PMID- 36987280
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20230331
IS  - 2073-4360 (Electronic)
IS  - 2073-4360 (Linking)
VI  - 15
IP  - 6
DP  - 2023 Mar 17
TI  - Identifying the Most Efficient Natural Fibre for Common Commercial Building 
      Insulation Materials with an Integrated PSI, MEREC, LOPCOW and MCRAT Model.
LID - 10.3390/polym15061500 [doi]
LID - 1500
AB  - Building insulation is the most respected among the compatible and effective 
      energy conservation technologies available today, as it also reduces yearly 
      energy costs and negative environmental effects. A building envelope is made up 
      of various insulation materials that are important in determining a building's 
      thermal performance. Proper insulation material selection concludes in less 
      energy requisition for operation. The purpose of this research is to supply 
      information about natural fibre insulating materials used in construction 
      insulation to maintain energy efficiency, as well as to recommend the most 
      efficient natural fibre insulation material. As in most decision-making problems, 
      several criteria and alternatives are involved in insulation material selection, 
      too. Therefore, we used a novel integrated multi criteria decision making (MCDM) 
      model including the preference selection index (PSI), method based on the removal 
      effects of criteria (MEREC), logarithmic percentage change-driven objective 
      weighting (LOPCOW), and multiple criteria ranking by alternative trace (MCRAT) 
      methods to deal with the complexity of numerous criteria and alternatives. The 
      contribution of this study is that a new hybrid MCDM method is developed. 
      Additionally, the number of studies using the MCRAT method is very limited in the 
      literature; therefore, this study will provide more insights into and results of 
      this method to the literature.
FAU - Ulutas, Alptekin
AU  - Ulutas A
AUID- ORCID: 0000-0002-8130-1301
AD  - Department of International Trade and Business, Inonu University, 44210 Malatya, 
      Turkey.
FAU - Balo, Figen
AU  - Balo F
AUID- ORCID: 0000-0001-5886-730X
AD  - Department of METE, Engineering Faculty, Firat University, 23119 Elazig, Turkey.
FAU - Topal, Ayse
AU  - Topal A
AD  - Department of Business, Nigde Omer Halisdemir University, 51240 Nigde, Turkey.
LA  - eng
PT  - Journal Article
DEP - 20230317
PL  - Switzerland
TA  - Polymers (Basel)
JT  - Polymers
JID - 101545357
PMC - PMC10058553
OTO - NOTNLM
OT  - LOPCOW
OT  - MCDM
OT  - MCRAT
OT  - MEREC
OT  - PSI
OT  - insulation material selection
COIS- The authors declare no conflict of interest.
EDAT- 2023/03/30 06:00
MHDA- 2023/03/30 06:01
PMCR- 2023/03/17
CRDT- 2023/03/29 02:06
PHST- 2023/02/14 00:00 [received]
PHST- 2023/03/15 00:00 [revised]
PHST- 2023/03/16 00:00 [accepted]
PHST- 2023/03/30 06:01 [medline]
PHST- 2023/03/29 02:06 [entrez]
PHST- 2023/03/30 06:00 [pubmed]
PHST- 2023/03/17 00:00 [pmc-release]
AID - polym15061500 [pii]
AID - polymers-15-01500 [pii]
AID - 10.3390/polym15061500 [doi]
PST - epublish
SO  - Polymers (Basel). 2023 Mar 17;15(6):1500. doi: 10.3390/polym15061500.