Human–Machine Cloud Decision Support in Tourism

Abstract

Modern decision support systems (DSSs) use a broad range of technologies based on data processing by both humans and computers. This article describes a new architectural approach to creating DSSs based on the human–machine cloud concept. This concept combines two different views of decision support in the tourism industry: the standpoint of a tourist and the position of administrative bodies of tourist regions. The article distinguishes standard tasks of decision support in tourism; these tasks are then projected onto a multilevel concept architecture of cloud services. The proposed approach is illustrated based on the example of three scenarios of interaction of services (resources) in solving practical tasks.