Results 231 to 240 of about 131,083 (291)

Optimizing ergonomic risk assessment using fuzzy irregular cellular automata: a novel approach to modeling musculoskeletal disorders in industrial workstations. [PDF]

Sci Rep
Kashani M, Zare A, Barzekar S, Jaamebozorgi MB, Moradpour MA, Sadeghi M.   +5 more
europepmc   +1 more source

An Artificial Intelligence-Based Fuzzy Logic System for Periodontitis Risk Assessment in Patients with Type 2 Diabetes Mellitus. [PDF]

Bioengineering (Basel)
Scrobota I, Iova GM, Marcu OA, Sachelarie L, Vlad S, Duncea IM, Blaga F.   +6 more
europepmc   +1 more source

Introducing AI & Innovation

AI &Innovation, EarlyView.
Mirko Farina, Xiao Yu, Rongrong Ji, Chen Jin, Vincent Blok, Paolo Ciancarini, Ngcaweni Busani, Witold Pedrycz   +7 more
wiley   +1 more source

Autism Data Classification Using AI Algorithms with Rules: Focused Review. [PDF]

Bioengineering (Basel)
Alsbakhi A, Thabtah F, Lu J.
europepmc   +1 more source

Reliability assessment of friction stir welds in AA100 aluminium alloy using ANN and ANFIS predictive models. [PDF]

Sci Rep
Gokulachandran J, Sumesh A, Narassima MS, Thenarasu M, Raghu R, Thekkuden DT, Tirkolaee EB.   +6 more
europepmc   +1 more source

Improving road safety in smart cities using machine learning techniques. [PDF]

Sci Rep
Abid MS, Hussain M, Nabi S, Sehar T, Hussain D, Gu YH.   +5 more
europepmc   +1 more source

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Discovering fuzzy association rules using fuzzy partition methods

Knowledge-Based Systems, 2003
Fuzzy association rules described by the natural language are well suited for the thinking of human subjects and will help to increase the flexibility for supporting users in making decisions or designing the fuzzy systems. In this paper, a new algorithm named fuzzy grids based rules mining algorithm (FGBRMA) is proposed to generate fuzzy association ...
Yi-Chung Hu, Ruey-Shun Chen, Gwo-Hshiung Tzeng   +2 more
openaire   +3 more sources

Meta-Fuzzy Items for Fuzzy Association Rules

2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2021
A large number of systems with a great predictive capacity, such as Deep Learning, are being currently used to solve a wide variety of real problems. However, the models obtained are not easy to understand by scientists, giving rise to the field of eXplainable Artificial Intelligence, which encourage techniques that obtain accurate and understandable ...
Carmen Biedma-Rdguez, Maria Jose Gacto, Rafael Alcala, Jesus Alcala-Fdez   +3 more
openaire   +1 more source

Mining fuzzy association rules

Proceedings of the sixth international conference on Information and knowledge management, 1997
In his paper, we introduce a novel technique, called F-APACS, for mining jkzy association rules. &istlng algorithms involve discretizing the domains of quantitative attrilmtes into intervals so as to discover quantitative association rules. i%ese intervals may not be concise and meaning@ enough for human experts to easily obtain nontrivial knowledge ...
Keith C. C. Chan, Wai-Ho Au
openaire   +1 more source