Supported by Huaqiao University, the 8th International Conference on Fuzzy Systems and Data Mining (FSDM 2022) is scheduled to be held during November 4-7, 2022 in Xiamen City, one of the most beautiful coastal cities in southeast China. With emphasis on Fuzzy Theory, Algorithm and System, Fu...
2022, Fuzzy Sets and Systems Citation Excerpt : Later Chaudhari and Komejwar [21] introduced fuzzy regular grammars with fuzzy initial variables and proved that the fuzzy finite automata with fuzzy initial states defined in [8,11,12] are equivalent to fuzzy regular grammars, by showing that the...
free library for clustering and neuro-fuzzy systems data-sciencedata-miningcppclusteringneuro-fuzzy UpdatedNov 20, 2024 C++ nirbhayph/Fleet-Management-System Star6 Fuzzy Q learning in Tensorflow , Training an ANFIS. qlearningregressiondecision-treesanfispickupneuro-fuzzytaxi-drivers ...
Mining spatial colocations from image-objects: A tensor factorization approach The spatial colocation problem is totally different from the traditional association rule problem, as it operates on spatial data and not on conventional t... SK...
Application of an MCDM model with data mining techniques for green supplier evaluation and selection. Appl. Soft Comput. 2021, 109, 107534. [Google Scholar] [CrossRef] Fazlollahtabar, H.; Kazemitash, N. Green supplier selection based on the information system performance evaluation using the ...
2021, Knowledge-Based Systems Show abstract Unsupervised attribute reduction for mixed data based on fuzzy rough sets 2021, Information Sciences Citation Excerpt : Inspired by the original fuzzy rough set model, a series of extensions of the fuzzy rough set were proposed [40,25]. Fuzzy rough set...
Interpretability is the dominant feature of a fuzzy model in security-oriented fields. Traditionally fuzzy models based on expert knowledge have obtained well interpretation innately but imprecisely. Numerical data based fuzzy models perform well in prec
discovery, Software warehouse and software mining, Bioinformatics, Financial engineering. Information Technology for Knowledge Discovery- Data engineering; Signal processing and multimedia; Communications and networking; Software engineering; Automation, robotics, and control; Distributed systems and computer ...
“white-box” and the ability to learn from data given by “black-box” models (e.g., fuzzy systems). Regarding data-driven modeling, the dependency between input and output can be built by linear or nonlinear models. A regression model is linear when the rate of change between input–...
and data mining g. Fuzzy image processing and pattern recognition h. Fuzzy information granulation i. Knowledge acquisition and representation in fuzzy information (2) Fuzzy Sets and Systems a. Fuzzy sets b. Fuzzy analysis c. Fuzzy topology and fuzzy mapping d. Fuzzy equation e. Fuzzy ...