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Rough Sets and Knowledge Technology

, applications of rough sets, intelligent systems and applications, knowledge technology, domain-oriented data-driven data mining, uncertainty;

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Rough Sets and Knowledge Technology

This book constitutes the thoroughly refereed conference proceedings of the 10th International Conference on Rough Sets and Knowledge;

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Rough Sets, Fuzzy Sets, Data Mining and Granular Computing

This book constitutes the refereed proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular;

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Transactions on Rough Sets XVI

of evidence. Volume XVI includes extensions of papers from the Rough Sets and Knowledge Technology Conference which was held in Banff, Canada;

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Hybrid Rough Sets and Applications in Uncertain Decision-Making

forecasting, and knowledge discovery. With the ability to enhance the advantages of other soft technology theories, hybrid rough set theory is quickly;

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Hybrid Rough Sets and Applications in Uncertain Decision-Making

forecasting, and knowledge discovery. With the ability to enhance the advantages of other soft technology theories, hybrid rough set theory is quickly;

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Rough Sets

); Rough Sets and Granular Computing (in relation to RSFDGrC series organized since 1999); Rough Sets and Knowledge Technology (in relation to RSKT;

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Rough Sets

Granular Computing (in relation to RSFDGrC series organized since 1999); Rough Sets and Knowledge Technology (in relation to RSKT series organized;

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Rough Sets

reviewed and selected from 108 submissions. The papers are grouped in topical sections on Rough Sets, Approximation and Granulation; Rough Sets;

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Transactions on Rough Sets XXI

The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical;

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Transactions on Rough Sets XX

The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical;

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Transactions on Rough Sets XVII

The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical;

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Transactions on Rough Sets XIII

The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical;

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Transactions on Rough Sets XIX

The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical;

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Rough Sets: Selected Methods and Applications in Management and Engineering

, much of the focus has been on the theoretical understanding of Rough Sets, with a survey of Rough Sets and their applications within business;

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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

This book constitutes the refereed conference proceedings of the 15th International Conference on Rough Sets, Fuzzy Sets, Data Mining and;

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Algebraic Methods in General Rough Sets

This unique collection of research papers offers a comprehensive and up-to-date guide to algebraic approaches to rough sets and reasoning;

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Rough Sets and Current Trends in Computing

This book constitutes the refereed proceedings of the 9th International Conference on Rough Sets and Current Trends in Computing, RSCTC;

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Fuzzy Sets, Rough Sets, Multisets and Clustering

together contributions by leading researchers in the field, it concretely addresses clustering, multisets, rough sets and fuzzy sets, as well as;

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Transactions on Rough Sets II

exploredusing methods workedout within fuzzy and rough paradigms. By the very nature of fuzzy and rough paradigms, outlined above, they are related to;

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Reasoning with Rough Sets

set theory, then examines selected relations between rough set theory and non-classical logics including modal logic. In addition, it develops;

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Rough Fuzzy Image Analysis

Emphasizing the utility of fuzzy, near, and rough sets in image analysis, "Rough Fuzzy Image Analysis" introduces the fundamentals and;

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Multiple Fuzzy Classification Systems

and business applications. Fuzzy classifiers use fuzzy rules and do not require assumptions common to statistical classification. Rough set;

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Recent Trends and Future Technology in Applied Intelligence

; meta-heuristics; multi-agent systems; natural language processing; neural networks; planning, scheduling and spatial reasoning; rough sets;

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On Topological Nearness

or more rough sets can share objects with matching descriptions. The main advantage of rough set and near sets theories in data analysis;

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Mining Intelligence and Knowledge Exploration

network analysis, security, and fuzzy rough sets.;

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Mining Intelligence and Knowledge Exploration

recognition, speech processing, information retrieval, natural language processing, social network analysis, security, and fuzzy rough sets.;

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