This book provides in-depth coverage of the most important results about fuzzy logic including negations, conjunctions, disjunctions, implications and gives the interrelations between those different connectives. The work brings together multiple results about valued binary relations satisfying dive
Fuzzy Preference Modelling and Multicriteria Decision Support
β Scribed by J.C. Fodor, M.R. Roubens
- Publisher
- Springer
- Year
- 1994
- Tongue
- English
- Leaves
- 265
- Series
- Theory and Decision Library D:
- Edition
- 1995
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book provides in-depth coverage of the most important results about fuzzy logic including negations, conjunctions, disjunctions, implications and gives the interrelations between those different connectives. The work brings together multiple results about valued binary relations satisfying diverse transitivity-type conditions.
The authors propose the first sound introduction to valued preference modelling through the systematic use of fuzzy set theory and functional equations and derive the possible foundations for multicriteria decision aid using aggregation, ranking and choice procedures on the basis of axiomatic results. The text presents a unified view of various multicriteria decision making tools that have been independently derived in the past, dealing with pairwise comparisons. The monograph is mathematically oriented but the results will be of the greatest interest for engineers and economists who design and implement decision support systems in practice. It is also supplied with a sufficient number of examples to make it attractive to nonspecialists. <br/>
β¦ Table of Contents
Cover......Page 1
SYSTEM THEORY, KNOWLEDGE ENGINEERING AND PROBLEM SOLVING, VOLUME 14......Page 3
FUZZY PREFERENCE MODELLING AND MULTICRITERIADECISION SUPPORT......Page 4
Β©......Page 5
Contents......Page 8
Foreword......Page 12
Introduction......Page 14
1 Fuzzy logical connectives......Page 16
2 Valued binary relations......Page 52
3 Valued preferencemodeHing......Page 85
4 Similarity relations and valued orders......Page 99
5 Aggregation Operations......Page 120
6 Ranking procedures......Page 161
7 Multiple criteria decision making......Page 186
8 Summary, perspectives and open problems......Page 239
References......Page 249
Index......Page 262
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