PMID- 25218330
OWN - NLM
STAT- MEDLINE
DCOM- 20150623
LR  - 20221207
IS  - 1095-8630 (Electronic)
IS  - 0301-4797 (Linking)
VI  - 146
DP  - 2014 Dec 15
TI  - Development of fuzzy multi-criteria approach to prioritize locations of treated 
      wastewater use considering climate change scenarios.
PG  - 505-516
LID - S0301-4797(14)00416-2 [pii]
LID - 10.1016/j.jenvman.2014.08.013 [doi]
AB  - This study proposed a robust prioritization framework to identify the priorities 
      of treated wastewater (TWW) use locations with consideration of various 
      uncertainties inherent in the climate change scenarios and the decision-making 
      process. First, a fuzzy concept was applied because future forecast precipitation 
      and their hydrological impact analysis results displayed significant variances 
      when considering various climate change scenarios and long periods (e.g., 
      2010-2099). Second, various multi-criteria decision making (MCDM) techniques 
      including weighted sum method (WSM), Technique for Order of Preference by 
      Similarity to Ideal Solution (TOPSIS) and fuzzy TOPSIS were introduced to robust 
      prioritization because different MCDM methods use different decision 
      philosophies. Third, decision making method under complete uncertainty (DMCU) 
      including maximin, maximax, minimax regret, Hurwicz, and equal likelihood were 
      used to find robust final rankings. This framework is then applied to a Korean 
      urban watershed. As a result, different rankings were obviously appeared between 
      fuzzy TOPSIS and non-fuzzy MCDMs (e.g., WSM and TOPSIS) because the inter-annual 
      variability in effectiveness was considered only with fuzzy TOPSIS. Then, robust 
      prioritizations were derived based on 18 rankings from nine decadal periods of 
      RCP4.5 and RCP8.5. For more robust rankings, five DMCU approaches using the 
      rankings from fuzzy TOPSIS were derived. This framework combining fuzzy TOPSIS 
      with DMCU approaches can be rendered less controversial among stakeholders under 
      complete uncertainty of changing environments.
CI  - Copyright (c) 2014 Elsevier Ltd. All rights reserved.
FAU - Chung, Eun-Sung
AU  - Chung ES
AD  - Seoul National University of Science and Technology, Seoul, Republic of Korea.
FAU - Kim, Yeonjoo
AU  - Kim Y
AD  - Korea Environment Institute, Seoul, Republic of Korea. Electronic address: 
      yjkim@kei.re.kr.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20140911
PL  - England
TA  - J Environ Manage
JT  - Journal of environmental management
JID - 0401664
RN  - 0 (Waste Water)
SB  - IM
MH  - *Climate Change
MH  - Decision Making
MH  - Fuzzy Logic
MH  - Republic of Korea
MH  - Rivers/chemistry
MH  - *Uncertainty
MH  - Wastewater/*chemistry
MH  - Water Quality
OTO - NOTNLM
OT  - Fuzzy TOPSIS
OT  - Representative concentration pathway
OT  - Robust prioritization
OT  - Treated wastewater use
EDAT- 2014/09/15 06:00
MHDA- 2015/06/24 06:00
CRDT- 2014/09/15 06:00
PHST- 2014/05/21 00:00 [received]
PHST- 2014/07/23 00:00 [revised]
PHST- 2014/08/15 00:00 [accepted]
PHST- 2014/09/15 06:00 [entrez]
PHST- 2014/09/15 06:00 [pubmed]
PHST- 2015/06/24 06:00 [medline]
AID - S0301-4797(14)00416-2 [pii]
AID - 10.1016/j.jenvman.2014.08.013 [doi]
PST - ppublish
SO  - J Environ Manage. 2014 Dec 15;146:505-516. doi: 10.1016/j.jenvman.2014.08.013. 
      Epub 2014 Sep 11.