A multi-stage fuzzy decision-making framework to evaluate the appropriate wastewater treatment system: a case study

BÜYÜKÖZKAN FEYZİOĞLU G., Tufekci G.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, vol.28, pp.53507-53519, 2021 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 28
  • Publication Date: 2021
  • Doi Number: 10.1007/s11356-021-14116-w
  • Journal Name: ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, IBZ Online, ABI/INFORM, Aerospace Database, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, CAB Abstracts, EMBASE, Environment Index, Geobase, MEDLINE, Pollution Abstracts, Veterinary Science Database, Civil Engineering Abstracts
  • Page Numbers: pp.53507-53519
  • Keywords: Industrial wastewater, Treatment process, Multiple criteria decision-making, Fuzzy logic, Uncertainty, Decision support systems, TREATMENT TECHNOLOGIES, TREATMENT ALTERNATIVES, TREATMENT PLANTS, SELECTION, SUSTAINABILITY, MODEL, TOOL, OPTIMIZATION, OPINIONS, INDUSTRY
  • Galatasaray University Affiliated: Yes

Abstract

Selection of appropriate treatment processes for wastewater treatment (WWT) plants at the design stage involves a careful examination of different economic, environmental, and social parameters. Designers and decision-makers seek a compromise among such conflicting elements, which can be facilitated by decision support tools that are adapted for the ambiguity of individual opinions and decision parameters. This study aims to improve the qualification and efficiency of decision-making in WWT processes. A multi-stage framework is proposed to help select investments, technology, appropriate technology-specific system, and companies that apply such systems. The framework combines the Analytic Hierarchy Process (AHP), Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE), cash flow analysis, and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) within fuzzy logic. The main contribution is the description and formation of an integrated framework to guide businesses and researchers for the evaluation of several WWT decision processes. To the best of the authors' knowledge, no study in the literature fuses multiple stages of this WWT process with the proposed approaches.