Ontology-based Fuzzy Decision Agent and Its Application to Meeting Scheduling Support System

Abstract

A Fuzzy Decision Agent (FDA) based on personal ontology for Meeting Scheduling Support System (MSSS) is proposed in this chapter. In this system, when an organization member requests a meeting, the FDA can immediately send a meeting request with required information to MSSS and Fuzzy Inference Engine (FIE). When MSSS receives the meeting information from FDA, it obtains the invitees’ information from the Personal Meeting Scheduling Ontology (PMSO) Repository and sends a response to FDA. Meanwhile, FIE utilizes these invitees’ information along with the Fuzzy Rule Base and meeting information to infer the suitable meeting time slots. Therefore, FDA can analyze each invitee’s attendance probability based on soft-computing technology. The experimental result shows that the proposed FDA is feasible, efficient and usable for a meeting scheduling support system.