GIS multicriteria decision analysis (MCDA) methods are increasingly being used in landslide susceptibility mapping for the prediction of future hazards, decision making, as well as hazard mitigation plans. However, the uncertainties associated with MCDA techniques are inevitable and model outcomes are prone to multiple types of uncertainty. In this paper, the spatiality explicitly method is emp...

There are a number of decision making problems in which Geographical Information System (GIS) has employed to organize and facilitate the procedure of analyzing the problem. These GIS-based decision problems which typically include a number of different criteria and alternatives are generally analyzed by Multicriteria Decision Analysis (MCDA).Different locations within a geographical area repre...

Evaluating alignments for a transportation corridor is a complex process that involves many decision makers and stakeholders. Capturing input about important considerations is vital to the process of alignment selection and is an iterative process. Multi-Criteria Decision Making (MCDM) provides a systematic methodology to compare, select, and rank multiple alternatives using disparate data sour...

Sensitivity analysis (SA) is a prerequisite for model building since it determines the reliability of the model through assessment of uncertainties in the simulation results. With growing interest in extending GIS to support multi-criteria decision-making (MCDM) methods, enhancing GIS-based MCDM with sensitivity analysis procedures is crucial. SA should be involved in GIS-MCDM model evaluation ...

This paper focuses on the integration of GIS and an extension of the analytical hierarchy process (AHP) using quantifier-guided ordered weighted averaging (OWA) procedure. AHP_OWA is a multicriteria combination operator. The nature of the AHP_OWA depends on some parameters, which are expressed by means of fuzzy linguistic quantifiers. By changing the linguistic terms, AHP_OWA can generate a wid...

Analytical Hierarchy Process (AHP), as a multiple criteria decision making tools especially in the problems with spatial nature or GIS-based. In addition this study treats the steps AHP, its manner to apply and its weaknesses and strengths and ultimately the fuzzy modified Analytical Hierarchy Process (FAHP) which is proposed after that the concepts like of fuzziness, uncertainty and vagueness ...

Sand and gravel are important raw materials which are needed for many civil engineering projects. Due to economic reasons, sand and gravel pits are frequently located in the periphery of metropolitan areas which are often subject to competing land-use interests. As a contribution to land-use conflict solving, the Analytic Hierarchy Process (AHP) is applied within a Geo-Information-System (GIS) ...

The GIS-multicriteria decision analysis (GIS-MCDA) technique is increasingly used for landslide hazard mapping and zonation. It enables the integration of different data layers with different levels of uncertainty. In this study, three different GIS-MCDA methods were applied to landslide susceptibility mapping for the Urmia lake basin in northwest Iran. Nine landslide causal factors were used, ...

Cellular automata (CA) is increasingly used to simulate various dynamic courses, e.g. urban spatial growth, forest fire spread and soil desertification. CA simulates these courses with iterative evolvements. Through simple and partial rules to form complex space structures and patterns, CA can express complex systems which are difficult to perform only with mathematical formulas. In combination...

Spatial decision-making problems, such as site selection, require appropriate means for handling multiple socioeconomic factors while considering physical suitability. Traditional decision support techniques lack the ability to simultaneously take into account these factors and conditions. Similarly, geographic information systems, while recognized as useful decision support technologies, do no...