IJESD 2014 Vol.5(2): 223-227 ISSN: 2010-0264
DOI: 10.7763/IJESD.2014.V5.482
DOI: 10.7763/IJESD.2014.V5.482
Structured Fuzzy Based Methodological Approach towards Sustainability Performance Assessment
P. O. St Flour, T. Makoondlall-Chadee, C. Bokhoree, and R. Mohee
Abstract—Sustainability has become a fundamental element
for most countries in this new era. Its concept is found to be
very complex and difficult to measure. As it is essential to obtain
relevant information to take long term management decision,
sustainability should be measured urgently. The subject is
treated using an appropriate technique namely the fuzzy
approach. It further seems appropriate to deal with ambiguity
and vague situations where mathematical formula is ineffective.
The model describes how fuzzy logic can be applied in
measuring development sustainability using indicators. The
model intends to treat inputs from individual components
(economic, environmental and social) and they are combined
using fuzzy rule bases to provide an overall measure of
sustainability. It may then be addressed to scientists and policy
makers as they move towards a sustainable path in the near
future.
Index Terms—Fuzzy logic, indicators, sustainability performance assessment, sustainability.
Pierre Olivier St Flour is with University of Technology, Mauritius (e-mail: ostrisaint@gmail.com).
Index Terms—Fuzzy logic, indicators, sustainability performance assessment, sustainability.
Pierre Olivier St Flour is with University of Technology, Mauritius (e-mail: ostrisaint@gmail.com).
Cite:P. O. St Flour, T. Makoondlall-Chadee, C. Bokhoree, and R. Mohee, "Structured Fuzzy Based Methodological Approach towards Sustainability Performance Assessment," International Journal of Environmental Science and Development vol. 5, no. 2, pp. 223-227, 2014.
General Information
- ISSN: 2010-0264 (Print); 2972-3698 (Online)
- Abbreviated Title: Int. J. Environ. Sci. Dev.
- Frequency: Bimonthly
- DOI: 10.18178/IJESD
- Editor-in-Chief: Prof. Richard Haynes
- Managing Editor: Ms. Cherry L. Chen
- Indexing: Scopus (CiteScore 2022: 1.4), Google Scholar, CNKI, ProQuest, EBSCO, etc.
- E-mail: ijesd@ejournal.net
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