Sequential three-way decisions via multi-granularity

J Qian, C Liu, D Miao, X Yue - Information Sciences, 2020 - Elsevier
Three-way decisions provide a trisecting-and-acting framework for complex problem solving.
For a cost-sensitive decision-making problem under multiple levels of granularity, sequential …

Two types of coverings based multigranulation rough fuzzy sets and applications to decision making

J Zhan, W Xu - Artificial Intelligence Review, 2020 - Springer
Covering based multigranulation rough fuzzy set, as a generalization of granular computing
and covering based rough fuzzy set theory, is a vital tool for dealing with the vagueness and …

Frequent pattern discovery with tri-partition alphabets

F Min, ZH Zhang, WJ Zhai, RP Shen - Information Sciences, 2020 - Elsevier
The concept of patterns is the basis of sequence analysis. There are various pattern
definitions for biological data, texts, and time series. Inspired by the methodology of three …

PF-TOPSIS method based on CPFRS models: An application to unconventional emergency events

J Zhan, B Sun, X Zhang - Computers & Industrial Engineering, 2020 - Elsevier
To improve the utilization of rough sets, some novel uncertain models via rough sets have
been appeared. Although many rough set models can only handle some intuitionistic fuzzy …

Covering based multigranulation fuzzy rough sets and corresponding applications

J Zhan, X Zhang, Y Yao - Artificial Intelligence Review, 2020 - Springer
By combining covering based rough sets, fuzzy rough sets, and multigranulation rough sets,
we introduce covering based multigranulation fuzzy rough set models by means of fuzzy β β …

Covering-based intuitionistic fuzzy rough sets and applications in multi-attribute decision-making

J Zhan, B Sun - Artificial Intelligence Review, 2020 - Springer
Covering based intuitionistic fuzzy (IF) rough set is a generalization of granular computing
and covering based rough sets. By combining covering based rough sets, IF sets and fuzzy …

[图书][B] Hybrid soft computing models applied to graph theory

M Akram, F Zafar - 2020 - Springer
Fuzzy set theory was introduced by Lotfi Zadeh in 1965, as a generalization of classical set
theory, for representing imprecise and vague phenomena. The concept of fuzzy graphs was …

Novel classes of coverings based multigranulation fuzzy rough sets and corresponding applications to multiple attribute group decision-making

X Ma, J Zhan, B Sun, JCR Alcantud - Artificial Intelligence Review, 2020 - Springer
The notion of covering based multigranulation fuzzy rough set (CMGFRS) models is a
generalization of both granular computing and covering based fuzzy rough sets. Therefore it …

Intuitionistic fuzzy -covering-based rough sets

B Huang, H Li, G Feng, C Guo - Artificial Intelligence Review, 2020 - Springer
Covering-based rough set is an important extended type of classical rough set model. In this
model, concepts are approximated through substitution of a partition in classical rough set …

A novel equilibrium solution concept for intuitionistic fuzzy bi-matrix games considering proportion mix of possibility and necessity expectations

I Khan, A Mehra - Granular Computing, 2020 - Springer
This paper considers a class of bi-matrix games involving two players with their payoffs
matrices having entries from the set of trapezoidal intuitionistic fuzzy numbers. We …