| Titre : | Sustainability assessment of industrial systems under uncertainty : a fuzzy logic based approach to short-term to midterm predictions (2010) |
| Auteurs : | Cristina Piluso, Auteur ; Jennifer Huang, Auteur ; Zheng Liu, Auteur |
| Type de document : | Article : texte imprimé |
| Dans : | Industrial & engineering chemistry research (Vol. 49 N° 18, Septembre 2010) |
| Article en page(s) : | pp. 8633–8643 |
| Note générale : | Industrial chemistry |
| Langues : | Anglais |
| Tags : | Industrial Systems |
| Résumé : | The sustainability assessment of industrial systems is always a very challenging task due to the existence of various types of uncertainties that are associated with the available data, assessable information, possessed knowledge, and problem understanding, etc. This paper introduces a fuzzy logic based approach for the effective short- and long-term assessment of industrial sustainability under the restrictions of aleatory and epistemic uncertainties. A comprehensive study on a metal-finishing-centered industrial zone is illustrated to show the efficacy of the introduced methodology. |
| ISSN : | 0888-5885 |
| En ligne : | http://pubs.acs.org/doi/abs/10.1021/ie100164r |
