Examples and Applications on Hybrid Computational Intelligence Systems

Abstract

This chapter discusses hybrid computational intelligence systems in various domains. The major techniques which are considered for the hybridization are the neural network, fuzzy logic, and genetic systems. Various neuro-fuzzy systems for course selection for students, web page classifications, finding a suitable profile for matrimonial applications and job, student aptitude testing, diagnosis, and emotional detection are presented in this chapter. The fuzzy convolutional neural network for COVID-19 analysis from various CT scanned lung images is also discussed in this chapter with necessary details such as neural network architecture, fuzzy membership functions, and training data sets. The chapter also discuss genetic fuzzy systems for fashion design and evolving neural network topologies with the required details. The genetic encoding, operations, neural network architecture, and fuzzy membership functions for these applications are discussed in detail. The other examples and applications demonstrated in the chapter include fuzzy collaborative filtering of movie recommendations, software quality evaluation using neuro-fuzzy-genetic hybridization, and introduction to the application of type-2 neuro-fuzzy system for the reliability of software products. For most of the applications included in this chapter, generic process flows and architectures of the system are illustrated graphically along with other details. These architecture are often having multiple layers and they are domain independent. The examples and applications discussed use these architectures to show the utilities of the architecture. At the end, the chapter enlists approximately 40 core and applied research and project possibilities in various areas. These applications include domain independent fuzzy activation function, fuzzy ontology as knowledge representation structure, idea generation framework, automatic knowledge discovery, eLearning system, automatic evolution of decision trees, healthcare advisory systems, product recommendation, and trust based network, consumer modeling, game playing, finance, marketing, etc.