the aim of this study is prospecting of iron and manganese in the balvard 1:100000 sheet which is situated in sanandaj - sirjan structural zone utilizing index overlay and fuzzy logic methods in the gis. in this study, the layers for integration, alterations, geological, geophysical, geochemical and structural data based on stream sediments, airborne magnetometeric and remote sensing studies. b...

The purpose of the study was to develop an intelligent vision system for autonomous vehicle field operations. Fuzzy logic was used to classify the crops and weeds. A Genetic Algorithm (GA) was used to optimize and tune the fuzzy logic membership rules. Field study confirmed that the method developed was able to accurately classify crop and weeds through the entire growing period. After segmenti...

Department of Mathematics and Computer Science, Faculty of Sciences, Port Said University, Egypt * [email protected] **Department of Computer Science, Port Said University, Egypt [email protected] ***Department of Mathematics, University of New Mexico Gallup, NM, USA [email protected] Abstract: In this paper we introduce the notion of ideals on neutrosophic set which is considered as a gen...

A new comprehensive areal model of earthquake-induced landslides (CAMEL), developed using fuzzy logic systems, is introduced here. CAMEL provides an integrated framework for modelling all types of earthquake-induced landslides using geographic information systems. CAMEL is designed to facilitate quantitative and qualitative representation of terrain conditions and knowledge about these conditio...

This paper outlines a neural network model based on the Fuzzy Cognitive Maps (FCM) framework for solving the automatic image change detection problem. Each pixel in the reference image is assumed to be a node in the network. Each node has associated a fuzzy value, which determines the magnitude of the change. Each fuzzy value is updated by a trade-off between the influences received from the fu...

In disaster insurance and reinsurance, GIS has been used to visualize and manage geospatial data and to help vulnerability and risk analysis for years. However, hazard insurance is a multidisciplinary issue that involves complex factors and uncertainty. GIS, if used alone, has limited functionality due to poor incorporation of intelligence and spatial statistics. The Spatial Decision Support Sy...

The South African Council for Scientific and Industrial Research (CSIR) is investigating technologies to predict health risk in line with national priorities. Cholera cases are commonly reported in the region, despite the funnelling of extensive resources into ameliorating the problem. It is possible that this results from a lack of foresight as to the likely outbreak locations and times. CSIR ...

Land use and cover change (LUCC) is important for the global biogeochemical cycle and ecosystem. This paper introduced a change detection method based on a bi-band binary mask and an improved fuzzy c-means algorithm to research the LUCC. First, the bi-band binary mask approach with the core concept being the correlation coefficients between bands from different images are used to locate target ...

Montenegro has different influences on the weather and climate; in general, according to Köppen’s classification, there are two climate zones: warm temperate (C) cold (D). The aim of this study is determine susceptibility wildfires Montenegrin coastal municipality Budva northern Rožaje, which located climatic conditions, using multicriteria GIS decision analysis (GIS-MCDA). Nine natural anthrop...

This paper deals with the problem of locating new post offices in a megacity. To do so, a combination of geographical information system (GIS) and fuzzy goal programming (FGP) is used. In order to locate new offices, first six types of service facilities with high levels of interactions with post offices are defined. Then, aspiration level of proximity for each service facility is determined. B...