An ontology-based approach to intelligent support of decision making in waste management
Marina Kultsova, Roman Rudnev, Антон Викторович Аникин, Irina Zhukova · 2016
In this paper a concept of intelligent support of decision making in waste management using knowledge-based approach is presented, which is a promising way to increase efficiency of waste management system in the cities. Analysis of the domain of waste management shows that the appropriate support of decision making can be implemented using contemporary technologies of artificial intelligent such as rule-based reasoning and ontology. In the paper a general scheme of the integration of this reasoning mechanism and ontology is suggested, as well the problems of domain knowledge representation are considered. Implementation of a prototype of intelligent decision support system in waste management using rule-based reasoning and ontology is described.