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

Author

Lee, Chang-Shing ; Chang, Meng-Ju ; Pàn, Chen-Yu ; Chen, Chyi-Nan

Author_Institution

Dept. of Inf. Manage., Cheng Kung Univ., Tainan, Taiwan

Volume

1

fYear

2004

fDate

27-30 June 2004

Firstpage

105

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.

Keywords

decision theory; fuzzy set theory; genetic algorithms; groupware; inference mechanisms; information retrieval; learning (artificial intelligence); multi-agent systems; scheduling; four layered object oriented ontology; genetic fuzzy decision agent; information retrieval; meeting information; meeting scheduling support system; organization member; personal meeting scheduling ontology; soft computing technology; Computational modeling; Fuzzy systems; Genetics; Humans; Information management; Information retrieval; Intelligent agent; Object oriented modeling; Ontologies; Processor scheduling;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information, 2004. Processing NAFIPS '04. IEEE Annual Meeting of the

Print_ISBN

0-7803-8376-1

Type

conf

DOI

10.1109/NAFIPS.2004.1336259

Filename

1336259