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Multi-criteria analysis: a manual
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Abstract: Copyright in the typographical arrangement rests with the Crown. This publication, excluding logos, may be reproduced free of charge in any format or medium for research, private study or for internal circulation within an organisation. This is subject to it being reproduced accurately and not used in a misleading context. The material must be acknowledged as Crown copyright and the title of the publication specified.
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TL;DR: Improved scoring and weighting approach of MCDA increases the differentiation between the most and least harmful drugs, however, the findings correlate poorly with present UK drug classification, which is not based simply on considerations of harm.
1,298Â citations
TL;DR: In this paper, an extensive review in the sphere of sustainable energy has been performed by utilizing multiple criteria decision making (MCDM) technique and future prospects in this area are discussed.
Abstract: In the current era of sustainable development, energy planning has become complex due to the involvement of multiple benchmarks like technical, social, economic and environmental. This in turn puts major constraints for decision makers to optimize energy alternatives independently and discretely especially in case of rural communities. In addition, topographical limitations concerning renewable energy systems which are mostly distributed in nature, the energy planning becomes more complicated. In such cases, decision analysis plays a vital role for designing such systems by considering various criteria and objectives even at disintegrated levels of electrification. Multiple criteria decision making (MCDM) is a branch of operational research dealing with finding optimal results in complex scenarios including various indicators, conflicting objectives and criteria. This tool is becoming popular in the field of energy planning due to the flexibility it provides to the decision makers to take decisions while considering all the criteria and objectives simultaneously. This article develops an insight into various MCDM techniques, progress made by considering renewable energy applications over MCDM methods and future prospects in this area. An extensive review in the sphere of sustainable energy has been performed by utilizing MCDM technique.
983Â citations
TL;DR: This paper presents the Pareto and scalarization method, which creates multi-objective functions made into a single solution using weights, and the solution is a performance indicators component that forms a scalar function which is incorporated in the fitness function.
Abstract: Several reviews have been made regarding the methods and application of multi-objective optimization (MOO). There are two methods of MOO that do not require complicated mathematical equations, so t...
375Â citations
10 Oct 2008
368Â citations
TL;DR: In this article, the authors explored the potential options for deepening and broadening the LCA methodologies beyond the current ISO framework for improved sustainability analysis by investigating several environmental, economic and social assessment methods.
321Â citations
References
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Book•
01 Jan 1976TL;DR: In this article, a confused decision maker, who wishes to make a reasonable and responsible choice among alternatives, can systematically probe his true feelings in order to make those critically important, vexing trade-offs between incommensurable objectives.
Abstract: Many of the complex problems faced by decision makers involve multiple conflicting objectives. This book describes how a confused decision maker, who wishes to make a reasonable and responsible choice among alternatives, can systematically probe his true feelings in order to make those critically important, vexing trade-offs between incommensurable objectives. The theory is illustrated by many real concrete examples taken from a host of disciplinary settings. The standard approach in decision theory or decision analysis specifies a simplified single objective like monetary return to maximise. By generalising from the single objective case to the multiple objective case, this book considerably widens the range of applicability of decision analysis.
8,895Â citations
Book•
01 Aug 1989
TL;DR: Mathematical Background Topics from Linear Algebra Single Objective Linear Programming Determining all Alternative Optima Comments about Objective Row Parametric Programming Utility Functions, Nondominated Criterion Vectors and Efficient Points Point Estimate Weighted-sums Approach.
Abstract: Mathematical Background Topics from Linear Algebra Single Objective Linear Programming Determining all Alternative Optima Comments about Objective Row Parametric Programming Utility Functions, Nondominated Criterion Vectors and Efficient Points Point Estimate Weighted-sums Approach Optimal Weighting Vectors, Scaling and Reduced Feasible Region Methods Vector-Maximum Algorithms Goal Programming Filtering and Set Discretization Multiple Objective Linear Fractional Programming Interactive Procedures Interactive Weighted Tchebycheff Procedure Tchebycheff/Weighted-Sums Implementation Applications Future Directions Index.
3,280Â citations
Book•
01 Apr 1992
TL;DR: In this paper, the authors present a framework of value-focused thinking in the context of strategic thinking and action, which is used in a variety of applications, e.g., NASA, NASA Leadership in Space, Air Pollution in Los Angeles, and many others.
Abstract: PART 1: Concepts 1. Thinking about Values 1.1 Value-Focused Thinking 1.2 Creating Alternatives 1.3 Identifying Decision Opportunities 1.4 Thinking about Values 1.5 The Uses of Value-Focused Thinking 2. The Framework of Value-Focused Thinking 2.1 Framing a Decision Situation 2.2 Fundamental Objectives 2.3 The Decision Context 2.4 Guiding Strategic Thinking and Action 2.5 The Framework 2.6 Comparing Alternative-Focused and Value-Focused Thinking 2.7 Ethics and Value Neutrality Part 2: Foundations 3. Identifying and Structuring Objectives 3.1 Identifying Objectives 3.2 Identifying Fundamental Objectives 3.3 Structures of Objectives 3.4 How to Structure Objectives 3.5 Desirable Properties of Fundamental Objectives 3.6 Relating Objectives Hierarchies and Objectives Networks 3.7 Incomplete Objectives Hierarchies and Networks 3.8 Objectives Hierarchies for Groups 4. Measuring the Achievement of Objectives 4.1 The Concept of an Attribute 4.2 The Types of Attributes 4.3 Developing Constructed Attributes 4.4 Use of Proxy Attributes 4.5 Desirable Properties of Attributes 4.6 The Decision of Selecting Attributes 4.7 Connecting Decision Situations with Attributes 5. Quantifying Objectives with a Value Model 5.1 Building a Value Model 5.2 Multiple-Objective Value Models 5.3 Single-Objective Value Models 5.4 Prioritizing Objectives 5.5 The Art of Assessing Value Models 5.6 Issues to Consider in Value Assessments Part 3: Uses 6. Uncovering Hidden Objectives 6.1 Insights from Attributes 6.2 Insights from Violations of Independence Assumptions 6.3 Insights from Value Tradeoffs 6.4 Insights from Single-Attribute Objective Functions 6.5 Insights from Multiple Value Assessments 7. Creating Alternatives for a Single Decisionmaker 7.1 Counteracting Cognitive Biases 7.2 Use of Objectives 7.3 Use of Strategic Objectives 7.4 Focus on High-Value Alternatives 7.5 Use of Evaluated Alternatives 7.6 Generic Alternatives 7.7 Coordinated Alternatives 7.8 Process Alternatives 7.9 Removing Constraints 7.10 Better Utilization of Resources 7.11 Screening to Identify Good Alternatives 7.12 Alternatives for a Series of Similar Decisions 8. Creating Alternatives for Multiple Decisionmakers 8.1 Pleasing Other Stakeholders 8.2 Stakeholder Influence on Your Consequences 8.3 Clarifying Stakeholder Values for Group Decisions 8.4 Creating Alternatives for Negotiations 9. Identifying Decision Opportunities 9.1 Use of Strategic Objectives 9.2 Use of Resources Available 9.3 A Broader Decision Context 9.4 Monitoring Achievement 9.5 Establishing a Process 9.6 Negotiating for Your Side and for the Other Side 9.7 Being in the Right Place at the Right Time 9.8 When You Have No Idea about What to Do 10. Insights for the Decisionmaking Process 10.1 Guiding Information Collection 10.2 Evaluating Alternatives 10.3 Interconnecting Decisions 10.4 Improving Communication 10.5 Facilitating Involvement in Multiple-Stakeholder Decisions 10.6 Guiding Strategic Thinking Part 4: Applications 11. Selected Applications 11.1 NASA Leadership in Space 11.2 Transporting Nuclear Waste 11.3 Research on Climate Change 11.4 Air Pollution in Los Angeles 11.5 Design of Integrated Circuit Testers 11.6 Collaborating on a Book 12. Value-Focused Thinking at British Columbia Hydra 12.1 Identification and Structuring of the Strategic Objectives 12.2 First Revision of the Strategic Objectives and the Preliminary Attributes 12.3 Current Version of the Strategic Objectives and Attributes 12.4 The Quantitative Value Assessment 12.5 Insights from the Value Assessment 12.6 Decision Opportunities 13. Value-Focused Thinking for My Decisions 13.1 Strategic Objectives for Life 13.2 Guiding Involvement in Professional Activities 13.3 Decisions about Health and Safety 13.4 Professional Decisions 13.5 Personal Decisions 13.6 Value-Focused Thinking and You References Index of Applications and Examples General Index
1,654Â citations
Book•
15 Aug 1997
TL;DR: This text involves readers in real-world decisions from personal, federal, corporate and environmental areas and readers should learn how to use the tools of decision analysis including decision tree diagrammes, influence diagrammes and probabilistic models for insight into decision-making situations.
Abstract: This text involves readers in real-world decisions from personal, federal, corporate and environmental areas. Readers should learn how to use the tools of decision analysis including decision tree diagrammes, influence diagrammes and probabilistic models for insight into decision-making situations.
1,455Â citations
Book•
12 Dec 1998
TL;DR: In this paper, the authors provide a much-needed guide to the strategy-making process by elaborating the key concepts and theories of strategic management; illustrating through case vignettes the issues inherent in the process of strategy making; and providing extensive and detailed practical guidelines on the methods, techniques and tools employed in the case-vignettes.
Abstract: This book approaches strategy-making in a way that is designed to assist most organizations develop strategy appropriate to their size, purpose and resources. It provides a much-needed guide to the strategy-making process by: elaborating the key concepts and theories of strategic management; by illustrating through case vignettes the issues inherent in the process of strategy-making; and by providing extensive and detailed practical guidelines on the methods, techniques and tools employed in the case vignettes. Key themes explored are: the crucial significance of political feasibility; the role of participation; emphasis on stakeholder management; thinking about alternative futures within the overall process of strategy-making; and using computer support for strategy-making, organizational learning and strategy-delivery.
935Â citations
"Multi-criteria analysis: a manual" refers background in this paper
...There are many other mapping procedures that allow problems to be described in formal terms and then debated (e.g., Eden and Ackermann, 1998) or decision making procedures to be analysed (Hodgkinson et al., 1999)....
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