Institutional Repository
Technical University of Crete
Technical University of Crete
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EL
| URI | http://purl.tuc.gr/dl/dias/6DC3F149-C2DB-4632-B5BF-B02E76381A2E | - |
| Identifier | http://ceur-ws.org/Vol-2030/HAICTA_2017_paper72.pdf | - |
| Language | en | - |
| Extent | 7 pages | en |
| Title | A fuzzy multiple criteria approach for environmental performance evaluation in the food industry | en |
| Creator | Grigoroudis Evangelos | en |
| Creator | Γρηγορουδης Ευαγγελος | el |
| Publisher | CEUR-WS | en |
| Content Summary | An important tool for the evaluation and documentation of a successful environmental management system is the Environmental Performance Evaluation (EPE). EPE is generally defined as a continuous internal process and management tool that using indicators evaluates the environmental management system of an organization and compares past and present performance. Relevant international standards such as ISO 14031-14032 describe the categories of performance indicators; however they do not determine a specific framework for the development, measurement and evaluation of these indicators. The main aim of this study is to present an EPE methodology based on the fuzzy UTASTAR method. Fuzzy UTASTAR is an extension of the well-known UTASTAR method capable to handle both ordinary (crisp) and fuzzy evaluation data. To demonstrate the application of the methodology, a case study is presented, where fuzzy UTASTAR is used in the frame of the EPE of a mills industry. | en |
| Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Full Paper | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2018-06-01 | - |
| Date of Publication | 2017 | - |
| Subject | Environmental management systems | en |
| Subject | Environmental performance evaluation | en |
| Subject | Environmental performance indicators | en |
| Subject | Fuzzy UTASTAR | en |
| Bibliographic Citation | E. Grigoroudis, "A fuzzy multiple criteria approach for environmental performance evaluation in the food industry" in 8th International Conference on Information and Communication Technologies in Agriculture, Food and Environment, 2017, pp. 594-601. | en |
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