Accounting for Spatial Uncertainty in Optimization with Spatial Decision Support Systems
نویسندگان
چکیده
منابع مشابه
Accounting for Spatial Uncertainty in Optimization with Spatial Decision Support Systems
Spatial decision support systems (SDSS) are designed to make complex resource allocation problems more transparent and to support the design and evaluation of allocation plans. Recent developments in this field focus on the design of allocation plans using optimization techniques. In this paper we analyze how uncertainty in spatial (input) data propagates through, and affects the results of, an...
متن کاملEnhancing Decision Support Systems with Spatial Capabilities
This chapter introduces spatial dimensions and measures as a means of enhancing decision support systems with spatial capabilities. By some way or other, spatial related data has been used for a long time; however, spatial dimensions have not been fully exploited. It is presented a data model that tightly integrates Data Warehouse and Geographical Information Systems ⎯ so characterizing a Spati...
متن کاملMulticriteria Spatial Decision Support Systems
DEFINITION A spatial decision support system (SDSS) is an interactive, computer-based system designed to support a user or a group of users in achieving a higher effectiveness of decision making while solving a semi-structured spatial decision problem [10]. It lies at the intersection of two major trends in the spatial sciences: geographic information sciences (GIS) and spatial analysis [10]. W...
متن کاملIntelligent spatial decision support systems
This thesis investigates the conceptual and methodological issues for the development of Intelligent Spatial Decision Support Systems (ISDSS). These are spatial decision support systems (SDSS) integrating intelligent systems techniques (Genetic Algorithms, Neural Networks, Expert Systems, Fuzzy Logic and Nonlinear methods) with traditional modelling and statistical methods for the analysis of s...
متن کاملGeographic Uncertainty In Spatial Optimization
i ABSTRACT There exist many facets of error and uncertainty in digital spatial information. As error or uncertainty will not likely ever be completely eliminated, a better understanding of its impacts is necessary. Spatial analytical approaches, in particular, must somehow address data quality issues. This can range from evaluating impacts of potential data uncertainty in planning processes tha...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Transactions in GIS
سال: 2003
ISSN: 1361-1682,1467-9671
DOI: 10.1111/1467-9671.00141