Based on hybridization of fuzzy computer science essay
Systems, Knowledge Based Systems, Soft Computing, Fuzzy Optimization and Decision Making, Applied Soft Computing, Journal of Intelligent and Fuzzy Systems, and Information Sciences. Peer review under the responsibility of the organizing committee of the International Conference on Advances in Information Technology. The technique of fluorescence in situ hybridization FISH is based on the same principle as any DNA hybridization method that utilizes the ability of single-stranded DNA to hybridize with complementary DNA. In the case of FISH, the target DNA, which can be metaphase chromosomes, interphase nuclei, or tissue sections, is attached to a glass. Secondly, Paillier coding is introduced to calculate the coded relevance score of multiple keywords for order preservation. Then, this scheme also adopts a queue-based search method to break the linkability between the keywords and the search results and protect the access pattern. Our proposed scheme achieves fuzzy matching. In this paper, we proposed a fuzzy logic-based intelligent cloud broker that cleans up the inaccurate condition of the inexperienced cloud user while providing the infrastructure service requirements. A new optimization algorithm called Hybrid Gray Wolf Optimizer with Crow search algorithm GWO-CSA is developed in this paper for dealing with large-scale numerical optimization problems. The proposed GWO-CSA algorithm combines the strengths of both the gray wolf optimizer GWO and the crow search algorithm CSA with the goal of escape. The method is based on the hybridization of partial solutions obtained from mono-objective topology optimization tasks. To investigate the efficiency, effectiveness and capabilities of the developed hybridization algorithm, a comparison was made between the proposed approach and traditional topological optimization techniques such as Genetic, A general pattern for hybridization. Our approach is not specific to hypersonic reentry in combination with chemical equilibrium. The idea of constructing a hybrid scheme based on both numerical simulation and machine learning has already been explored in previous works. Recently, the use of more than one soft computing method has been implemented by many researchers. Lu and Lo, 2002, Wong et al. 2003, Alvisi et al. 2006, Ponnambalam et al. 2003, Nayak et al. 2004. This study aims to demonstrate the applicability of hybridization of fuzzy logic and ANFIS for groundwater quality. ANFIS, also known as the universal estimator, is the combination of artificial neural networks ANNs and the Takagi-Sugeno fuzzy inference system first developed in the years, Jang, 1991, 1993 Jang et al. 1997 Combining neural networks and fuzzy logic is a way to overcome the disadvantages of both techniques. A new approach is introduced to improve the accuracy of pixel-wise classification based on the combination of fuzzy clustering and wavelet normalization that will improve the reliability of the M. -FISH imaging technique for identifying subtle and cryptic chromosomal abnormalities for the diagnosis of cancer and research into genetic disorders; Recently, there seems to be an increasing interest in time series forecasting using soft computing SC techniques, such as fuzzy sets, artificial neural networks ANNs, rough set RS and evolutionary computing EC. Among them, fuzzy set is a commonly used technique in this domain, referred to as “Fuzzy Time Series FTS”. Herein, this article discusses various hybridization schemes that provide intelligent,