Path: Top -> Journal -> Jurnal Internasional -> Fuzzy Information and Engineering -> 2016 -> Volume 8, Issue 3, September

Optimization of Industrial Wastewater Treatment Using Intuitionistic Fuzzy Goal Geometric Programming Problem

Journal from gdlhub / 2017-08-21 16:04:36
Oleh : Payel Ghosh, T.K. Roy, Chanchal Majumder, Fuzzy Information and Engineering
Dibuat : 2016-09-21, dengan 1 file

Keyword : Goal programming sep Geometric programmingIntuitionistic fuzzy optimizationWastewater treatment
Url : http://www.sciencedirect.com/science/article/pii/S1616865816300553
Sumber pengambilan dokumen : web

This paper describes a design of industrial wastewater treatment plant, operating on pulp and paper manufacturing waste. The main objective is to formulate cost effective biological treatment process on industrial wastewater. In terms of the percent of five-day bio-chemical oxygen demand removed, the required final effluent quality has been maximized. Also, the cost involved has been minimized in five-day bio-chemical oxygen demand removal. To optimize remaining five-day bio-chemical oxygen demand in wastewater spending minimum money, a goal geometric programming is used here. Moreover, goal geometric programming is described incorporating imprecision in it. A model of intuitionistic fuzzy goal geometric programming problem is given in this paper. We have solved intuitionistic fuzzy goal programming model using geometric programming technique. The algorithm of the approach is discussed in this paper. It is also shown that the usefulness of intuitive fuzzy environment in goal geometric programming is compared to fuzzy goal geometric programming using a numerical example.

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