Spatial problems are often characterised by incomplete information, multiple conflicting evaluation criteria and a heterogeneous group of decision-makers. Implementation of existing analytical decision–making methods in a Spatial Decision Support System has been characterised by difficulties when dealing with uncertainty, criteria standardization, and group decision-making where there is no con...

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...

A Spatial Decision Support System refers to a computer system that assists decision-makers to generate and evaluate alternative solutions to semi-structured spatial problems through integrating analytical models, spatial data and traditional geoprocessing software so that individuals or groups can make feasible decisions (Armstrong 1993; Densham 1991; Malczewski 1996). It can allow easier decis...

Spatial decision support has recently received more and more attention in many disciplines and organizations. In order to examine its research directions, the nature of spatial decision support and its special requirements are first examined in this paper. The basic task of spatial decision support is clarified in this paper to be as to provide the decision makers with their required spatial in...

An Information System Design Theory (ISDT) is proposed for use in the development of Spatial Decision Support Systems (SDSS). First, a review of SDSS is presented along with the problems specific to end-users of these systems. Next, a brief overview of ISDT is presented along with a specific example of an ISDT for SDSS that addresses the question of how to establish relationships between compon...

A laboratory experiment was used to investigate the effects on deciision-maker performance of using geographic information system (GIS) technology as a spatial decision support sysllem (SDSS). GIS are increasingly being used for decision-making, yet research about their contributions to the performance of decision-makers has been lacking. This study makes a contribution to that apparent void. V...

The goal of Spatial Decision Support Systems (SDSS) is to assist decision-makers as they generate alternative solutions to a variety of semistructured geographical problems, and to evaluate these solutions with the help of applicable data and analytical models. Most existing SDSS, however, support only a limited number of decision-making environments, and are not designed to utilize web-accessi...

Land use, land use change and forestry (LULUCF) can play a positive role in mitigating global warming by sequestering carbon from the atmosphere into vegetation and soils. Local entities (e.g. local government, community, stockholders) have been making great efforts in enhancing carbon sequestration (CS) of local forests for mitigating global climate change and participating in international ca...

Received Dec 11, 2012 Revised Feb 10, 2013 Accepted Feb 16,2013 This paper presents a Multi-criteria spatial decision support system (MCSDSS) as a tool for decision making and planning. MC-SDSS can be used to assess different criteria with different weights. We believe that such tool can be utilized to help policy/decision makers to improve animal production in Egypt. MC-SDSS facilitates the in...