, etc by Gang Kou, Daji Ergu, Yi Peng, Yong Shi.
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2013.
300 ## - PHYSICAL DESCRIPTION
Extent X, 138 p. 22 illus.
Other physical details online resource.
336 ## -
-- text
-- txt
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-- computer
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-- rdamedia
338 ## -
-- online resource
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347 ## -
-- text file
-- PDF
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490 1# - SERIES STATEMENT
Series statement Quantitative Management,
International Standard Serial Number 2194-086X ;
Volume number/sequential designation 1
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note  1: Introduction -- 2: A new consistency test index for the data in the AHP/ANP.-  2.1 Basics of the AHP/ANP -- 2.1.1 The reciprocal pairwise comparison matrix -- 2.1.2 Basics of the AHP -- 2.1.3 Basics of the ANP -- 2.2 Consistency test issue in the AHP/ANP.-  2.2.1. Analysis of the consistency ratio (CR) method -- 2.2.2 The issues of consistency test in the AHP/ANP -- 2.3 The new consistency index——Maximum Eigenvalue Threshold for the AHP/ANP -- 2.3.1 The advantages of Maximum Eigenvalue Threshold for the AHP/ANP -- 2.4 The processes of data consistency test in the AHP/ANP -- 2.5. Illustrative example -- 3: IBMM for inconsistent data identification and adjustment in the AHP/ANP -- 3.1 The theorems of induced bias matrix model (IBMM) -- 3.1.1 The theoretical proofs of IBMM -- 3.2 IBMM for inconsistent data identification and adjustment -- 3.2.1 The basics of the inconsistency identification and adjustment method -- 3.2.2. The processes of inconsistency identification and adjustment method -- 3.2.3 Fast inconsistency identification and adjustment method -- 3.3. Illustrative examples -- 3.3.1 Illustrative examples for general inconsistency identification and adjustment method -- 3.3.2 Illustrative examples for fast inconsistency identification and adjustment method -- 4: IBMM for Missing Data Estimation -- 4.1 Basics of the IBMM for missing data estimation -- 4.2 The processes of estimating missing data by the IBMM -- 4.3 Proofs of the IBMM for IPCM in order three -- 4.4 Illustrative examples -- 4.4.1 Illustrative examples in order three -- 4.4.2 Illustrative examples in order four -- Chapter 5: IBMM for Questionnaire Design Improvement -- 5.1 Motivation of the research -- 5.2 The principles of improving the questionnaire design -- 5.3 Illustrative example -- Chapter 6: IBMM for rank reversal -- 6.1 Rank reversal issue in the AHP/ANP -- 6.2 Sensitivity analysis of rank reversal by the IBMM -- 6.3 Illustrative examples -- 7: Applications of IBMM -- 7.1 Task scheduling and resource allocation in cloud computing environment by the IBMM -- 7.1.1 Resource allocation in cloud computing -- 7.1.2 Task-oriented resource allocation in cloud computing -- 7.1.3 Illustrative example -- 7.2 Risk assessment and decision analysis by the IBMM -- 7.2.1 Background of risk assessment and decision analysis -- 7.2.2 Illustrative Examples -- 8. Induced Arithmetic Average Bias Matrix Model (IAABMM) -- 8.1 The theorem of IAABMM -- 8.2 The inconsistency identification processes of IAABMM -- 8.3 The estimating formula of inconsistency adjustment -- 8.4. Illustrative Examples -- References.
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Economics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Operations research.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Economics/Management Science.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Operation Research/Decision Theory.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ergu, Daji.
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Peng, Yi.
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Shi, Yong.
Relator term author.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783642292125
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Quantitative Management,
-- 2194-086X ;
Volume number/sequential designation 1
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-29213-2
912 ## -
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