Generalized divergence-based decision making method with an application to pattern classification
In decision-making systems, how to address uncertainty plays an important role for the
improvement of system performance in uncertainty reasoning. Dempster–Shafer evidence …
improvement of system performance in uncertainty reasoning. Dempster–Shafer evidence …
GEJS: A generalized evidential divergence measure for multisource information fusion
F Xiao - IEEE Transactions on Systems, Man, and Cybernetics …, 2022 - ieeexplore.ieee.org
Multisource information fusion (MSIF) technologies play an important role in various fields
and practical applications. As a useful methodology to represent and handle uncertain …
and practical applications. As a useful methodology to represent and handle uncertain …
CEQD: A complex mass function to predict interference effects
F Xiao - IEEE Transactions on Cybernetics, 2021 - ieeexplore.ieee.org
Uncertainty is inevitable in the decision-making process of real applications. Quantum
mechanics has become an interesting and popular topic in predicting and explaining human …
mechanics has become an interesting and popular topic in predicting and explaining human …
Information quality for intuitionistic fuzzy values with its application in decision making
D Xie, F Xiao, W Pedrycz - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Abstract Information quality has attracted increasing attention in recent years. In this paper,
we propose a measure to quantify the information quality of intuitionistic fuzzy information …
we propose a measure to quantify the information quality of intuitionistic fuzzy information …
A large-scale group consensus reaching approach considering self-confidence with two-tuple linguistic trust/distrust relationship and its application in life cycle …
M Zhou, YQ Zheng, YW Chen, BY Cheng… - Information …, 2023 - Elsevier
Large-scale group decision making (LSGDM) is very common in real world, and especially
how to reach a relatively consensus status in a social network is a hot topic. In this paper, we …
how to reach a relatively consensus status in a social network is a hot topic. In this paper, we …
A bargaining game based feedback mechanism to support consensus in dynamic social network group decision making
Y Xing, J Wu, F Chiclana, G Yu, M Cao… - Information …, 2023 - Elsevier
A bargaining game is used to develop feedback mechanism for dynamic social networks
group decision making (SN-GDM). The dynamic trust relationships between experts are …
group decision making (SN-GDM). The dynamic trust relationships between experts are …
A Choquet integral based interval Type-2 trapezoidal fuzzy multiple attribute group decision making for Sustainable Supplier Selection
Y Xing, M Cao, Y Liu, M Zhou, J Wu - Computers & Industrial Engineering, 2022 - Elsevier
A new Choquet Integral based interval type-2 (IT 2 TrFS) trapezoidal fuzzy multiple attribute
group decision making (GDM) for Sustainable Supplier Selection (SSS) is put forward in this …
group decision making (GDM) for Sustainable Supplier Selection (SSS) is put forward in this …
Generalized quantum evidence theory
F Xiao - Applied Intelligence, 2023 - Springer
With the development of quantum decision making, how to bridge classical theory with
quantum framework has gained much attention in past few years. Recently, a complex …
quantum framework has gained much attention in past few years. Recently, a complex …
A generalized Rényi divergence for multi-source information fusion with its application in EEG data analysis
C Zhu, F Xiao, Z Cao - Information Sciences, 2022 - Elsevier
The application of multisource information fusion in real-world scenarios is an emerging
practice because it effectively uses consistent and complementary data to optimize decision …
practice because it effectively uses consistent and complementary data to optimize decision …
CaFtR: A fuzzy complex event processing method
F Xiao - International Journal of Fuzzy Systems, 2022 - Springer
Fuzzy complex event processing-based decision-making systems have received
considerable research interests recently. In particular, a well-managed operator distribution …
considerable research interests recently. In particular, a well-managed operator distribution …