Titlebook: Soft Computing for Data Analytics, Classification Model, and Control; Deepak Gupta,Aditya Khamparia,Oscar Castillo Book 2022 The Editor(s)

脆弱带来

Book 2022d section focuses on the fuzzy driven optimization methods for the control systems. The chapters has been written and edited by active researchers, which cover hypotheses and practical considerations; provide insights into the design ofhybrid algorithms for applications in data analytics, classification model, and engineering control..

BOLUS

jovial

An Optimization of Fuzzy Rough Set Nearest Neighbor Classification Model Using Krill Herd Algorithm tion and classification of emotions, expressed in social media content, is beneficial for several applications in the domains like e-commerce, politics, social welfare and so on. Several works have been conducted earlier focusing sentiment and emotion analysis. These works primarily concentrated on

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Fuzzy Wavelet Neural Network with Social Spider Optimization Algorithm for Pattern Recognition in Me) and machine learning (ML) have emerged as powerful tools for solving medical data classification problems. The current research article presents a new Fuzzy Wavelet Neural Network (FWNN) with Social Spider Optimization (SSO) algorithm to recognize the medical data. The aim of FWNN is to utilize bo

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Optimal Neutrosophic Rules Based Feature Extraction for Data Classification Using Deep Learning Modent domains including data mining, communications technology, medicine, science, and so on. The problems experienced in the current system are maximum computational time and feature selection model. To overcome these challenges, an innovative classification process is proposed in this paper. The rese

雀斑

Self-Evolving Interval Type-2 Fuzzy Neural Network Design for the Synchronization of Chaotic Systemsd to synchronize the chaotic systems. The self-evolving algorithm is applied to autonomously construct the network structure. The function-link network and the asymmetric membership function are applied to enhance the learning capability of the proposed network. The parameters of the proposed networ

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Mangle

闲逛

Multicriteria Group Decision Making Using a Novel Similarity Measure for Triangular Fuzzy Numbers Bae revealing its applications to group decision making method. The proposed SM approach is based on the idea of defining two expected values and correspondingly their variances for the left and right reference functions of a TFN. The proposed approach is checked for its rationality, by comparing with