Spatial Analysis and Planning under Imprecision
Y. Leung(Author)
Ake E. Andersson(Editor)
North-Holland (Publisher)
Published on 1. April 1988
Book
Hardback
397 pages
978-0-444-70390-3 (ISBN)
Description
The book deals with complexity, imprecision, human valuation, and uncertainty in spatial analysis and planning, providing a systematic exposure of a new philosophical and theoretical foundation for spatial analysis and planning under imprecision. Regional concepts and regionalization, spatial preference-utility-choice structures, spatial optimization with single and multiple objectives, dynamic spatial systems and their controls are analyzed in sequence.The analytical framework is based on fuzzy set theory. Basic concepts of fuzzy set theory are first discussed. Many numerical examples and empirical studies are provided to substantiate the theoretical arguments and empirical relevance of this approach.The book provides a more comprehensive perspective on uncertainty and a flexible framework for analysis in the real world, for problems such as commonly encountered spatial problems, urban and regional economic problems, and planning problems. Though the treatment is unconventional, it generally includes conventional analyses as special cases.
Reviews / Votes
T. John Kim..... highly informative and extremely valuable.Journal of Regional ScienceMore details
Series
Language
English
Place of publication
United States
Publishing group
Elsevier Science & Technology
Target group
College/higher education
Professional and scholarly
ISBN-13
978-0-444-70390-3 (9780444703903)
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Schweitzer Classification
Other editions
Additional editions

Y. Leung | Ake E. Andersson
Spatial Analysis and Planning under Imprecision
E-Book
10/2013
Elsevier
€54.95
Available for download
Content
Introduction. Basic Concepts of Fuzzy Set Theory. Regional Concepts and Regionalization. Imprecisions of Spatial Preference, Utility, and Choice. Fuzzy Mathematical Programming and Single Objective Spatial Planning Problems. Fuzzy Mathematical Programming and Multiobjective Spatial Planning Problems. Dynamics and Optimal Controls of Fuzzy Spatial Systems. Conclusion. Appendices.