Multicriteria Decision Analysis In Geographic Information Science
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Multicriteria Decision Analysis in Geographic Information Science
This book is intended for the GIS Science and Decision Science communities. It is primarily targeted at postgraduate students and practitioners in GIS and urban, regional and environmental planning as well as applied decision analysis. It is also suitable for those studying and working with spatial decision support systems. The main objectives of this book are to effectivley integrate Multicriteria Decision Analysis (MCDA) into Geographic Information Science (GIScience), to provide a comprehensive account of theories, methods, technologies and tools for tackling spatial decision problems and to demonstrate how the GIS-MCDA approaches can be used in a wide range of planning and management situations.
GIS and Multicriteria Decision Analysis
Author: Jacek Malczewski
language: en
Publisher: John Wiley & Sons
Release Date: 1999-04-05
Wohin baut man neue Schulen und Fabriken? Wie verwaltet man Flüsse und Wälder? Wo sollen Autobahnen und Brücken verlaufen? Über derartige Fragen, die in der Regel mehrere alternative Antworten zulassen, entscheiden häufig konkurrierende Interessengruppen mit unterschiedlichen Wertvorstellungen, die zwangsläufig zu Konflikten führen. Einen formalen Ansatz zur Lösung dieser Probleme, der auf der Auswertung von Material fußt, das ein Geographisches Informationssystem bietet, stellt dieses Buch vor. Mit vielen Beispielen und einem Überblick über erhältliche Software. (05/99)
Trends in Multiple Criteria Decision Analysis
Author: Salvatore Greco
language: en
Publisher: Springer Science & Business Media
Release Date: 2010-09-10
Multiple Criteria Decision Making (MCDM) is the study of methods and procedures by which concerns about multiple conflicting criteria can be formally incorporated into the management planning process. A key area of research in OR/MS, MCDM is now being applied in many new areas, including GIS systems, AI, and group decision making. This volume is in effect the third in a series of Springer books by these editors (all in the ISOR series), and it brings all the latest developments in MCDM into focus. Looking at developments in the applications, methodologies and foundations of MCDM, it presents research from leaders in the field on such topics as Problem Structuring Methodologies; Measurement Theory and MCDA; Recent Developments in Evolutionary Multiobjective Optimization; Habitual Domains and Dynamic MCDM in Changeable Spaces; Stochastic Multicriteria Acceptability Analysis; and many more chapters.