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Title of Journal: Int J Environ Sci Technol

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Abbravation: International Journal of Environmental Science & Technology

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Springer-Verlag

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10.1007/s00439-009-0735-5

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1735-2630

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Selection of wastewater treatment process based on

Authors: A R Karimi N Mehrdadi S J Hashemian G R Nabi Bidhendi R Tavakkoli Moghaddam
Publish Date: 2011/03/01
Volume: 8, Issue: 2, Pages: 267-280
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Abstract

This paper presents an application of the analytical hierarchy process and fuzzy analytical hierarchy process methods for selecting the best wastewater treatment process The analytical hierarchy process is one of the best ways for deciding among the complex criteria structure in different levels and the fuzzy analytical hierarchy process is a synthetic extension of the classical method when the fuzziness of the decision makers are considered After reviewing aerobic treatment processes operated in Iran’s industrial estates and determining the main criteria used for treatment process evaluation they are arranged in a hierarchy structure Selection of the best wastewater treatment process is a multicriteria decision making problem Conventional methods are inadequate for dealing with the imprecise or vague nature of linguistic assessment To overcome this difficulty the fuzzy analytical hierarchy process is proposed for dealing with the vagueness of decision makers’ judgments The alternatives consist of extended aeration absorption biooxidation integrated fixedfilm activated sludge sequencing batch reactor aerated lagoon Based on the general condition of industrial estate’s wastewater treatment plants technical/administrative economic and environmental criteria and their subcriteria are weighted and then criteria evaluated and priorities of alternatives have been done by analytical hierarchy process and fuzzy analytical hierarchy process methods by the use of triangular fuzzy numbers Finally selection of the best process and ranking of these five processes are carried out by these foregoing methods and some sensitivity analyses are conducted to show the results’ sensitiveness to the changes of the weights of the evaluation criteria


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