Ranking of Waste Management Options Under Conditions of Possibilistic Uncertainty Using Fuzzy SAW

  • Raymond Girard R Tan Chemical Engineering Department, De La Salle University
Keywords: Cleaner production, fuzzy numbers, pollution control, pollution prevention, possibility

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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Published
2005-12-31
How to Cite
Tan, R. G. R. (2005). Ranking of Waste Management Options Under Conditions of Possibilistic Uncertainty Using Fuzzy SAW. ASEAN Journal of Chemical Engineering, 5(2), 140-146. Retrieved from https://jurnal.ugm.ac.id/v3/AJChE/article/view/7643
Section
Articles