An approach to prevent weight manipulation by minimum adjustment and maximum entropy method in social network group decision making [0.03%]
基于最小调整最大熵方法防止社交网络群体决策中的权重操纵问题的研究
Qi Sun,Jian Wu,Francisco Chiclana et al.
Qi Sun et al.
In social network group decision making (SN-GDM) problem, subgroup weights are mostly unknown, many approaches have been proposed to determine the subgroup weights. However, most of these methods ignore the weight manipulation behavior of s...
Tareq M Al-Shami,Ibtesam Alshammari
Tareq M Al-Shami
Our aim of writing this manuscript is to found novel rough-approximation operators inspired by an abstract structure called "supra-topology". This approach is more relaxed than topological ones and extends the scope of applications because ...
A three-way decision method with tolerance dominance relations in decision information systems [0.03%]
决策信息系统中基于容许优势关系的三支决策方法
Wenjie Wang,Jianming Zhan,Weiping Ding et al.
Wenjie Wang et al.
In recent years, various medical diagnosis problems have been addressed from the perspective of multi-attribute decision making. Among them, the three-way decision theory can provide a novel scheme to solve medical diagnosis issues under th...
Zhuyang Xie,Yan Yang,Yiling Zhang et al.
Zhuyang Xie et al.
With the progress of human daily interaction activities and the development of industrial society, a large amount of media data and sensor data become accessible. Humans collect these multi-source data in chronological order, called multi-v...
Gbeminiyi John Oyewole,George Alex Thopil
Gbeminiyi John Oyewole
Clustering has primarily been used as an analytical technique to group unlabeled data for extracting meaningful information. The fact that no clustering algorithm can solve all clustering problems has resulted in the development of several ...
A survey on binary metaheuristic algorithms and their engineering applications [0.03%]
二进制元启发式算法及其工程应用综述
Jeng-Shyang Pan,Pei Hu,Václav Snášel et al.
Jeng-Shyang Pan et al.
This article presents a comprehensively state-of-the-art investigation of the engineering applications utilized by binary metaheuristic algorithms. Surveyed work is categorized based on application scenarios and solution encoding, and descr...
Deep learning in drug discovery: an integrative review and future challenges [0.03%]
深度学习在药物发现中的应用：综合回顾与未来挑战
Heba Askr,Enas Elgeldawi,Heba Aboul Ella et al.
Heba Askr et al.
Recently, using artificial intelligence (AI) in drug discovery has received much attention since it significantly shortens the time and cost of developing new drugs. Deep learning (DL)-based approaches are increasingly being used in all sta...
New constructions of decision evaluation functions in three-way decision spaces based on uninorms [0.03%]
基于无量函数三种决策空间决策评价函数的新构造方法
Zihang Jia,Junsheng Qiao
Zihang Jia
In 2014, Hu introduced the concept of three-way decision spaces and axiomatic definition of decision evaluation functions. In three-way decision spaces, decision evaluation function satisfies minimum element axiom, monotonicity axiom and co...
Patrick Rodler
Patrick Rodler
In his seminal paper of 2004, Ulrich Junker proposed the QuickXplain algorithm, which provides a divide-and-conquer computation strategy to find within a given set an irreducible subset with a particular (monotone) property. Beside its orig...
Explainable AI for clinical and remote health applications: a survey on tabular and time series data [0.03%]
临床和远程健康应用的可解释性AI研究：表格和时间序列数据综述
Flavio Di Martino,Franca Delmastro
Flavio Di Martino
Nowadays Artificial Intelligence (AI) has become a fundamental component of healthcare applications, both clinical and remote, but the best performing AI systems are often too complex to be self-explaining. Explainable AI (XAI) techniques a...