Fuzzy Spatial Relationships and Mobile Agent Technology in Geospatial Information Systems
Frederick E. Petry, Maria A. Cobb, Dia L. Ali, Rafal A. Angryk, Marcin Paprzycki, Shahram Rahimi, Lixiong Wen, Huiqing Yang · Studies in fuzziness and soft computing · 2002
This chapter discusses an integrated work in the definition and implementation of sets of fuzzy spatial relationships concerning topology and direction. We present our basic approach to defining these relationships as an extension to previous work in temporal relations. We also discuss several extensions to this approach that include refinements and alternate definitions. Two implementations are also described, one in a C++, Oracle database environment and another utilizing the expert system shell Fuzzy Clips. Finally we discuss the integration of this querying approach in an agent-based framework. Agent technology has become a leading implementation paradigm for distributed and complex systems, and has recently garnered much interest from researchers in the area of spatial databases. Agents offer many advantages with respect to intelligence abilities and mobility that can provide solutions for issues related to uncertainty in spatial data, such as those of spatial relationships. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.