期刊
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
卷 49, 期 18, 页码 8633-8643出版社
AMER CHEMICAL SOC
DOI: 10.1021/ie100164r
关键词
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资金
- NSF [CBET 0730383, CMMI 0700178, DUE 0736739]
- Division Of Undergraduate Education
- Direct For Education and Human Resources [0736739] Funding Source: National Science Foundation
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.
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