Results 71 to 80 of about 18,737 (215)
Human‐Machine Mutual Trust Based Shared Control Framework for Intelligent Vehicles
This work introduces a bidirectional‐trust‐driven shared control framework for human‐machine co‐driving. The method models human‐to‐machine trust from intention discrepancies and Bayesian skill assessment, and machine‐to‐human trust from integrated ability evaluation.
Zhishuai Yin +4 more
wiley +1 more source
ABSTRACT We propose a dynamic optimization framework for Medical Oxygen Supply Chains (MOSCs) operating under concurrent disasters. The framework aims to minimize both the total response and transportation time, as well as the total operational cost. These goals are subject to constraints involving evacuation, capacity, maintenance, and inventory.
Saptadeep Biswas +6 more
wiley +1 more source
Background. The development of ground-based mobile robotic platform (GBMRP) motion control systems requires ensuring autonomy, adaptability to dynamic environmental changes, and consideration of limitations on computing resources, mass, dimensional ...
Ivan Tsmots +4 more
doaj +1 more source
Shannon entropy-based approach for calculating values of WABL parameters
In the application phase of the fuzzy theory, it is an obvious advantage to have a valuable defuzzification. The defuzzification method that we deal with in this work is a flexible, adaptable and multi-purpose method.
Ali Mert
doaj +1 more source
Adaptive defuzzification for fuzzy systems modeling [PDF]
We propose a new parameterized method for the defuzzification process based on the simple M-SLIDE transformation. We develop a computationally efficient algorithm for learning the relevant parameter as well as providing a computationally simple scheme ...
Filev, Dimitar P., Yager, Ronald R.
core +1 more source
Automated software quality visualisation using fuzzy logic techniques [PDF]
In the past decade there has been a concerted effort by the software industry to improve the quality of its products. This has led to the inception of various techniques with which to control and measure the process involved in software development ...
Allison, I, Senior, J, Tepper, J
core +1 more source
A Fuzzy Framework for Realized Volatility Prediction: Empirical Evidence From Equity Markets
ABSTRACT This study introduces a realized volatility fuzzy time series (RV‐FTS) model that applies a fuzzy c‐means clustering algorithm to estimate time‐varying c latent volatility states and their corresponding membership degrees. These memberships are used to construct a fuzzified volatility estimate as a weighted average of cluster centroids.
Shafqat Iqbal, Štefan Lyócsa
wiley +1 more source
ABSTRACT A formation inversion algorithm with real‐time performance and accuracy is crucial for natural gamma logging while drilling (LWD). However, traditional inversion algorithms are often limited by high computational resource consumption and insufficient accuracy.
Juntao Liu +4 more
wiley +1 more source
Material supply has a very important role in construction process. Material supply process require suitable and reliable supplier. In this study, fuzzy set theory is used as the appraisal and selection process of material suppliers to supply materials ...
Sentosa Limanto +3 more
doaj
Solving the fully fuzzy multi-choice linear programming model [PDF]
Purpose: Fuzzy multi-choice problems are widely used in the real world in the fields of industry, agriculture, science, technology, etc. Therefore, studying and solving such problems is essential.
Zahra Arami +2 more
doaj +1 more source

