URI | http://purl.tuc.gr/dl/dias/CC1C755C-8C14-4896-9124-49B0DC313B0F | - |
Identifier | http://www.inderscience.com/offer.php?id=87816 | - |
Identifier | https://doi.org/10.1504/IJMCDM.2017.087816 | - |
Language | en | - |
Extent | 25 pages | en |
Title | Environmental performance evaluation in the context of ISO 14031 using a fuzzy multiple criteria approach | en |
Creator | Grigoroudis Evangelos | en |
Creator | Γρηγορουδης Ευαγγελος | el |
Publisher | Inderscience | 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 organisation 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 | Peer-Reviewed Journal Publication | en |
Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
License | http://creativecommons.org/licenses/by/4.0/ | en |
Date of Item | 2018-05-31 | - |
Date of Publication | 2017 | - |
Subject | EMSs | en |
Subject | Environmental management systems | en |
Subject | EPE | en |
Subject | Environmental performance evaluation | en |
Subject | Environmental performance indicators | en |
Subject | Fuzzy UTASTAR | en |
Bibliographic Citation | E. Grigoroudis, "Environmental performance evaluation in the context of ISO 14031 using a fuzzy multiple criteria approach," Int. J. Multicrit. Decis. Mak., vol. 7, no. 2, pp. 91-115, 2017. doi: 10.1504/IJMCDM.2017.087816 | en |