## Transactions on Rough Sets VI: Commemorating Life and Work of Zdislaw Pawlak, Volume 6James F. Peters, Ivo Düntsch, Jerzy Grzymala-Busse, Ewa Orlowska, Lech Polkowski Springer Science & Business Media, 2007 - 498 pages Volume VI of theTransactions on Rough Sets (TRS) commemoratesthe life and 1 work of Zdzis law Pawlak (1926-2006) . His legacy is rich and varied. Professor Pawlak's research contributions have had far-reaching implications inasmuch as his worksarefundamental in establishing newperspectives for scienti'c research in a wide spectrum of ?elds. From a very early age, Zdzis law Pawlakdevoted his life to scienti'c research. The pioneering work by Prof. Pawlak included research on the design of c- puters, information retrieval, modeling con'ict analysis and negotiation, genetic grammars, and molecular computing. His research led to the introduction of knowledge representation systems during the early 1970s and the discovery of rough sets during the early 1980s. Added to that was Prof. Pawlak's lifelong interest in painting, photography, and poetry. During his lifetime, he nurtured worldwide interest in approximation,approximate reasoning, and rough set the- 2 ory and its applications . Evidence of the in'uence of Prof. Pawlak's work can be seen in the growth in the rough-set literature that now includes over 4000 3 publications by more than 1600 authors in the rough set database as well as 4 the growth and maturity of the International Rough Set Society. Numerous 5 biographies of Zdzis law Pawlak have been published . This volume of the TRS presents papers that re'ect the profound in'uence of a number of research initiatives by Zdzis law Pawlak. |

### What people are saying - Write a review

We haven't found any reviews in the usual places.

### Contents

Propositional Logics from Rough Set Theory | 1 |

Intuitionistic Rough Sets for Database Applications | 26 |

An Experimental Comparison of Three Rough Set Approaches to Missing Attribute Values | 31 |

Pawlaks Landscaping with Rough Sets | 51 |

A Comparison of Pawlaks and SkowronStepaniuks Approximation of Concepts | 64 |

Data Preparation for Data Mining in Medical Data Sets | 83 |

A Wistech Paradigm for Intelligent Systems | 94 |

The Domain of Acoustics Seen from the Rough Sets Perspective | 133 |

On Partial Covers Reducts and Decision Rules with Weights | 211 |

A Personal View on AI Rough Set Theory and Professor Pawlak | 247 |

A Proposition on How to Learn Concepts in Humane Sciences by Means of Rough Set Theory | 298 |

Discovering Association Rules in Incomplete Transactional Databases | 308 |

On Combined Classifiers Rule Induction and Rough Sets | 329 |

Approximation Spaces in Multi Relational Knowledge Discovery | 351 |

A Distributed Computing Hybrid Data Mining Strategy | 366 |

A Model PM for Preprocessing and Data Mining Proper Process | 397 |

Extension and a Case Study | 152 |

In Commemoration of Professor Zdzislaw Pawlak | 172 |

On Representation and Analysis of Crispand Fuzzy Information Systems | 191 |

Author Index | 499 |

### Other editions - View all

### Common terms and phrases

Alexandrov Alexandrov topology algebra applied approach approximation mappings approximation spaces association rules binary relation Boolean lattice classiﬁers closure operator complete join-morphism complete lattice Computer Science concept condition attributes consider constructed DARIT Data Mining data set database decision attribute decision rules decision table deﬁned deﬁnition diﬀerent domain eﬀects elements equivalence relation evaluation example ﬁeld ﬁnd ﬁnite ﬁrst fixpoint fuzzy rough fuzzy set Galois connection Granular Computing greedy algorithm Hence implies included incomplete indiscernibility relation induced information granules information system intuitionistic itemset Knowledge Discovery learning Lemma Let us denote logic lower approximation minimal missing attribute values MODLEM noise objects obtained ordered set P-system pair Pawlak Polkowski Proof properties Proposition real numbers reducts reﬂexive rough inclusion rough set theory Section set cover problem Skowron speciﬁc Springer-Verlag structure subset Theorem tion topological Transactions on Rough upper approximation uppS weight function wisdom wistech