PMID- 37510028
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20230801
IS  - 1099-4300 (Electronic)
IS  - 1099-4300 (Linking)
VI  - 25
IP  - 7
DP  - 2023 Jul 18
TI  - Decision Support System for Prioritization of Offshore Wind Farm Site by 
      Utilizing Picture Fuzzy Combined Compromise Solution Group Decision Method.
LID - 10.3390/e25071081 [doi]
LID - 1081
AB  - The selection of offshore wind farm site (OWFS) has important strategic 
      significance for vigorously developing offshore new energy and is deemed as a 
      complicated uncertain multicriteria decision-making (MCDM) process. To further 
      promote offshore wind power energy planning and provide decision support, this 
      paper proposes a hybrid picture fuzzy (PF) combined compromise solution (CoCoSo) 
      technique for prioritization of OWFSs. To begin with, a fresh PF similarity 
      measure is proffered to estimate the importance of experts. Next, the novel 
      operational rules for PF numbers based upon the generalized Dombi norms are 
      defined, and four novel generalized Dombi operators are propounded. Afterward, 
      the PF preference selection index (PSI) method and PF stepwise weights assessment 
      ratio analysis (SWARA) model are propounded to identify the objective and 
      subjective weight of criteria, separately. In addition, the enhanced CoCoSo 
      method is proffered via the similarity measure and new operators for ranking 
      OWFSs with PF information. Lastly, the applicability and feasibility of the 
      propounded PF-PSI-SWARA-CoCoSo method are adopted to ascertain the optimal OWFS. 
      The comparison and sensibility investigations are also carried out to validate 
      the robustness and superiority of our methodology. Results manifest that the 
      developed methodology can offer powerful decision support for departments and 
      managers to evaluate and choose the satisfying OWFSs.
FAU - Rong, Yuan
AU  - Rong Y
AUID- ORCID: 0000-0001-7576-5276
AD  - School of Management, Shanghai University, Shanghai 200444, China.
FAU - Yu, Liying
AU  - Yu L
AUID- ORCID: 0000-0002-8570-7181
AD  - School of Management, Shanghai University, Shanghai 200444, China.
LA  - eng
GR  - 12071280/General Program of National Natural Science Foundation of China/
PT  - Journal Article
DEP - 20230718
PL  - Switzerland
TA  - Entropy (Basel)
JT  - Entropy (Basel, Switzerland)
JID - 101243874
PMC - PMC10378162
OTO - NOTNLM
OT  - CoCoSo
OT  - PF set
OT  - PSI
OT  - SWARA
OT  - information fusion
OT  - offshore wind farm site
COIS- The authors declare no conflict of interest.
EDAT- 2023/07/29 11:51
MHDA- 2023/07/29 11:52
PMCR- 2023/07/18
CRDT- 2023/07/29 01:15
PHST- 2023/04/18 00:00 [received]
PHST- 2023/07/12 00:00 [revised]
PHST- 2023/07/17 00:00 [accepted]
PHST- 2023/07/29 11:52 [medline]
PHST- 2023/07/29 11:51 [pubmed]
PHST- 2023/07/29 01:15 [entrez]
PHST- 2023/07/18 00:00 [pmc-release]
AID - e25071081 [pii]
AID - entropy-25-01081 [pii]
AID - 10.3390/e25071081 [doi]
PST - epublish
SO  - Entropy (Basel). 2023 Jul 18;25(7):1081. doi: 10.3390/e25071081.