Self-adaptive Fuzzy Decision Map Matching Algorithm Based on GIS Buffer in LCS
نویسندگان
چکیده
The wireless localization service is called Location-Based Services (LCS), is an value-added service provided by mobile communications network. This paper introduces a self-adaptive fuzzy decision algorithm based on GIS buffer. Candidate matching roads information is stored in GIS buffer. Through selfadaptive adjusting and fuzzy decision, the algorithm advances the differentiation degree between the right road and wrong. We can judge the matched road immediately, so it is a real-time algorithm and high accurate still. Changing the Coefficient-Value of measure factor by itself, the algorithm adjusts the weight of position information and direction information in judging the best matching road very well. In this way, the whole algorithm is optimized in many aspects.
منابع مشابه
Developing a Model Based on Geospatial Information Systems (GIS) and Adaptive Neuro-Fuzzy Inference Systems (ANFIS) for Providing the Spatial Distribution Map of Landslide Risk. Case Study: Alborz Province
Landslide is one of these natural hazards which causes a great amount of financial and human damage annually allover the world. Accordingly, identification of areas with landslide threat for implementation of preventive measures in order to confront against the instability of hillsides for reduction of potential threats and related risks is very important. In this research a new method for clas...
متن کاملAdaptive Network-based Fuzzy Inference System-Genetic Algorithm Models for Prediction Groundwater Quality Indices: a GIS-based Analysis
The prediction of groundwater quality is very important for the management of water resources and environmental activities. The present study has integrated a number of methods such as Geographic Information Systems (GIS) and Artificial Intelligence (AI) methodologies to predict groundwater quality in Kerman plain (including HCO3-, concentrations and Electrical Conductivity (EC) of groundwater)...
متن کاملPart family formation through fuzzy ART2 neural network
In order to overcome some unavoidable factors, like shift of the part, that influence the crisp neural networks’ recognition, the present study is dedicated in developing a novel fuzzy neural network (FNN), which integrates both the fuzzy set theory and adaptive resonance theory 2 (ART2) neural network for grouping the parts into several families based on the image captured from the vision sens...
متن کاملBuffering Fuzzy Maps in GIS
In this paper, we show how standard GIS operations like the complement, union, intersection, and buffering of maps can be made more flexible by using fuzzy set theory. In particular, we present a variety of algorithms for operations on fuzzy raster maps, focusing on buffer operations for such maps. Furthermore, we show how widely-available special-purpose hardware (in particular, z-buffering in...
متن کاملSlope Stability Analysis Using a Self-Adaptive Genetic Algorithm
This paper introduces a methodology for soil slope stability analysis based on optimization, limit equilibrium principles and method of slices. In this study, the slope stability analysis problem is transformed into a constrained nonlinear optimization problem. To solve that, a Self-Adaptive Genetic Algorithm (GA) is utilized. In this study, the slope stability safety factors are the objective ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007