A method for realizing automatic dynamic difficulty adjustment is fuzzy logic. Fuzzy logic, which was introduced by Zadeh, as a methodology for computing with words, is ideal for address problems that contain uncertainty and imprecise data [1,35]. Given the fact that the determination of a playe...
Fuzzy logic can provide tools for extracting and use knowledge from thesaurus and ontologies, formalize sentences and implement deduction capabilities in Question Answering systems, combine fuzzy values and different logics, design clustering algorithms and manage Meta-search engines architectures....
As the customer arena evolves, the pace at which product innovation initiatives fail is growing exponentially, and innovators who previously succeeded now struggle to sustain their performance, raising the question, “Why is it so difficult to establish and preserve the capacity to innovate?” (...
ijcai 2015 论文列表 Proceedings of the Workshop on Fuzzy Logic in AI, FLinAI 2015, co-located with the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, July 25, 2015. Preliminary Study Towards a Fuzzy Model for Visual Attention. ...
It is in the second control system, the traditional pitch controller (Figure 2), that there is room for improving the system performance with the integration of intelligent control techniques, e.g., fuzzy logic control. It is worth noting that the reference control system is based on a Propor...
A pervasive question is “What is the use of applying Resolving sets rather than Dominating sets?” The dominating sets involve only strong arcs but resolving sets help find the unique helpful sets using strong arcs. Combining these sets will enable us to find more accurate sets for many differ...
The proposed method employs Fuzzy logic to create a mathematical model that aids negotiators in quantifying their winning percentages. The model is put to the test on real-life negotiations scenarios such as the Iraqi-Jordanian oil deal, and the iron ore negotiation (2005-2009). The presented ...
The control scheme consists of a combination of two fuzzy logic controllers. The first controller is used for insuring object stable grasping and the second for controlling object slipping motion. Hence, by adding the slippage information, we achieved a grasping task with minimum fingertip force ...
Many state-of-the-art technologies developed in recent years have been influenced by machine learning to some extent. Most popular at the time of this writing are artificial intelligence methodologies that fall under the umbrella of deep learning. Deep learning has been shown across many ...
The design was done in Matlab software, college graduate Surcolombiana and using the Fuzzy Logic Toolbox and simulated in Matlab Simulink, considering the characteristic equation of the plant. Figure-12. Response time to step. Figure-13. Relative humidity error. Figure-10. Temperature error. ...