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Multiple Criteria Decision Analysis: An Integrated Approach

TLDR
This book is not only a theoretical document, but also provides good coverage of practical issues and can be recommended to a broad audience, ranging from those in academic institutions to practitioners, as well as those who are interested in finding information on multiple criteria approaches, methods and techniques.
Abstract
The field of multiple criteria decision analysis (MCDA) - also sometimes termed multiple criteria decision aid, or multiple criteria decision making (MCDM) - has developed rapidly over the past quarter century and in the process a number of divergent schools of thought have emerged. Multiple Criteria Decision Analysis: An Integrated Approach provides a comprehensive yet widely accessible overview of the main streams of thought within MCDA. Two principal aims are: To provide sufficient awareness of the underlying philosophies and theories, understanding of the practical detail of the methods, and insight into practice to enable researchers, students and industry practitioners to implement MCDA methods in an informed manner; To develop an integrated view of MCDA, incorporating both integration of different schools of thought within MCDA and integration of MCDA with broader management theory, science and practice, thereby informing the development of theory and practice across these areas. It is felt that this two-fold emphasis gives a book which will be of value to the following three groups: Practicing decision analysts or graduate students in MCDA for whom this book should serve as a state-of-the-art review, especially as regards techniques outside of their own specialization; Operational researchers or graduate students in OR/MS who wish to extend their knowledge into the tools of MCDA; Managers or management students who need to understand what MCDA can offer them. Review: The book...is an excellent overview of the different multiple criteria approaches developed in divergent schools of thought which emerged in the last three decades. This book is not only a theoretical document, but also provides good coverage of practical issues. It can be recommended to a broad audience, ranging from those in academic institutions to practitioners, as well as those who are interested in finding information on multiple criteria approaches, methods and techniques. It is an excellent book in the main area of Operations Research and Decision Analysis, with a special focus on Multiple Criteria and is suitable for undergraduate and graduate students.' JosA(c) R. Figueira, DIMACS Center, Rutgers University.

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Journal ArticleDOI

Effective implementation of the ε-constraint method in Multi-Objective Mathematical Programming problems

TL;DR: A novel version of the method (augmented @e-constraint method - AUGMECON) is proposed that avoids the production of weakly Pareto optimal solutions and accelerates the whole process by avoiding redundant iterations.
Book ChapterDOI

Multi-objective Optimization

TL;DR: This chapter discusses the fundamental principles of multi-objective optimization, the differences between multi-Objective optimization and single-objectives optimization, and describes a few well-known classical and evolutionary algorithms for multi- objective optimization.
Journal ArticleDOI

Multi-criteria decision analysis in environmental sciences: Ten years of applications and trends

TL;DR: There is a significant growth in environmental applications of MCDA over the last decade across all environmental application areas and even though the use of the specific methods and tools varies in different application Areas and geographic regions, recommended course of action does not vary significantly with the method applied.
Journal ArticleDOI

A review of multi criteria decision making (MCDM) towards sustainable renewable energy development

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.
Journal ArticleDOI

Review of the main developments in the analytic hierarchy process

TL;DR: This paper discusses problem modelling, pair-wise comparisons, judgement scales, derivation methods, consistency indices, incomplete matrix, synthesis of the weights, sensitivity analysis and group decisions that have appeared since its introduction.