In this paper the questions of the definition of the centers optimum allocation in fuzzy transportation networks are observed by the minimax criterion. It is supposed that the information received from GIS is presented like a fuzzy graph. In this case the task of the definition of the centers optimum allocation transforms into the task of the definition of the graph vitality fuzzy set. The meth...

Naïve Geography, intelligent geographical information systems (GIS), and spatial data mining especially from social media all rely on natural-language spatial relations (NLSR) terms to incorporate commonsense spatial knowledge into conventional GIS and to enhance the semantic interoperability of spatial information in social media data. Yet, the inherent fuzziness of NLSR terms makes them chall...

This paper investigates the problem of integrating fuzzy clustering theory with raster-based GIS for zonal analysis. A new approach, named the ‘Usher’s Approach’ (UshA), is proposed to provide a solution to the problem. Characterised by its simplicity, yet very practical, this approach has three main advantages: i) it increases the applicability of fuzzy clustering theory in raster-based GIS; i...

Spatial decision making is a fundamental function of contemporary Geographic Information Systems (GIS). One of the most fertile GIS development areas is integrating multiple criteria decision models (MCDM) into GIS querying mechanisms. The classic approach for this integration has been to use Boolean techniques of MCDM with crisp representations of spatial objects (features) to produce static m...

In Geoinformation systems (GIS) there is a need to model spatial regions with indeterminate boundary and under uncertainties. Although fuzzy logic methods are of great interest in many GIS applications, the traditional fuzzy logic has two important deficiencies. First, to apply the fuzzy logic, we need to assign, to every property and for every value, a crisp membership function. Second, fuzzy ...

Combining GIS with neuro-fuzzy modeling has the advantage that expert scientific knowledge in coastal aquaculture activities can be incorporated into a geospatial model to classify areas particularly vulnerable to pollutants. Data on the physical environment and its suitability for aquaculture in an Irish fjard, which is host to a number of different aquaculture activities, were derived from a ...

Geographical Information Systems (GIS) and Image Processing Systems are usually based on classical logic and set theory. This fact pass in case of some GIS elements because of presence of many uncertainties in the nature. Hence, these GIS elements can not be based on classical model at all time. Constantly growing demands on utilization of GISs require extension of area of their usage in the wa...

Urban land use classification from remotely sensed images has drawn great attention in the past decades. Most researchers derive land use data from remotely sensed images alone, but the results are not quite satisfying for detecting detailed land use classes in urban areas. Fuzzy urban land use classes proposed here consist of a number of fuzzy memberships that offer direct links to findings fr...

In order to store and process natural phenomena in Geographic Information Systems (GIS) it is necessary to model the real world to form computational representation. Since classical set theory is used in conventional GIS softwares to model uncertain real world, the natural variability in the environmental phenomena cannot be modeled appropriately. Because, pervasive imprecision of the real worl...

The concept of fuzzy set was introduced by Zadeh in his classical paper [1]. This concept provides a natural foundation for treating mathematically the fuzzy phenomena, which exist pervasively in our real world, and for building new branches of fuzzy mathematics. In the area of Fuzzy Topology, introduced by Chang [2], much attention has been paid to generalize the basic concepts of General Topo...