Topics in Rough Set Theory: Current Applications to Granular Computing by Seiki Akama (Author)

Publisher: COMPUTER SCIENCE

Availability: In Stock
SKU: 42097
Number of Pages: 216

Rs.570.00

Rs.895.00

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Topics in Rough Set Theory: Current Applications to Granular Computing

Author: Seiki Akama
Paper Quality: white paper
Category: Computer Science, Artificial Intelligence, Mathematical Logic
Recommended For:
BS/MS Computer Science, Artificial Intelligence, Data Science, and Applied Mathematics students; researchers and professionals working in granular computing, soft computing, and knowledge discovery.

Key Points:

Advanced Treatment of Rough Set Theory
Provides a deep theoretical foundation in rough sets and their mathematical properties.
Focus on Granular Computing
Explores the application of rough sets in granular computing, knowledge representation, and uncertainty modeling.
Modern Research and Applications
Discusses real-world applications in decision analysis, machine learning, and intelligent systems.
Interdisciplinary Relevance
Bridges concepts from logic, information theory, and AI for a comprehensive view of data granulation.
Authored by a Leading Expert
Seiki Akama is a renowned researcher in the fields of non-classical logics, rough sets, and soft computing, bringing academic depth and clarity.
Suitable for Graduate-Level Study and Research
Ideal for those pursuing research in computational intelligence, data mining, and logic-based knowledge systems.