Results 91 to 100 of about 30,346 (250)
A Formal Approach based on Fuzzy Logic for the Specification of Component-Based Interactive Systems
, 2015 Formal methods are widely recognized as a powerful engineering method for the specification, simulation, development, and verification of distributed interactive systems.
Koutsoumpas, Vasileios
core +2 more sources
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
wiley +1 more source
Soft Interval-Valued Neutrosophic Rough Sets [PDF]
Neutrosophic Sets and Systems, 2015 In this paper, we first defined soft interval-valued neutrosophic rough sets(SIVN- rough sets for short) which combines interval valued neutrosophic soft set and rough sets and studied some of its basic properties.
Said Broumi, Florentin Smarandache
doaj
Terrestrial Cyborg Insects for Real‐Life Applications
Advanced Intelligent Systems, EarlyView.This article reviews the development of terrestrial cyborg insects from their emergence in 1997 to mid‐2025, examining three key aspects: locomotion control methods, associated challenges with proposed solutions, and practical applications. Framing these biohybrid systems as insect‐scale mobile robots, the review provides foundational insights for new ...
Hai Nhan Le +10 more
wiley +1 more source
Interval-Valued Fuzzy Soft Graphs
Topological Algebra and its Applications, 2017 In this paper, we combine concepts of interval-valued fuzzy soft sets and graph theory. Then we introduce notations of interval-valued fuzzy soft graphs and complete interval-valued fuzzy soft graphs.
Zihni Onur +2 more
doaj +1 more source
A robust framework for medical diagnostics based on interval-valued Q-neutrosophic soft sets with aggregation operators [PDF]
Neutrosophic Sets and SystemsThe best way to deal with complicated life scenarios that accompany the decision-making process is to update previous concepts constantly. Therefore, researchers must constantly discover powerful mathematical tools that suit the accompanying ...
Enad Ghazi , Sinan O. Al-Salihi
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
Lasso Estimation of an Interval-Valued Multiple Regression Model
, 2015 A multiple interval-valued linear regression model considering all the cross-relationships between the mids and spreads of the intervals has been introduced recently.
A. Blanco-Fernández +6 more
core +1 more source
The Canadian Journal of Chemical Engineering, EarlyView.Abstract Global energy demand and environmental concerns have intensified the search for renewable and sustainable energy sources. This study thus, focuses on optimizing the transesterification process of waste cooking oil (WCO) using thermally activated basic oxygen furnace slag catalyst calcined at 850°C (BOF 850). The optimization and modelling were
Johra S. Ali, Hillary L. Rutto
wiley +1 more source
A survey on fuzzy fractional differential and optimal control nonlocal evolution equations
, 2017 We survey some representative results on fuzzy fractional differential equations, controllability, approximate controllability, optimal control, and optimal feedback control for several different kinds of fractional evolution equations.
Agarwal, Ravi P. +4 more
core +1 more source