This book presents the Multiple Criteria Decision Making (MCDM) paradigm for modelling agricultural decision-making in three parts. The first part, comprising two chapters, is philosophical in nature and deals with the concepts that define the underlying structure of the MCDM paradigm. The second part is the largest part consisting of five chapters, each of which presents the logic of a specific MCDM technique, and demonstrates how it can be used to model a particular decision problem. In the final part, some selected applications of the MCDM techniques to agricultural problems are presented and thus reinforce the development of an understanding of the MCDM paradigm. The book has been designed for use at different levels: as a textbook for final year undergraduate and postgraduate courses in modelling for decision-making; as a manual for researchers and practising modellers; and, as general reference on the application of MCDM techniques. Readers with basic appreciation of algebra and linear programming can easily follow the contents of this book.

This book outlines the latest trends in the use of multicriteria analysis in agriculture by highlighting recent applications for modeling agricultural decision-making. It introduces specific case studies using multicriteria analysis as a method for selecting multiattribute discrete alternatives or solving multiobjective planning problems. The book is intended for a broad readership, including agricultural and environmental economists, engineers and all scientists whose work involves the management of agricultural resources and decision-making in agriculture. The methods and applications presented in this book cover decision-making processes in agricultural and environmental contexts. The methodologies described consider multiple criteria simultaneously in a wide range of complex decision-making contexts by taking into account multiple, conflicting criteria. Given the wide range of case studies covered, the book offers a comprehensive guide to decision-making in the agricultural context and beyond.

The idea of this book started at approximately 33.000 feet, somewhere above the Alps. On our way to a workshop in Venice we had the opportunity of appreciating the different types of landscapes and the complex patchwork of urban areas, agriculture, forests, rivers and lakes that can be seen from an aircraft. The complexity of this puzzle, and the complex task of managing its evolution, became the topic of conversation for the rest of the flight. It also became the topic of this book. Land-use management and multicriteria analysis offer countless opportunities for mutual reinforcement. These two fields have developed largely independently, but a trend towards the exploration of their synergies is now emerging. This is clear from the recent literature on land-use management, spatial analysis and spatial planning, which increasingly includes references to multicriteria methodologies and decision analysis. At the same time, a growing share of multicriteria applications now focus on environmental and land-use issues. This book includes contributions from authors coming from a variety of disciplines and backgrounds. All together they highlight current issues in multicriteria analysis and land-use management from theoretical, methodological and practical perspectives.

In August 1989, a Summer Institute was held at the Academie van Bouwkunst, the seventeenth century home of Amsterdam's School of Architecture, Town Planning and Landscape. The meeting brought together experts in Geographical Information Systems from throughout the world to address an international audience of planners. The contents of this book reflect many of the themes that were presented and discussed at the conference. The Summer Institute, let alone this volume, would not have been possible without the support of the International Association for the Development and Management of Existing and New Towns (INTNAIVN), the International Society of City and Regional Planners (ISoCaRP), The National Physical Planning Agency of the Netherlands (RPD) and the Berlage Studio. We wish to acknowledge the assistance provided by these organisations and by the various sponsors: The Ministry of Housing, Physical Planning and Environment, the Municipality of Amsterdam, Logisterion b.v., ESRI, UNISYS, MABON b.v., SPSS, PRIME Computer Inc., PANDATA. The provision of hardware facilities by the various computer companies allowed immensely valuable 'hands on' experience to be gained by all the participants.

This book discusses policy strategies for the effective management of natural resources in Africa within the context of the United Nations’ Sustainable Development Goals (SDG). While natural resource wealth has the potential to lift many out of poverty, sustain economic growth, and foster political stability, it does not guarantee these benefits. The absolute levels of human development in many resource-rich countries remain low, despite their apparent wealth. The challenge is to adopt policies that better harness the potential of natural resources, not only as an opportunity for development, but also to foster policies and institutional innovations that manage resource wealth equitably and boost human capital. To this end, this volume highlights key opportunities and solutions for harnessing natural resources for sustained economic development and explain how such approaches should be incorporated into the SDG agenda. These opportunities are communicated in the form of policy recommendations that in some cases, are country specific but can (and should) be adapted by individual African countries where applicable. With a broad perspective supplied by a diverse group of authors, this book will be useful for graduate students and academicians studying Africa, development economics, economic policy, and resource management, as well as policy makers, NGOs, and IGOs.

This book provides an introduction to operational research methods and their application in the agrifood and environmental sectors. It explains the need for multicriteria decision analysis and teaches users how to use recent advances in multicriteria and clustering classification techniques in practice. Further, it presents some of the most common methodologies for statistical analysis and mathematical modeling, and discusses in detail ten examples that explain and show “hands-on” how operational research can be used in key decision-making processes at enterprises in the agricultural food and environmental industries. As such, the book offers a valuable resource especially well suited as a textbook for postgraduate courses.

Despite the recognition given to the existence of multiple objectives in agricultural decision making, very little seems to have been done by agricultural economists to develop and use methodologies that model the decision situations realistically. This is particularly intriguing when one notices the amount of effort that has been devoted to the development and use of multi-criteria decision making (MCDM) techniques in disciplines such as management science, water resources research and forest planning. There are virtually no (text) books available in agricultural economics which explain the nature and structure of MCDM techniques and demonstrate how they can be used to model decisions involving multiple objectives. There is a need for such a book and this book attempts to fill the gap. It is divided into three parts. The first, comprising two chapters, is philosophical in nature and deals with the rationale behind the use of multiple criteria decision making (MCDM) techniques in decision making, and the fundamental concepts that must be understood to grasp the nature of these methods. The second and largest part contains five chapters, each dealing with the logical structure of a specific MCDM technique, and how it is used to model a particular decision problem. Some applications to agricultural problems are presented in the last five chapters contained in the final part. The book is designed to be used both as a reference and a text. An understanding of the conceptual basis of most of the MCDM techniques presented here should not be beyond those with basic knowledge of linear algebra and linear programming.