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http://dx.doi.org/10.9708/jksci.2011.16.3.017

Construction of Fuzzy Logic Based on Knowledge for Greenery Warranty Systems  

Lee, Sang-Hyun (Dept. of Computer Engineering, Mokpo National University)
Lee, Sang-Joon (School of Business Administration, Chonnam National University)
Moon, Kyeong-Il (Dept. of Computer Engineering, Honam University)
Publication Information
Journal of the Korea Society of Computer and Information / v.16, no.3, 2011 , pp. 17-25 More about this Journal
Abstract
Green IT, composed term with Green and Information Technology(IT), use IT for energy savings and carbon emission reductions. Green IT went beyond the scope of greening IT, and recently it's concept is expanded as far as counterplan of climate change including greening other industries by IT. 85% of total greenhouse gas emissions from the energy sector and 20% of them comes from transport parts, so it is time to research IT for automotive industry. In this paper, we take up the knowledge based fuzzy logic to provide life cycle analysis associated with greenhouse gas emissions for industry produced warranty claims frequently such as automobile industry. We propose a analysis method of warranty claims using expert knowledge about the warranty in car exhaust systems related to greenhouse gas emissions, past test results of malfunction, analysis of past field data, and warranty data. Furthermore, we propose life knowledge-based GWS (Greenery Warranty System). We demonstrate the applicability of IT in eco-friendly automotive industry by implementing knowledge-based fuzzy logic and applying.
Keywords
Knowledge base; Fuzzy logic; Warranty System; Green IT;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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