Multi-source information fusion based on rough set theory: A review
Abstract Multi-Source Information Fusion (MSIF) is a comprehensive and interdisciplinary
subject, and is referred to as, multi-sensor information fusion which was originated in the …
subject, and is referred to as, multi-sensor information fusion which was originated in the …
A new fuzzy multi-attribute group decision-making method with generalized maximal consistent block and its application in emergency management
Y Sun, J Mi, J Chen, W Liu - Knowledge-Based Systems, 2021 - Elsevier
Decision-making is the most important business activity and becomes more complex in the
current big-data situation. Most organizational decision-making is made in a group and has …
current big-data situation. Most organizational decision-making is made in a group and has …
[HTML][HTML] Large-scale group decision-making based on Pythagorean linguistic preference relations using experts clustering and consensus measure with non …
To represent qualitative aspect of uncertainty and imprecise information, linguistic
preference relation (LPR) is a powerful tool for experts expressing their opinions in group …
preference relation (LPR) is a powerful tool for experts expressing their opinions in group …
Optimistic multigranulation roughness of fuzzy bipolar soft sets by soft binary relations and its applications
Two important mathematical methods for addressing uncertainty in data processing are
multigranulation rough set (MGRS) and fuzzy bipolar soft set (FBSS). This paper describes a …
multigranulation rough set (MGRS) and fuzzy bipolar soft set (FBSS). This paper describes a …
[HTML][HTML] A method to multi-attribute decision-making based on interval-valued q-rung dual hesitant linguistic Maclaurin symmetric mean operators
X Feng, X Shang, Y Xu, J Wang - Complex & Intelligent Systems, 2020 - Springer
The aim of this paper is to propose a new multi-attribute decision-making (MADM) method to
rank all feasible alternatives in complex decision-making scenarios and determine the …
rank all feasible alternatives in complex decision-making scenarios and determine the …
Three-way decision method based on triangular norms in incomplete information systems and its applications in medical diagnosis
Y Tang, J Qiao - Applied Soft Computing, 2024 - Elsevier
Three-way decision, as an extension of traditional two-way decision, was proposed by Yao
in 2009, which can effectively avoid unnecessary losses caused by incorrect decisions in the …
in 2009, which can effectively avoid unnecessary losses caused by incorrect decisions in the …
GDTRSET: a generalized decision-theoretic rough sets based on evidence theory
L Chen, Y Deng - Artificial Intelligence Review, 2023 - Springer
Decision-theoretic rough sets (DTRS), produced by Bayesian risk minimum principle and
three-way decision theory, is a novel methodology to deal with risk decision problems. As …
three-way decision theory, is a novel methodology to deal with risk decision problems. As …
KNNHI: Resilient KNN algorithm for heterogeneous incomplete data classification and K identification using rough set theory
The original K-nearest neighbour (K NN) algorithm was meant to classify homogeneous
complete data, that is, data with only numerical features whose values exist completely …
complete data, that is, data with only numerical features whose values exist completely …
基于粒计算的多源信息融合方法综述.
徐伟华， 黄旭东， 蔡可 - … Acquisition & Processing/Shu Ju Cai …, 2023 - search.ebscohost.com
多源数据是一种综合多个信息源或数据集的复杂数据类型, 其主要特点是不同的信息源隐含不同
的知识结构, 且从不同的角度刻画和描述了样本以及样本之间的关系. 如何协同地融合与集成多 …
的知识结构, 且从不同的角度刻画和描述了样本以及样本之间的关系. 如何协同地融合与集成多 …
On type-1 granulation and approximation of tolerance based rough neutrosophic sets
AT Ab Ghani, L Abdullah, NN Peng - … of the 8th International Conference on …, 2022 - Springer
In this study, we introduced two new types of granulation of rough neutrosophic set models.
We first defined the type-1 of two granulation based on tolerance relation (T1-TGRNS). The …
We first defined the type-1 of two granulation based on tolerance relation (T1-TGRNS). The …