<p>This book is intended as a guide to and manual on modeling complex problems in Multi Criteria Decision Making (MCDM). It encourages practitioners to consider the practicalities of real-world scenarios when modeling, while at the same time providing tips and examples of how to incorporate these re
Resolution Methods for the Decision Problem
β Scribed by C. FermΓΌller, A. Leitsch, T. Tammet, N. Zamov (eds.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 1993
- Tongue
- English
- Leaves
- 213
- Series
- Lecture Notes in Computer Science 679 : Lecture Notes in Artificial Intelligence
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This volume contains work on the decision problem done in Kazan (Russia), Tallinn (Estonia), and Vienna (Austria). The authors met several times to discuss and exchange their results and finally decided to write this monograph together. Besides a unified treatment of previously published results there are many new results first presented in this volume. The monograph opens with an introduction and a chapter on terminology, followed by chapters on: - Semantic clash resolution as decision procedure, - Completeness of ordering refinements, - Semantic tree based resolution variants, - Deciding the class K by an ordering refinement, - A resolution based method for building finite models. A final chapter on applications completes the volume.
β¦ Table of Contents
Introduction....Pages 1-5
Terminology....Pages 6-16
Semantic clash resolution as decision procedure....Pages 17-59
Completeness of ordering refinements....Pages 60-92
Semantic tree based resolution variants....Pages 93-129
Deciding the class K by an ordering refinement....Pages 130-150
A resolution based method for building finite models....Pages 151-179
Applications....Pages 180-197
β¦ Subjects
Artificial Intelligence (incl. Robotics); Mathematical Logic and Formal Languages; Mathematical Logic and Foundations
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