This paper presents a study on the modeling of fuzzy topological relations between uncertain objects in Geographic Information Systems (GIS). Based on the recently developed concept of computational fuzzy topological space, topological relations between simple fuzzy spatial objects are modeled. The fuzzy spatial objects here cover simple fuzzy region, simple fuzzy line segment and fuzzy point. ...

Landfill selection in an urban area is a critical issue in the urban planning process because of its enormous impact on the economy, ecology and the environmental health of the region. With the growth of urbanization as well as the desire to live in cities, lager amount of wastes are produced and unfortunately the problem gets bigger everyday. With the development of Geographic Information Syst...

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...

Maps have been major sources of information for a long time. Geographic Information Systems (GIS) use digital data, elevation models, satellite images, expert systems and related open source information for planning, detection, evaluation and decision making. Maps as well as GIS use spatial attributes of data in particular. Spatial Information derived is a feature of both data and language to c...

In this study we support the strategic environmental assessment process of the Coordination Plan of the District of Naples through the selection of an indicators set to monitor and evaluate the planned actions towards a sustainable mobility in the District. This process is implemented inside a GIS and its reliability is tested by linguistic hedges modelled from fuzzy sets.

In the real world, data is imperfect and in various ways such as imprecision, vagueness, uncertainty, ambiguity and inconsistency. For geographic data, the fuzzy aspect is mainly manifested in time, space and the function of objects and is due to a lack of precision. Therefore, the researchers in the domain emphasize the importance of modeling data structures in GIS but also their lack of adapt...

An information-based framework is presented for spatially explicit GIS-based ecological modeling. Within this framework some of the important issues and challenges of incorporating fuzzy sets in spatially explicit population models (SEPM) are discussed. Examples of current work are used to illustrate the main issues and challenges facing the incorporation of fuzzy sets in ecological modeling. A...

Spatial relations play important role in computer vision, scene analysis, geographic information systems (GIS) and content based image retrieval. Analyzing spatial relations by Force histogram was introduced by Miyajima et al [10] and largely developed by Matsakis [12] who used a quantitative representation of relative position between 2D objects. Fuzzy Allen relations are used to define the fu...

driver’s requirement in route guidance system Caixia Li , Sreenatha Gopalarao Anavatti, Tapabrata Ray University of New South Wales @ Australian Defence Force Academy [email protected] Abstract-Route choice mechanism is the key technology of the route guidance system. This paper focuses on the integration of the analytical hierarchy process (AHP) and fuzzy logic theory to realize th...