Transactions on Rough Sets IV

1. Front Matter

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2. Regular Papers

   1. A Treatise on Rough Sets

      • Zdzisław Pawlak

      Pages 1-17

   2. On Optimization of Decision Trees

      • Igor V. Chikalov, Mikhail Ju. Moshkov, Maria S. Zelentsova

      Pages 18-36

   3. Dealing with Missing Data: Algorithms Based on Fuzzy Set and Rough Set Theories

      • Dan Li, Jitender Deogun, William Spaulding, Bill Shuart

      Pages 37-57

   4. Characteristic Relations for Incomplete Data: A Generalization of the Indiscernibility Relation

      • Jerzy W. Grzymala-Busse

      Pages 58-68

   5. Supervised Learning in the Gene Ontology Part I: A Rough Set Framework

      • Herman Midelfart

      Pages 69-97

   6. Supervised Learning in the Gene Ontology Part II: A Bottom-Up Algorithm

      • Herman Midelfart

      Pages 98-124

   7. Comparative Analysis of Deterministic and Nondeterministic Decision Tree Complexity Local Approach

      • Mikhail Ju. Moshkov

      Pages 125-143

   8. A Fast Host-Based Intrusion Detection System Using Rough Set Theory

      • Sanjay Rawat, V. P. Gulati, Arun K. Pujari

      Pages 144-161

   9. Incremental Learning and Evaluation of Structures of Rough Decision Tables

      • Wojciech Ziarko

      Pages 162-177

3. Dissertations and Monographs

   1. A Framework for Reasoning with Rough Sets

      • Aida Vitória

      Pages 178-276

   2. Analogy-Based Reasoning in Classifier Construction

      • Arkadiusz Wojna

      Pages 277-374

4. Back Matter

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Volume IV of the Transactions on Rough Sets (TRS) introduces a number of new advances in the theory and application of rough sets. Rough sets and - proximationspaceswereintroducedmorethan30yearsagobyZdzis lawPawlak. These advances have profound implications in a number of research areas such as the foundations of rough sets, approximate reasoning, arti?cial intelligence, bioinformatics,computationalintelligence, cognitivescience, intelligentsystems, datamining,machineintelligence,andsecurity. Inaddition,itisevidentfromthe papers included in this volume that the foundations and applications of rough sets is a very active research area worldwide. A total of 16 researchers from 7 countries are represented in this volume, namely, Canada, India, Norway, S- den, Poland, Russia and the United States of America. Evidence of the vigor, breadth and depth of research in the theory and applications of rough sets can be found in the 10 articles in this volume. Prof. Pawlak has contributed a treatise on the philosophical underpinnings of rough sets. In this treatise, observations are made about the Cantor notion of a set, antinomies arising from Cantor sets, the problem of vagueness (es- cially, vague (imprecise) concepts), fuzzy sets, rough sets, fuzzy vs. rough sets as well as logic and rough sets. Among the many vistas and research directions suggested by Prof. Pawlak, one of the most fruitful concerns the model for a rough membership function, which was incarnated in many di?erent forms since its introduction by Pawlakand Skowronin 1994. Recall, here, that Prof.

• complexity
• data mining
• fuzzy
• information system
• knowledge
• knowledge discovery
• learning
• logic
• ontology
• optimization
• uncertainty

• Department of Electrical and Computer Engineering, University of Manitoba, Winnipeg, Manitoba, Canada

  James F. Peters

• Institute of Mathematics, Warsaw University, Warsaw, Poland

  Andrzej Skowron

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