A type-2 fuzzy personal ontology for meeting scheduling system

Abstract

Meeting schedule contains a variety of features, such as personal constraints, preferences, and even the personal calendar. In an organization, the host always needs to spend much time negotiating with the potential attendees to acquire the most suitable time slot to hold the meeting. The process is very time-consuming and effort-requiring so that this paper proposes a type-2 fuzzy personal ontology, a type-2 meeting scheduling ontology, and a decision supported multi-agent to facilitate an organization's meeting scheduling process. Additionally, the fuzzy markup language (FML) is used to describe the knowledge base and rule base of the proposed meeting schedule system, and then each potential attendee's meeting-attending possibility is inferred through the fuzzy inference mechanism. Finally, a semantic description is generated to let the host roughly know each person's meeting attendance possibility. The experimental results show that the proposed approach is feasible for meeting scheduling.