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Book Chapter

Hybrid Intelligent Systems for Sustainable Development and Decision Support

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Chinnala Balakrishna
Associate Professor, Department of CSE(Cyber Security), Guru Nanak Institute of Technology(Autonomous), Hyderabad, Telangana, India.
balu5804@gmail.com
Pages: 146-154
Keywords: Hybrid Intelligent Systems; Sustainable Development; Decision Support; Machine Learning; Environmental Monitoring; Renewable Energy.

Abstract

The unprecedented development of artificial intelligence (AI) has created new opportunities for addressing complex global challenges, particularly in the domain of sustainable development. This chapter explores the application of Hybrid Intelligent Systems (HIS) for promoting sustainability and enhancing decision support. By combining the strengths of human intelligence (HI) and artificial intelligence (AI), HIS offers a powerful framework for tackling multifaceted environmental, social, and economic problems. This chapter introduces a comprehensive methodology for designing and implementingHIS in the context of sustainable development, with a focus on environmental monitoring,renewable energy optimization, and carbon emissions reduction. We present a case study that demonstrates the effectiveness of a hybrid intelligent decision support system in improving prediction accuracy, optimizing resource allocation, and supporting policy-making. The results indicate that HIS can significantly enhance the efficiency and effectiveness of sustainability initiatives, leading to better environmental outcomes and more informed decisionmaking. The chapter concludes with a discussion of the challenges and future research directions in the field of hybrid intelligent systems for sustainable development.

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Principles of Hybrid Intelligent Systems Principles of Hybrid Intelligent Systems