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Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions

  • Fawaz Alsolami
  • Mohammad Azad
  • Igor Chikalov
  • Mikhail Moshkov
Book

Part of the Intelligent Systems Reference Library book series (ISRL, volume 156)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Fawaz Alsolami, Mohammad Azad, Igor Chikalov, Mikhail Moshkov
    Pages 1-14
  3. Explaining Examples and Preliminary Results

    1. Front Matter
      Pages 15-15
    2. Fawaz Alsolami, Mohammad Azad, Igor Chikalov, Mikhail Moshkov
      Pages 17-36
    3. Fawaz Alsolami, Mohammad Azad, Igor Chikalov, Mikhail Moshkov
      Pages 37-44
    4. Fawaz Alsolami, Mohammad Azad, Igor Chikalov, Mikhail Moshkov
      Pages 45-73
  4. Extensions of Dynamic Programming for Decision and Inhibitory Trees

    1. Front Matter
      Pages 75-76
    2. Fawaz Alsolami, Mohammad Azad, Igor Chikalov, Mikhail Moshkov
      Pages 77-90
    3. Fawaz Alsolami, Mohammad Azad, Igor Chikalov, Mikhail Moshkov
      Pages 91-103
    4. Fawaz Alsolami, Mohammad Azad, Igor Chikalov, Mikhail Moshkov
      Pages 105-119
    5. Fawaz Alsolami, Mohammad Azad, Igor Chikalov, Mikhail Moshkov
      Pages 121-139
    6. Fawaz Alsolami, Mohammad Azad, Igor Chikalov, Mikhail Moshkov
      Pages 141-151
    7. Fawaz Alsolami, Mohammad Azad, Igor Chikalov, Mikhail Moshkov
      Pages 153-174
  5. Extensions of Dynamic Programming for Decision and Inhibitory Rules and Systems of Rules

    1. Front Matter
      Pages 175-175
    2. Fawaz Alsolami, Mohammad Azad, Igor Chikalov, Mikhail Moshkov
      Pages 177-184
    3. Fawaz Alsolami, Mohammad Azad, Igor Chikalov, Mikhail Moshkov
      Pages 185-202
    4. Fawaz Alsolami, Mohammad Azad, Igor Chikalov, Mikhail Moshkov
      Pages 203-224
    5. Fawaz Alsolami, Mohammad Azad, Igor Chikalov, Mikhail Moshkov
      Pages 225-241
  6. Study of Decision and Inhibitory Trees and Rule Systems Over Arbitrary Information Systems

    1. Front Matter
      Pages 243-243
    2. Fawaz Alsolami, Mohammad Azad, Igor Chikalov, Mikhail Moshkov
      Pages 245-269
  7. Back Matter
    Pages 271-276

About this book

Introduction

The results presented here (including the assessment of a new tool – inhibitory trees) offer valuable tools for researchers in the areas of data mining, knowledge discovery, and machine learning, especially those whose work involves decision tables with many-valued decisions. The authors consider various examples of problems and corresponding decision tables with many-valued decisions, discuss the difference between decision and inhibitory trees and rules, and develop tools for their analysis and design. Applications include the study of totally optimal (optimal in relation to a number of criteria simultaneously) decision and inhibitory trees and rules; the comparison of greedy heuristics for tree and rule construction as single-criterion and bi-criteria optimization algorithms; and the development of a restricted multi-pruning approach used in classification and knowledge representation.


Keywords

Intelligent Systems Decision Trees Inhibitory Trees Decision Tables Dynamic Programming

Authors and affiliations

  • Fawaz Alsolami
    • 1
  • Mohammad Azad
    • 2
  • Igor Chikalov
    • 3
  • Mikhail Moshkov
    • 4
  1. 1.Computer, Electrical and Mathematical Sciences and Engineering DivisionKing Abdullah University of Science and TechnologyThuwalSaudi Arabia
  2. 2.Computer, Electrical and Mathematical Sciences and Engineering DivisionKing Abdullah University of Science and TechnologyThuwalSaudi Arabia
  3. 3.Computer, Electrical and Mathematical Sciences and Engineering DivisionKing Abdullah University of Science and TechnologyThuwalSaudi Arabia
  4. 4.Computer, Electrical and Mathematical Sciences and Engineering DivisionKing Abdullah University of Science and TechnologyThuwalSaudi Arabia

Bibliographic information