PMID- 32872106
OWN - NLM
STAT- MEDLINE
DCOM- 20201123
LR  - 20201123
IS  - 1660-4601 (Electronic)
IS  - 1661-7827 (Print)
IS  - 1660-4601 (Linking)
VI  - 17
IP  - 17
DP  - 2020 Aug 28
TI  - Intuitionistic Fuzzy Hierarchical Multi-Criteria Decision Making for Evaluating 
      Performances of Low-Carbon Tourism Scenic Spots.
LID - 10.3390/ijerph17176259 [doi]
LID - 6259
AB  - Low-carbon tourism is an effective solution to cope with the goal conflict 
      between developing tourist economy and responding to carbon emission reduction 
      and ecological environment protection. Tourism scenic spots are important 
      carriers of tourist activities and play a crucial role in low-carbon tourism. 
      There are multiple factors affecting the low-carbon performance of a tourism 
      scenic spot, and thus the performance evaluation and ranking of low-carbon 
      tourism scenic spots can be framed as a hierarchical multi-criteria decision 
      making (MCDM) problem. This paper develops a novel method to tackle hierarchical 
      MCDM problems, in which the importance preferences of criteria over the decision 
      goal and sub-criteria with respect to the upper-level criterion are provided by 
      linguistic-term-based pairwise comparisons and the assessments of alternatives 
      over each of sub-criteria at the lowest level are furnished by positive interval 
      values. The linguistic-term-based pairwise comparison matrices are converted into 
      intuitionistic fuzzy preference relations and an approach is developed to obtain 
      the global importance weights of the lowest level sub-criteria. A 
      multiplicatively normalized intuitionistic fuzzy decision matrix is established 
      from the interval-value-based assessments of alternatives and a method is 
      proposed to determine the intuitionistic fuzzy value based comprehensive scores 
      of alternatives. A case study is offered to illustrate how to build a performance 
      evaluation index system of low-carbon tourism scenic spots located at Zhejiang 
      Province of China and show the use of the proposed intuitionistic fuzzy 
      hierarchical MCDM method.
FAU - Yang, Xuan
AU  - Yang X
AD  - Dongfang College, Zhejiang University of Finance & Economics, Haining 314408, 
      China.
FAU - Wang, Zhou-Jing
AU  - Wang ZJ
AD  - School of Information, Zhejiang University of Finance & Economics, Hangzhou 
      310018, China.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20200828
PL  - Switzerland
TA  - Int J Environ Res Public Health
JT  - International journal of environmental research and public health
JID - 101238455
RN  - 7440-44-0 (Carbon)
SB  - IM
MH  - Carbon/*analysis
MH  - Carbon Footprint
MH  - China
MH  - *Decision Making
MH  - Environment
MH  - *Fuzzy Logic
MH  - Humans
MH  - Leisure Activities
MH  - Models, Theoretical
MH  - Travel/*psychology
PMC - PMC7503655
OTO - NOTNLM
OT  - evaluation
OT  - intuitionistic fuzzy preference relation
OT  - low-carbon economy
OT  - low-carbon tourism scenic spot
OT  - multi-criteria decision making
COIS- The authors declare no conflict of interest.
EDAT- 2020/09/03 06:00
MHDA- 2020/11/24 06:00
PMCR- 2020/09/01
CRDT- 2020/09/03 06:00
PHST- 2020/07/06 00:00 [received]
PHST- 2020/08/20 00:00 [revised]
PHST- 2020/08/25 00:00 [accepted]
PHST- 2020/09/03 06:00 [entrez]
PHST- 2020/09/03 06:00 [pubmed]
PHST- 2020/11/24 06:00 [medline]
PHST- 2020/09/01 00:00 [pmc-release]
AID - ijerph17176259 [pii]
AID - ijerph-17-06259 [pii]
AID - 10.3390/ijerph17176259 [doi]
PST - epublish
SO  - Int J Environ Res Public Health. 2020 Aug 28;17(17):6259. doi: 
      10.3390/ijerph17176259.