The paper briefly discusses recent criticism of the fuzzy system approach and concludes with a prospect on soft computing in AI.doi:10.1007/978-3-322-86825-1_12Christian FreksaVieweg+Teubner VerlagFreksa C, Fuzzy systems in AI: An overview. In: Kruse R, Gebhardt J, Palm R, eds. Fuzzy ...
Every system which works onArtificial Intelligencehas a Knowledgebase. The Fuzzy logic system is also an AI-based system, and thus it also has its own knowledge base where all the information and data for the reference by the agent is stored. In the Knowledge Base of Fuzzy Logic system, th...
What is Fuzzy Logic in AI?Fuzzy Logic (FL) is a method by which an expert system or any agent based on Artificial Intelligence performs reasoning under uncertain conditions. In this method, the reasoning is done in almost the same way as it is done in humans. It can be said that Fuzzy...
Fuzzy systems in AI: An overview This paper reviews motivations for introducing fuzzy sets and fuzzy logic to knowledge representation in artificial intelligence. First we consider some areas of successful application of conventional approaches to system analysis. We th... C Freksa - Vieweg+Teubner ...
(AIFZ 2023) is a forum for presenting new advances and research results in the fields of Artificial Intelligence and Fuzzy Logic Systems. The conference will bring together leading researchers, engineers, and scientists in the domain of interest from around the world. The scope of the conference...
AI based design of a fuzzy logic scheme for speed control of induction motors using SVPWM technique was proposed by the authors Ashok et al. in [7]... SAR Kashif,MA Saqib - International Conference on Electrical Engineering 被引量: 7发表: 2008年 A Decoupling Control Strategy of IPM Machine...
This paper proposes a novel approach that combines fuzzy control with kNN prediction and simulation for fighting game AI to tackle the problem of "cold start" and improve the performance of the existing method. Using FightingICE as the platform, past research has proven that the kNN algorithm is...
Explainable NFS: With the increase in the use of AI/ML in day-to-day life, Explainability/Interpretability is one of the key areas to improve and many researchers are also working towards making explainable/interpretable NFS. In [97] a deep type-2 FRBSs with the special focus on high-dime...
Fig. 17. Neuro-Fuzzy system structure. A neuro-fuzzy system can be described as a fuzzy rules system. It is possible for both to create the model from training data from scratch, or it can be initialized by prior knowledge in fuzzy rules form. Neuro-fuzzy approach approximates n-dimensiona...
Abstract Intelligent Systems (referred to below as ISs) have created a need for new ways to solve the problems that arise in constructing them. Authors and Affiliations Editor information Editors and Affiliations Department of Systems Control Engineering, College of Engineering, Hosei University, Koganei...