Data Processing for the AHP/ANP

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