Download Free Multiobjective Decision Support For Environmental Management Book in PDF and EPUB Free Download. You can read online Multiobjective Decision Support For Environmental Management and write the review.

Multiple criteria decision making is a major and rapidly growing field of research. Methods resulting from this field of research are used in this book to develop a Multiobjective Decision Support Systems (MODSS) for environmental management. The primary focus of the book is therefore on the issues and practicalities that arise when these methods are applied to support decisions on environmental problems. Most methods included in this book are derived from the literature on multicriteria decision making, decision anlysis and operations research. Concepts developed in management science are used to describe environmental decision processes and to define the functions of decision support. The author's work on MODSS has resulted in the development of a decision support package, called DEFINITE (DEcisions on a FINITE set of alternatives). A demonstration version of this programme is included with the book. This Demo Disk can be run on a MS-DOS compatible personal computer (version 2.0 or higher) having a 3,5 inch, 720 Kb disk drive and 640 Kb available RAM.
Preface. 1. Introduction to Decision Support. 2. Environmental Decision Making. 3. Methods for Multiobjective Decision Support. 4. Sensitivity Analysis for Multiobjective Decision Support. 5. A Multiobjective Decision Support System for Environmental Problems. 6. Valuation and Uncertainty in Multiobjective Decision Support. 7. Space in Multiobjective Decision Support. 8. Time and Space in Multiobjective Decision Support. Conclusions. References. Index.
Multiple criteria decision making is a major and rapidly growing field of research. Methods resulting from this field of research are used in this book to develop a Multiobjective Decision Support Systems (MODSS) for environmental management. The primary focus of the book is therefore on the issues and practicalities that arise when these methods are applied to support decisions on environmental problems. Most methods included in this book are derived from the literature on multicriteria decision making, decision anlysis and operations research. Concepts developed in management science are used to describe environmental decision processes and to define the functions of decision support. The author's work on MODSS has resulted in the development of a decision support package, called DEFINITE (DEcisions on a FINITE set of alternatives). A demonstration version of this programme is included with the book. This Demo Disk can be run on a MS-DOS compatible personal computer (version 2.0 or higher) having a 3,5 inch, 720 Kb disk drive and 640 Kb available RAM.
This book outlines the creative process of making environmental management decisions using the approach called Structured Decision Making. It is a short introductory guide to this popular form of decision making and is aimed at environmental managers and scientists. This is a distinctly pragmatic label given to ways for helping individuals and groups think through tough multidimensional choices characterized by uncertain science, diverse stakeholders, and difficult tradeoffs. This is the everyday reality of environmental management, yet many important decisions currently are made on an ad hoc basis that lacks a solid value-based foundation, ignores key information, and results in selection of an inferior alternative. Making progress – in a way that is rigorous, inclusive, defensible and transparent – requires combining analytical methods drawn from the decision sciences and applied ecology with deliberative insights from cognitive psychology, facilitation and negotiation. The authors review key methods and discuss case-study examples based in their experiences in communities, boardrooms, and stakeholder meetings. The goal of this book is to lay out a compelling guide that will change how you think about making environmental decisions. Visit www.wiley.com/go/gregory/ to access the figures and tables from the book.
Since 1997, the Ecosystem Management Decision Support (EMDS) system has been used around the world to support environmental analysis and planning in many different application areas, and it has been applied over a wide range of geographic scales, from forest stands to entire countries. An extensive sampling of this diversity of applications is presented in section 2, in which EMDS application developers describe the varied uses of the system. These accounts, together with the requisite background in section 1, provide valuable practical insights into how the system can be applied in the general domain of environmental management.
Multicriteria analysis, or MCA, has been increasingly used in environmental decision-making to support the identification of suitable courses of action by integrating factual information with value-based information collected through stakeholder engagement. Multicriteria Analysis for Environmental Decision-Making provides an introduction to the key concepts of MCA and includes a series of case studies that illustrate the application of MCA to a variety of environmental decision-making problems ranging from protected area zoning to landfill siting, and from forest restoration to environmental impact assessment of tourism infrastructures. A compact reference that can be used by researchers, practitioners and planners/decision makers, Multicriteria Analysis for Environmental Decision-Making can also serve as a textbook for undergraduate and postgraduate courses in a broad range of curricula.
This book offers a comprehensive reference guide to intelligence systems in environmental management. It provides readers with all the necessary tools for solving complex environmental problems, where classical techniques cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including ant colony, genetic algorithms, evolutionary algorithms, fuzzy multi-criteria decision making tools, particle swarm optimization, agent-based modelling, artificial neural networks, simulated annealing, Tabu search, fuzzy multi-objective optimization, fuzzy rules, support vector machines, fuzzy cognitive maps, cumulative belief degrees, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on complex environmental problems. Moreover, by extending all the main aspects of classical environmental solution techniques to its intelligent counterpart, the book presents a dynamic snapshot on the field that is expected to stimulate new directions and stimulate new ideas and developments.