A fuzzy approach for determining the cognitive spatial location of an object in geographical information system

The work is devoted to the problem of interpretation fuzzy semantics cognitive descriptions spatial relations in natural language and their visualization a geographic information system (GIS). solution determining location an object based on vague observer considered. task relevant critical situations when there no way report exact coordinates observed object, except by describing its relative itself. Such situation may be result crime, terrorist act or disaster. An who finds itself at scene transmits text message, which description place (for example, crime scene, dangerous objects, crash site). can further extracted from message. proposed approach formalization observer's phrases, with it describe relations, form set linguistic variables that determine direction distance object. Examples membership functions for are given. knowledge base built basis phrases observers corresponding regions. Algorithms constructing regions GIS have been developed. Methods superposition obtain final proposed. example implementation model identifying several observers, performed using developed Python scripts integrated into ArcGIS 10.5,