Rough sets, decision algorithms and Bayes' theorem

By Zdzislaw Pawlak. European Journal of Operational Research, 2002

299 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Information Systems, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/55bfcb0592d07ea40d5c9facf5c80943c0944255

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Y. Qian
2. Qinghua Hu
3. Daren Yu
4. Jiye Liang
5. Yiyu Yao
6. Chuangyin Dang
7. Zongxia Xie
8. Jinfu Liu

In Information Systems

1. Dominik Lzak
2. Georg Peters
3. Pawan Lingras
4. Jinfu Liu
5. Qinghua Hu
6. Daren Yu
7. Y. Qian
8. Yiyu Yao

In Management Science and Operations Research

1. Y. Qian
2. Chuangyin Dang
3. Jiye Liang
4. Yiyu Yao
5. Qinghua Hu
6. Daren Yu
7. Zongxia Xie
8. Dominik Lzak

Citations in the corpus

• Defining information systems as work systems: implications for the IS field (2008, unknown): “Pawlak (2002) “An information system is a data Rybnik (1992, p. 182) “An information system is a pair A = (U, A), where U - is a nonempty, finite set called the universe and A - is a nonempty, finite set of attributes.””
• Fuzzy probabilistic approximation spaces and their information measures (2006, methodology): “Pawlak’s model just works in nominal data domain, for crisp equivalence relations and equivalence classes are the foundation of the model [ 8 ], [37].”
• Three-way decisions with probabilistic rough sets (2010, background): “Thus, Pawlak [16] referred to them, respectively, as certain decision rules and uncertain decision rules .”
• Incomplete Multigranulation Rough Set (2010, methodology): “Rough-set methodology presents a novel paradigm to deal with uncertainty and has been applied to feature selection [18], [48], [49], knowledge reduction [9], [16], [51], rule extraction [1], [8], [35], [50], [59], uncertainty reasoning [20], [25], [31], decision evaluation [36]–[38], and granular co”
• Rough Sets: Selected Methods and Applications in Management and Engineering (2012, methodology): “Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com) Preface Rough Set Theory was introduced by Pawlak in the early 1980’s.”
• Three-Way Decision: An Interpretation of Rules in Rough Set Theory (2009, background): “Thus, Pawlak [7] referred to them, respectively, as “certain decision rules” and “uncertain decision rules.”