Complex fuzzy inference system

The paper is organized as follows: Section 2 provides the preliminaries, which include the fundamental definitions of the M-CFIS model, CFTL, and tree. Section 3 investigates the novel CFRG-based complex fuzzy transfer learning. Section 4 evaluates the proposed RTrieCFTL by running it on both real-life and benchmark data sets. To conclude, the last part must outline this research’s future work.

14p dianmotminh02 03-05-2024 3 2   Download

The prediction of weather changes, such as rainfall, clouds, floods, and storms, is critical in weather forecasting. In this paper, we present a novel method for weather nowcasting based on Mamdani complex fuzzy inference with multiple band input data.

18p vimulcahy 18-09-2023 4 4   Download

This study aims to propose a solution to handle the uncertainty and imprecise knowledge associated with the collected data using Interval type-2 fuzzy inference system, or IT2FIS. IT2FIS has been shown to be capable of generalizing functional relationship between input and output while reducing computational complexity.

6p viannee 02-08-2023 5 4   Download

This paper proposes an asymmetric complex fuzzy inference system (ACFIS) that improves a conventional fuzzy inference system (FIS) in two ways. First, the proposed model uses the novel neural-net-like aim–object parts, making the model °exible, in terms of model size of parameters and terse asymmetric structure.

16p redemption 20-12-2021 14 9   Download

Research objectives of the thesis: Research the theories of complex fuzzy sets, complex fuzzy logic and measures based on complex fuzzy sets; research and development of fuzzy inference system based on complex fuzzy sets; research applied techniques to reduce rules, optimize fuzzy rules in complex fuzzy inference system; research on how to represent rules based on fuzzy knowledge graphs to reduce inference computation time for the test set and deal with the cases where the new dataset is not present in the training data set.

27p beloveinhouse01 15-08-2021 15 4   Download

This is an introductive study on what Fuzzy Logic is, on the difference between Fuzzy Logic and the other many-valued calculi and on the possible relationship between Fuzzy Logic and the complex sciences. Fuzzy Logic is nowadays a very popular logic methodology. Different kinds of applications in cybernetics, in software programming and its growing use in medicine seems to make Fuzzy Logic, according to someone, the “new” logic of science and technology.

516p bachduong1311 10-12-2012 60 18   Download

Evolution of global technologies has prompted increasing complexity of applications developed in both, the industry and the scientific research fields. These complexities are generally attributed to nonlinearities, poorly defined dynamics and absence of apriori information about the systems. Imprecision, uncertainties and vagueness in information about the system are also playing vital roles in enhancing the complexity of application.

518p wqwqwqwqwq 06-07-2012 137 48   Download