Verfügbarkeit: Data Processing for the AHP/ANP

Data Processing for the AHP/ANP:

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Bibliographische Detailangaben
1. Verfasser:	Kou, Gang (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Berlin ; Heidelberg Springer 2013
Schriftenreihe:	Quantitative Management
Online-Zugang:	BTU01 FHA01 FHM01 FHN01 FHO01 FHR01 FKE01 FNU01 FWS01 FWS02 HWR01 UBG01 UBM01 UBT01 UBY01 UPA01 Volltext Inhaltsverzeichnis Abstract
Beschreibung:	1 Online-Ressource
ISBN:	9783642292125 9783642292132
DOI:	10.1007/978-3-642-29213-2

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Datensatz im Suchindex

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adam_text	DATA PROCESSING FOR THE AHP/ANP / KOU, GANG : 2013 TABLE OF CONTENTS / INHALTSVERZEICHNIS 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 3.3.2ILLUSTRATIVE 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 DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. DATA PROCESSING FOR THE AHP/ANP / KOU, GANG : 2013 ABSTRACT / INHALTSTEXT 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. TWOAPPLICATIONS OF IBMM INCLUDING RISK ASSESSMENT AND DECISION ANALYSIS, TASK SCHEDULING AND RESOURCE ALLOCATION IN CLOUD COMPUTING ENVIRONMENT,ARE INTRODUCED TO ILLUSTRATE THE PROPOSED IBMM. DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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spellingShingle	Kou, Gang Data Processing for the AHP/ANP
title	Data Processing for the AHP/ANP
title_auth	Data Processing for the AHP/ANP
title_exact_search	Data Processing for the AHP/ANP
title_full	Data Processing for the AHP/ANP Gang Kou, Daji Ergu, Yi Peng, Yong Shi
title_fullStr	Data Processing for the AHP/ANP Gang Kou, Daji Ergu, Yi Peng, Yong Shi
title_full_unstemmed	Data Processing for the AHP/ANP Gang Kou, Daji Ergu, Yi Peng, Yong Shi
title_short	Data Processing for the AHP/ANP
title_sort	data processing for the ahp anp
url	https://doi.org/10.1007/978-3-642-29213-2 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025392115&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025392115&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
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