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@article{180675,
        author = {Renuka Deshpande and Prof. Pratibha Adkar},
        title = {Techniques and application of soft computing},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {1901-1907},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180675},
        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.},
        keywords = {Soft Computing, Fuzzy Logic, Neural  Networks,  Evolutionary  Algorithms,  Learning, Computational Intelligence},
        month = {June},
        }