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Techniques and application of soft computing

  • Unique Paper ID: 180675
  • Volume: 12
  • Issue: 1
  • PageNo: 1901-1907
  • Abstract:
  • This paper presents a comprehensive analysis of soft computing techniques and their various applications across multiple domains. Soft computing represents a collection of computational methodologies that aim to solve complex real-world problems through approximation and partial truth where traditional computing approaches face limitations. This research explores the fundamental techniques including fuzzy logic, neural networks, evolutionary algorithms, and probabilistic reasoning, examining their theoretical foundations and practical implementations. Through a systematic literature review and analysis of case studies, this paper demonstrates how soft computing approaches effectively address uncertainty, imprecision, and nonlinearity in diverse applications ranging from control systems and pattern recognition to decision support systems and optimization problems. The research also proposes a novel integrated framework that combines multiple soft computing techniques to enhance problemsolving capabilities. The findings highlight the growing significance of soft computing in the age of big data and complex systems, revealing promising directions for future research and development.
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  • ISSN: 2349-6002
  • Volume: 12
  • Issue: 1
  • PageNo: 1901-1907

Techniques and application of soft computing

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