TY - JOUR
T1 - A new situation assessment method for aerial targets based on linguistic fuzzy sets and trapezium clouds
AU - Jia, Qianlei
AU - Hu, Jiayue
AU - Zhang, Weiguo
AU - Zhai, Shaobo
AU - Li, Zhaoxing
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2023/1
Y1 - 2023/1
N2 - Situation assessment has attracted much attention. The chief aim of this paper is to research the problem from the perspective of multicriteria group decision-making (MCGDM). First of all, this paper expresses the threat information with linguistic fuzzy sets, including Atanassov's intuitionistic fuzzy sets (AIFSs), Atanassov's interval-valued intuitionistic fuzzy sets (AIVIFSs), and interval intuitionistic uncertain linguistic sets (IIULSs). Then, some relevant concepts and aggregation operators of trapezium clouds are proposed, meanwhile, a new approach that calculates the weights considering subjectivity and objectivity is presented with multi-objective programming. Next, the conversion methods between AIFSs, AIVIFSs, IIULSs and trapezium clouds are derived. Finally, the algorithm process is presented and an illustrative example is employed to prove the validity. Also, the comparison analysis with other widely used methods is conducted to verify the feasibility of the proposed algorithm.
AB - Situation assessment has attracted much attention. The chief aim of this paper is to research the problem from the perspective of multicriteria group decision-making (MCGDM). First of all, this paper expresses the threat information with linguistic fuzzy sets, including Atanassov's intuitionistic fuzzy sets (AIFSs), Atanassov's interval-valued intuitionistic fuzzy sets (AIVIFSs), and interval intuitionistic uncertain linguistic sets (IIULSs). Then, some relevant concepts and aggregation operators of trapezium clouds are proposed, meanwhile, a new approach that calculates the weights considering subjectivity and objectivity is presented with multi-objective programming. Next, the conversion methods between AIFSs, AIVIFSs, IIULSs and trapezium clouds are derived. Finally, the algorithm process is presented and an illustrative example is employed to prove the validity. Also, the comparison analysis with other widely used methods is conducted to verify the feasibility of the proposed algorithm.
KW - Linguistic fuzzy sets
KW - Multicriteria group decision-making (MCGDM)
KW - Situation assessment
KW - Trapezium cloud
UR - http://www.scopus.com/inward/record.url?scp=85141921671&partnerID=8YFLogxK
U2 - 10.1016/j.engappai.2022.105610
DO - 10.1016/j.engappai.2022.105610
M3 - 文章
AN - SCOPUS:85141921671
SN - 0952-1976
VL - 117
JO - Engineering Applications of Artificial Intelligence
JF - Engineering Applications of Artificial Intelligence
M1 - 105610
ER -