Fuzzy rough set theory

Continued part 1, part 2 of ebook "Search methodologies: Introductory tutorials in optimization and decision support techniques" provides readers with contents including: very large-scale neighborhood search; constraint programming; multi-objective optimization; sharpened and focused no free lunch and complexity theory; machine learning; fuzzy reasoning; rough-set-based decision support; hyper-heuristics; approximations and randomization; fitness landscapes;...

371p thamnhuocgiai 24-09-2023 6 5   Download

The paper depicts complete study about the second method with some proposed algorithms. It focuses mainly on binary classification with kNN and SVM for imbalanced data. Experiments and comparisons among related methods will confirm pros and coin of each method with respect to performance accuracy and time consumption.

20p viguam2711 11-01-2021 10 2   Download

In addition to traditional exploiting information methods, researchers have developed attribute reduction methods to reduce the size of the data space and eliminate irrelevant attributes. Our attribute reduction is based on the dependence between attributes in traditional rough set theory and in fuzzy rough set. The author built the tool which is inclusion degree and tolerance-based contingency table to solve the problem of finding the approximation set on set-valued information systems.

7p mangamanga 29-02-2020 25 0   Download

The study will further discuss the novel real-world-semantics-based approach (RWSapproach) to the interpretability of fuzzy systems proposed in [8] to show that the RWS-interpretability of fuzzy systems in this approach is very essential and practical. It is also analyzed that the usual theories as in mathematics and physics are all RWS-interpretable or, roughly speaking, they are able to model their real-world parts, properly.

21p thuyliebe 05-10-2018 26 0   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