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Raymond Girard R. Tan
Chemical Engineering Department De La Salle University-Manila 2401 TaftAve., Manila 1004 PHILIPPINES
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry

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Journal : ASEAN Journal of Chemical Engineering

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Ranking of Waste Management Options Under Conditions of Possibilistic Uncertainty Using Fuzzy SAW Raymond Girard R. Tan
ASEAN Journal of Chemical Engineering Vol 5, No 2 (2005)
Publisher : Department of Chemical Engineering, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ajche.50182

Abstract

Integrated waste management involves the use of appropriate techniques ranging from pollution prevention/cleaner production (P2/CP) to conventional end-of-pipe controls. Design or retrofit of process plants usually entails selection of an optimal waste management measure from a number of alternatives. The selection process involves consideration of multiple criteria and data uncertainty, the latter being arguably possibilistic (fuzzy) rather than probabilistic (random) in nature. A fuzzy simple additive weighting (SAW) algorithm is proposed for such problems and demonstrated on a case study. The principal feature of the techniques shown is the retention of fuzzy confidence levels during the assessment of different technological options. Keywords:Cleaner production, fuzzynumbers, pollutioncontrol, pollution prevention, and possibility theory.
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