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A Comprehensive Study of Various Fuzzy C-Means Clustering Algorithms
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Author(s): Pooja Sangwan (Lovely Professional University, India), Rakesh Kumar (Lovely Professional University, India), Amandeep Kaur (Chandigarh University, India)and Gaurav Dhiman (Department of Computer Science, Government Bikram College of Commerce, Patiala, India & University Centre for Research and Development, Department of Computer Science and Engineering, Chandigarh University, Gharuan, Mohali, India & Department of Computer Science and Engineering, Graphic Era University (Deemed), Dehradun, India)
Copyright: 2022
Pages: 20
Source title:
AI-Enabled Multiple-Criteria Decision-Making Approaches for Healthcare Management
Source Author(s)/Editor(s): Sandeep Kumar Kautish (Chandigarh University, Mohali, India)and Gaurav Dhiman (Government Bikram College of Commerce, India & Lebanese American University, Lebanon)
DOI: 10.4018/978-1-6684-4405-4.ch009
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Abstract
Digital image processing is becoming another ever-growing yet popular field of demands for daily life, ranging from medicine, room evaluation, security, support, and security of the automotive community, among many others. The proposed framework focuses mostly on fuzzy logic structures somewhere in optical image processing. The main goal of most of this work is to demonstrate how fuzzy logic is implemented in image processing with little more than a quick introduction of fuzzy logic and optical image processing. Fuzzy logic, one of those artificial intelligence decision-making approaches, provides even greater room for use. When everything that would also have been allowed access to declarations at all since birth, particularly concerning in popularity in recent years, fuzzy logic as a whole has been proven to be true in virtually all systemic fields. Furthermore, the implications continue to suggest that the previously presented technique is worthy of attention in image processing software systems with the appropriate expansion.
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