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Multi-criteria analysis: a manual

Multi-criteria analysis: a manual

Department for Communities and Local Government: London

January 2009


Chapter 1 The scope and objectives of this manual

Chapter 2 Appraisal and evaluation in government

2.1 Introduction

2.2 The decision making process

2.3 Identifying objectives

2.4 Identifying options for achieving the objectives

2.5 Identifying the criteria to be used to compare the options

2.6 Analysis of the options

2.7 Making choices

2.8 Feedback

2.9 Sequences of decisions through time

Chapter 3 Monetary-based techniques

3.1 Introduction

3.2 Financial analysis

3.3 Cost-effectiveness analysis

3.4 Cost-benefit analysis

3.5 Inclusion of the results of monetary analyses in an MCA framework

Chapter 4 An overview of multi-criteria analysis techniques

4.1 Introduction

4.2 Criteria for selecting MCA techniques

4.3 Key features of MCA

4.4 Different types of MCA

4.5 Direct analysis of the performance matrix

4.6 Multi-attribute utility theory

4.7 Linear additive models

4.8 The Analytical Hierarchy Process

4.9 Outranking methods

4.10 Procedures that use qualitative data inputs

4.11 MCA methods based on fuzzy sets

4.12 Other MCA methods

4.13 Application of MCA in government

Chapter 5 Decisions without weights: construction of a performance matrix

5.1 The stages of a multi-criteria analysis

5.2 Step 1: Establishing the decision context

5.3 Step 2: Identifying options

5.4 Step 3: Identifying criteria and sub-criteria

5.5 Step 4 and beyond (without scoring and weighting)

5.6 Step 4: Assessing performance levels (with scoring)

Chapter 6 Multi-criteria decision analysis

6.1 What is MCDA?

6.2 Stages in MCDA

6.3 Uncertainty, Risk and MCDA

Chapter 7 Case studies

7.1 The new approach to appraisal for transport

7.2 UK applications of MCDA

7.3 The NAO case study: evaluation of overseas trade services

7.4 The Nirex case study: appraisal of sites for further investigation as potential repositories for radioactive waste

7.5 Medium term revenue budget planning

7.6 Lessons from the MCDA case studies

Appendix 1 Continuous MCA models (infinitely variable alternatives)

Appendix 2 Non-compensatory methods

Appendix 3 Multi-attribute utility models

Appendix 4 Linear additive models

Appendix 5 The analytical hierarchy process

Appendix 6 Outranking methods

Appendix 7 Outranking methods with qualitative data

Appendix 8 Fuzzy MCA

Appendix 9 Using MCA to explore stakeholder viewpoints

Appendix 10 Probabilities to preferences







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