Results 151 to 160 of about 3,363 (306)

Information Entropy Based Fuzzy Pattern Recognition Model for Basin Eco-environmental Quality Evaluation

工程科学与技术, 2006
:Basin eco-environmental quality evaluation is an important adjust and control measure for coordinating pressure, state and response factors of basin eco-environmental system, and achieving basin sustainable development.The difficulty is how to determine
doaj  

Adaptive Disorder as the Hallmark of Nanobodies Antigen-Binding Loops. [PDF]

J Chem Inf Model
Bagordo D, Trèves G, Santorsola M, Colombo G, Lescai F.   +4 more
europepmc   +1 more source

Self‐Sensing Artificial‐Muscle‐Empowered Humanlike Perception, Interaction, and Positioning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The proposed self‐sensorized artificial muscle (SSAM) can sense its length change as small as 0.01 mm via a seamlessly integrated multi‐segment induction coil. The SSAM provides accurate length information regardless of its loadings, driving pressure, or muscle design, adequate for robust data‐driven feedback control.
Houping Wu, Chenchen Li, Yufeng Wang, Zhengyan Wang, Yulian Peng, Zhipeng Wei, Hongbo Wang   +6 more
wiley   +1 more source

Constructing three-way classifier with interval granulation neighborhood rough sets based on uncertainty invariance. [PDF]

Front Neurorobot
Wang Y, Xu T, Huang R, Liu Z, Yang J.
europepmc   +1 more source

The Theory of Fuzzy Logic and its Application to Real Estate Valuation [PDF]

Fuzzy logic is based on the central idea that in fuzzy sets each element in the set can assume a value from 0 to 1, not just 0 or 1, as in classic set theory. Thus, qualitative characteristics and numerically scaled measures can exhibit gradations in the
Carlo Bagnoli, Halbert C. Smith
core  

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

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, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source

Measure and integral with purely ordinal scales [PDF]

We develop a purely ordinal model for aggregation functionals for lattice valued functions, comprising as special cases quantiles, the Ky Fan metric and the Sugeno integral. For modeling findings of psychological experiments like the reflection effect in
Dieter Denneberg, Michel Grabisch
core  

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

Advanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi, Bairong Zhu, Haoyu Liu, Tingting Yu   +3 more
wiley   +1 more source

A method for multi-criteria decision making with probabilistic linguistic term based on cloud TOPSIS. [PDF]

Sci Rep
Almandeel A, Rao C, Zhang X, Qi H.
europepmc   +1 more source

Fuzzy Entropy Measures and Its Applications

, 2012
Uncertainty and fuzziness are the basic nature of human thinking and of many real world objectives. Fuzziness is found in our decision, in our language and in the way we process information.
Baig, M. A. K. (Guide), Dar, Mohd Javid (Scholar)   +1 more
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