A Genetic Fuzzy Decision Agent based on personal ontology for Meeting Scheduling Support System

Abstract

A Genetic Fuzzy Decision Agent (GFDA) based on personal ontology for Meeting Scheduling Support System (MS3) is proposed in this paper. We apply the concept of personal ontology to the MS3, and extend the four-layered object-oriented ontology to Personal Meeting Scheduling Ontology (PMSO) for the MS3. When an organization member sends a meeting request with required information to MS3, the MS3 will retrieve the invitees' information from Personal Meeting Scheduling, Ontology (PMSO) Repository and send a response to GFDA. Then, GFDA utilizes these invitees' information along with the PMSO and meeting information to infer the suitable meeting time slots. Therefore, GFDA can analyze each invitee's attendance possibility based on soft-computing technology. The experimental result shows that the proposed GFDA is feasible, efficient and usable for meeting scheduling support system.