Published April 12, 2007
by Springer .
Written in English
|Contributions||James F. Peters (Editor), Andrzej Skowron (Editor), Ivo Düntsch (Editor), Jerzy Grzymala-Busse (Editor), Ewa Orlowska (Editor), Lech Polkowski (Editor)|
|The Physical Object|
|Number of Pages||499|
Get this from a library! Transactions on rough sets. VI, Commemorating the life and work of Zdzislaw Pawlak, part I. [James F Peters; Andrzej Skowron;]. Transactions on rough sets VI and VII: commemorating the life and work of Zdzislaw Pawlak. The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other. Transactions on rough sets VI: commemorating the life and work of Zdzisław Pawlak, part I A personal view on AI, rough set theory and professor Pawlak Pages –
Chakraborty M Pawlak's landscaping with rough sets Transactions on rough sets VI, () ella Hassanien A and Śl¸zak D () Rough neural intelligent approach for image classification: A case of patients with suspected breast cancer, International Journal of Hybrid Intelligent Systems, , (), Online publication date: 1-Dec The LNCS journal Transactions on Rough Sets is devoted to the entire spectrum of rough sets related issues, from logical and mathematical foundations, through all aspects of rough set theory and its applications, such as data mining, knowledge discovery, and intelligent information processing, to relations between rough sets and other approaches to uncertainty, vagueness, and incompleteness, such as fuzzy sets . Reasoning with Rough Sets and Paraconsistent Rough Sets Aida Vitoria´ Transactions on Rough Sets VI, J. F. Peters et al. (eds.), pages , LNCS , Springer, Małuszynski J., Vit´ oria A.. Towards Rough Datalog: Embedding Rough Sets in Pro-´. Rough sets: Introduction The main goal of the rough set analysis is induction of (learning) approximations of concepts. Rough sets constitutes a sound basis for KDD. It offers mathematical tools to discover patterns hidden in data. It can be used for feature selection, feature extraction, dataFile Size: KB.
This book is dedicated to the monumental life, work and creative genius of Zdzislaw Pawlak, the originator of rough sets, who passed away in April It opens with a commemorative article that gives a brief coverage of Pawlak's works in rough set theory, molecular computing, philosophy, painting and . Research Interests Rough Set Theory: Logics, Algebras and Applications Modal Logics Transactions on Rough Sets VI, LNCS , Chakraborty, M.K. and Banerjee, M. (): Rough dialogue and implication lattices. Invited Book Chapters. Quantitative dominance-based neighborhood rough sets via fuzzy preference relations Abstract: Dominance relations exist extensively in decision making problems. Dominance-based neighborhood rough sets using fuzzy preference relations are presented in this paper to deal with attribute reduction in the large-scale decision making : Shuyun Yang, Hongying Zhang. The National Institute of Telecommunications Transactions on Rough Sets VI, Commemorating the Life and Work of Zdzislaw Pawlak, Part I discrete dualitiy theorems for some general lattices.