Eliciting User Preferences in Multi-Agent Meeting Scheduling Problem

Autor:	Mohammad Amin Rigi, Farid Khoshalhan
Rok vydání:	2011
Předmět:	Job shop scheduling Operations research Management science Computer science Analytic hierarchy process Decision Sciences (miscellaneous) Preference Information Systems
Zdroj:	International Journal of Intelligent Information Technologies. 7:45-62
ISSN:	1548-3665 1548-3657
DOI:	10.4018/jiit.2011040103
Popis:	Meeting Scheduling Problem (MSP) arranges meetings between a number of participants. Reaching consensus in arranging a meeting is very diffuclt and time-consuming when the number of participants is large. One efficient approach for overcoming this problem is the use of multi-agent systems. In a multi-agent system, agents are deciding on behalf of their users. They must be able to elicite their users’ preferences in an effective way. This paper focuses on the elicitation of users’ preferences. Analytical hierarchy process (AHP) - which is known for its ability to determine preferences - is used in this research. Specifically, an adaptive preference modeling technique based on AHP is developed and implemented in a system and the initial validation results are encouraging.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3c2dfd4cdea55ab8d02b02c078ba1415 https://doi.org/10.4018/jiit.2011040103 Zobrazit plný text záznamu