Heterogeneous large-scale group decision making using fuzzy cluster analysis and its application to emergency response plan selection

G Li, G Kou, Y Peng - IEEE Transactions on Systems, Man, and …, 2021 - ieeexplore.ieee.org
As the number of people involved in a decision-making problem increases, the complexity of
the group decision-making (GDM) process increases accordingly. The size of participants …

A group decision making model for integrating heterogeneous information

G Li, G Kou, Y Peng - IEEE Transactions on Systems, Man, and …, 2016 - ieeexplore.ieee.org
This paper proposes a group decision-making (GDM) method for integrating heterogeneous
information. To avoid information loss, instead of transforming heterogeneous information …

Consistency-based risk assessment with probabilistic linguistic preference relation

Y Zhang, Z Xu, H Wang, H Liao - Applied Soft Computing, 2016 - Elsevier
In recent years, the “Belt and Road” has aroused great attention of international society. It
not only produces opportunities for China but also brings challenges: when Chinese …

Solving multi-criteria group decision making problems under environments with a high number of alternatives using fuzzy ontologies and multi-granular linguistic …

JA Morente-Molinera, G Kou… - Knowledge-Based …, 2017 - Elsevier
Classic multi-criteria group decision making models that have a high amount of alternatives
are unmanageable for the experts. This is because they have to provide one value per each …

A novel multi-criteria group decision-making method for heterogeneous and dynamic contexts using multi-granular fuzzy linguistic modelling and consensus …

JA Morente-Molinera, X Wu, A Morfeq, R Al-Hmouz… - Information …, 2020 - Elsevier
This paper presents a novel multi-criteria group decision-making method that is capable of
working in heterogeneous and dynamic environments. It is applicable in non-static …

Distance learning techniques for ontology similarity measuring and ontology mapping

W Gao, MR Farahani, A Aslam, S Hosamani - Cluster Computing, 2017 - Springer
Recent years, a large amount of ontology learning algorithms have been applied in different
disciplines and engineering. The ontology model is presented as a graph and the key of …

An automatic procedure to create fuzzy ontologies from users' opinions using sentiment analysis procedures and multi-granular fuzzy linguistic modelling methods

JA Morente-Molinera, G Kou, C Pang, FJ Cabrerizo… - Information …, 2019 - Elsevier
The high amount of information that users continually provides to the Internet is unorganized
and difficult to interpret. Unluckily, there is no point in having high amounts of information …

A linguistic intuitionistic multi-criteria decision-making method based on the Frank Heronian mean operator and its application in evaluating coal mine safety

H Peng, J Wang, P Cheng - … Journal of Machine Learning and Cybernetics, 2018 - Springer
Coal mine safety has been a pressing issue for many years, and it is a constant and non-
negligible problem that must be addressed during any coal mining process. This paper …

Modelling influence in group decision making

LG Pérez, F Mata, F Chiclana, G Kou… - Soft Computing, 2016 - Springer
Group decision making has been widely studied since group decision making processes are
very common in many fields. Formal representation of the experts' opinions, aggregation of …

Prospect theory based method for heterogeneous group decision making with hybrid truth degrees of alternative comparisons

SP Wan, W Zou, JY Dong - Computers & Industrial Engineering, 2020 - Elsevier
This paper develops a new prospect theory based method for heterogeneous multi-attribute
group decision making with hybrid fuzzy truth degrees of alternative comparisons. The …