On The Shortest Path Problem: a New Approach with Fuzzy Inference Systems and Conventional Geographic Information Systems
Gabriel da Silva · Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007) · 2007
This paper addresses the use of fuzzy logic to synthesize multiple numerical attributes on urban street networks, allowing conventional Geographic Information Systems GIS to deal with the concept of a fuzzy "best path" instead of the classical "shortest path". A new methodology to use fuzzy inference in GIS, implementing fuzzy path planning inside an urban network model is proposed. A computational tool was developed to perform data acquisition, fuzzy inference and GIS database updating in real-time. Practical results of fuzzy path planning are presented and discussed.