Results 111 to 120 of about 3,651 (294)
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.A laser pointer‐guided robotic grasping method for arbitrary objects based on promptable segment anything model and force‐closure analysis is presented. Grasp generation methods based on force‐closure analysis can calculate the optimal grasps for objects through their appearances. However, the limited visual perception ability makes robots difficult to
Yan Liu +5 more
wiley +1 more source
Using the Degree r∈[0,1] in Defining Rough Fuzzy Sets
Journal of MathematicsThis paper introduced a new definition of rough fuzzy sets based on a fuzzy ideal l defined on a fuzzy approximation space X,R. This definition considered the degree r∈0,1 in defining the after sets and the before sets of the arbitrary fuzzy relation R ...
S. H. Alsulami +3 more
doaj +1 more source
Gaussian kernel based fuzzy rough sets: Model, uncertainty measures and applications [PDF]
, 2010 Kernel methods and rough sets are two general pursuits in the domain of machine learning and intelligent systems. Kernel methods map data into a higher dimensional feature space, where the resulting structure of the classification task is linearly ...
Pedrycz, Witold +4 more
core +1 more source
Towards Advanced Intelligent and Perceptive Soft Grippers
Advanced Intelligent Systems, EarlyView.Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim +4 more
wiley +1 more source
The Laplacian Energy of an Intuitionistic Fuzzy Rough Graph and its Utilisation in Decision-Making [PDF]
Operations Research and DecisionsAn intuitionistic fuzzy rough model is a hybrid model that combines intuitionistic fuzzy sets and rough sets, addressing soft computing and ambiguity. It uses lower and upper approximation spaces in various fields, including science, technology, database
Shaik Noorjahan, Shaik Sharief Basha
doaj
An Algorithm to Select the Optimal Program Based on Rough Sets and Fuzzy Soft Sets
The Scientific World Journal, 2014 Combining rough sets and fuzzy soft sets, we propose an algorithm to obtain the optimal decision program. In this algorithm, firstly, according to fuzzy soft sets, we build up information systems; secondly, we compute the significance of each parameter ...
Liu Wenjun, Li Qingguo
doaj +1 more source
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
Advanced Intelligent Systems, EarlyView.A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source
On topological structure of fuzzy rough sets [PDF]
, 2018 Bu tez esas olarak yedi bölümden oluşmaktadır. Birinci bölümde tez konusu tanıtılmış, ikinci bölümde ise tezin anlaşılabilir olması için bulanık kümeler ve bulanık kapanış uzayları üzerine bilgi verilmiştir.
Yıldız, Gözde
core
3D‐Printed Shark‐Inspired Soft–Hard Hybrid Underwater Robot With Buoyancy Control and Onboard Vision
Advanced Intelligent Systems, EarlyView.A fully self‐contained shark‐inspired underwater robot is developed using 3D‐printed soft–hard hybrid structures, servo‐driven propulsion, and pump‐based buoyancy control. The platform achieves three‐dimensional locomotion and onboard vision‐based target tracking, offering a reproducible and accessible framework for biomimetic underwater robot research.
Shotaro Saito +3 more
wiley +1 more source
Fuzzy rough sets for self-labelling : an exploratory analysis [PDF]
, 2016 Semi-supervised learning incorporates aspects of both supervised and unsupervised learning. In semi-supervised classification, only some data instances have associated class labels, while others are unlabelled.
Cornelis, Chris +3 more
core