This paper presents a methodology for the creation of homogeneous demographic regions with geographical information systems (GIS) and computational intelligence. The proposed method is unsupervised fuzzy classification performed by neural networks using the fuzzy Kohonen algorithm. GIS technology offers a powerful set of tools for the input, management, and output of data, whereas computational...

In this paper, we propose a new temporal data mining method considering a set of archæological objects which are temporally represented with fuzzy numbers. Our method uses an index which quantifies the anteriority between two fuzzy numbers for the construction of a weighted oriented graph. The vertices of the graph correspond to the temporal objects. Using this anteriority graph, we estimate th...

Forest fire-potential is natural disaster that breaks out strongly , destructs largely and is difficult to dispose and rescue, its destructive power has a serious threat to the security of society and human living environment, moreover, it does greatly damage to natural ecological environment. Therefore, the study on forest fire prediction and prevention is a main job. In fact, it is complicate...

An important research trend in databases is to handle different types of uncertainty at both conceptual and logical levels for various non-traditional applications that may involve imprecision and uncertainty that have been difficult to integrate cohesively in simple database models. In this study we describe how to conceptually model complex and uncertain information at the conceptual level (b...

Forest fires are one of the major causes of ecological disturbance and environmental concerns in tropical deciduous forests of south India. In this study, we use fuzzy set theory integrated with decision-making algorithm in a Geographic Information Systems (GIS) framework to map forest fire risk. Fuzzy set theory implements classes or groupings of data with boundaries that are not sharply defin...

In this paper the problem of optimal location of service centers is considered by minimax criterion. It is supposed that the information received from GIS is presented like graph with fuzzy intervals. The notion of fuzzy set of interval bases is considered. It is shown that the problem of service centers location is reduced to a problem of finding fuzzy set of interval bases. Method of finding ...

The combination of GIS with fuzzy set theory and deterministic models is known as GIS Fuzzy Modelling (GISFM). GISFM was adopted for support sustainable land use planning. In particular GISFM is applied for solution of the problem of investment allocation into worse part of the land drainage systems located in the Saint-Petersburg suburbs. The missing data about loads on water bodies by agricul...

Multi-criteria evaluation (MCE) is perhaps the most fundamental of decision support operations in geographical information systems (GIS). This paper reviews two main MCE approaches employed in GIS, namely Boolean and Weighted Linear Combination (WLC), and discusses issues and problems associated with both. To resolve the conceptual di€ erences between the two approaches, this paper proposes the...

Spatial Objects Models are the foundation stone of GIS. With increasing awareness and acceptance of spatial data uncertainty, how to model the fuzzy spatial objects is one of the important issues. This paper proposes a flexible fuzzy spatial objects model in practice in the eyes of design patterns. Also, as an instance, we will show how to use the model to predicate the topological relations be...