PMID- 31107672
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20210318
LR  - 20210318
IS  - 2168-2275 (Electronic)
IS  - 2168-2267 (Linking)
VI  - 51
IP  - 4
DP  - 2021 Apr
TI  - Multicriteria Decision Making With Incomplete Weights Based on 2-D Uncertain 
      Linguistic Choquet Integral Operators.
PG  - 1860-1874
LID - 10.1109/TCYB.2019.2913639 [doi]
AB  - In regard to multicriteria decision making (MCDM) problems where the values of 
      the criteria are expressed by 2-D uncertain linguistic variables (2DULVs), where 
      the criteria are interactive and the criteria weights are incompletely known, two 
      novel MCDM methods are proposed in this paper. First, we offer some novel 
      operational laws of 2DULVs, which can avoid the operational results exceeding the 
      boundary of linguistic term sets. Then, we propose four operators to capture the 
      interactions over the criteria, namely, the 2-D uncertain linguistic Choquet 
      averaging (2DULCA) operator, the 2-D uncertain linguistic Choquet geometric 
      (2DULCG) operator, the Shapley 2DULCA (S2DULCA) operator, and the Shapley 2DULCG 
      (S2DULCG) operator. In addition, we establish the models based on the 
      maximization deviation approach and the Shapley function to get the criteria 
      weights. Finally, we propose two novel MCDM methods under 2-D uncertain 
      linguistic environments, where four examples are used to explain the created MCDM 
      methods. Comparative experimental results are presented to highlight the 
      superiorities of the created approaches.
FAU - Liu, Peide
AU  - Liu P
FAU - Chen, Shyi-Ming
AU  - Chen SM
FAU - Tang, Guolin
AU  - Tang G
LA  - eng
PT  - Journal Article
DEP - 20210317
PL  - United States
TA  - IEEE Trans Cybern
JT  - IEEE transactions on cybernetics
JID - 101609393
SB  - IM
EDAT- 2019/05/21 06:00
MHDA- 2019/05/21 06:01
CRDT- 2019/05/21 06:00
PHST- 2019/05/21 06:00 [pubmed]
PHST- 2019/05/21 06:01 [medline]
PHST- 2019/05/21 06:00 [entrez]
AID - 10.1109/TCYB.2019.2913639 [doi]
PST - ppublish
SO  - IEEE Trans Cybern. 2021 Apr;51(4):1860-1874. doi: 10.1109/TCYB.2019.2913639. Epub 
      2021 Mar 17.