Knowledge Representation Techniques

A Rough Set Approach

ISBN: 978-3-540-33518-4 (Print) 978-3-540-33519-1 (Online)

Table of contents (15 chapters)

  1. Introduction and Preliminaries

    1. Front Matter

      Pages I-VI

    2. No Access

      Book Chapter

      Pages 3-16

      Introduction

    3. No Access

      Book Chapter

      Pages 17-38

      Basic Notions

    4. No Access

      Book Chapter

      Pages 39-56

      Rough Sets

    5. No Access

      Book Chapter

      Pages 57-76

      Relational and Deductive Databases

    6. No Access

      Book Chapter

      Pages 77-99

      Non-Monotonic Reasoning

  2. From Relations to Knowledge Representation

    1. Front Matter

      Pages I-VI

    2. No Access

      Book Chapter

      Pages 103-127

      Rough Knowledge Databases

    3. No Access

      Book Chapter

      Pages 129-142

      Combining Rough and Crisp Knowledge

    4. No Access

      Book Chapter

      Pages 143-158

      Weakest Sufficient and Strongest Necessary Conditions

    5. No Access

      Book Chapter

      Pages 159-179

      CAKE: Computer Aided Knowledge Engineering

    6. No Access

      Book Chapter

      Pages 181-212

      Formalization of Default Logic Using CAKE

    7. No Access

      Book Chapter

      Pages 213-226

      A UAV Scenario: A Case Study

  3. From Sensors to Relations

    1. Front Matter

      Pages I-VI

    2. No Access

      Book Chapter

      Pages 229-243

      Information Granules

    3. No Access

      Book Chapter

      Pages 245-276

      Tolerance Spaces

    4. No Access

      Book Chapter

      Pages 277-309

      A Rough Set Approach to Machine Learning

    5. No Access

      Book Chapter

      Pages 311-320

      UAV Learning Process: A Case Study