Name: Hybrid Information Systems: Non-Linear Optimization Strategie with Artificial Intelligence (en Inglés)
SKU: 58047031
Price: 98.37 USD
Availability: InStock
Author: Bhardwaj, Ramakant ; Dutta, Pushan Kumar ; Raj, Pethuru

portada Hybrid Information Systems: Non-Linear Optimization Strategie with Artificial Intelligence (en Inglés)

Hybrid Information Systems: Non-Linear Optimization Strategie with Artificial Intelligence (en Inglés)

Formato

Libro Físico

Editorial

de Gruyter

Autor

Bhardwaj, Ramakant ; Dutta, Pushan Kumar ; Raj, Pethuru

Idioma

Inglés

N° páginas

518

Encuadernación

Tapa Blanda

ISBN13

9783111329796

Categorías

Matemáticas aplicadas
Tecnología de la información: cuestiones generales
Inteligencia artificial

Hybrid Information Systems: Non-Linear Optimization Strategie with Artificial Intelligence (en Inglés)

Bhardwaj, Ramakant ; Dutta, Pushan Kumar ; Raj, Pethuru (Autor) · de Gruyter · Tapa Blanda

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Reseña del libro "Hybrid Information Systems: Non-Linear Optimization Strategie with Artificial Intelligence (en Inglés)"

The book provides comprehensive and cognitive approach to building and deploying sophisticated information systems. The book utilizes non-linear optimization techniques, fuzzy logic, and rough sets to model various real-world use cases for the digital era. The hybrid information system modeling handles both qualitative and quantitative data and can effectively handle uncertainty and imprecision in the data. The combination of non-linear optimization mechanisms, fuzzy logic, and rough sets provides a robust foundation for next-generation information systems that can fulfill the demands of adaptive, aware, and adroit software applications for the knowledge era. The book emphasizes the importance of the hybrid approach, which combines the strengths of both mathematical and AI techniques, to achieve a more comprehensive and effective modeling process. Hybrid information system modeling techniques combine different approaches, such as fuzzy logic, rough sets, and neural networks, to create models that can handle the complexity and uncertainty of real-world problems. These techniques provide a powerful tool for modeling and analyzing complex systems, and the applications of hybrid information system modeling demonstrate their potential for solving real-world problems in various fields.