
Deriving Priorities from Incomplete Fuzzy Reciprocal Preference Relations
theories and methodologies
$535.14
- Hardcover
174 pages
- Release Date
19 June 2023
Summary
Unlocking Priorities: A Guide to Incomplete Fuzzy Reciprocal Preference Relations
As we know, multiplicative preference relations (or called pairwise comparisons in AHP) were proposed by Dr. Thomas L Saaty. One important work is to derive its priority from pairwise comparisons. It has been proposed many methods to derive priority for multiplicative preference relation. On the basis of fuzzy sets, the fuzzy reciprocal preference relation is proposed and is extended to the incomplete …
Book Details
ISBN-13: | 9789819931682 |
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ISBN-10: | 9819931681 |
Author: | Yejun Xu |
Publisher: | Springer Verlag, Singapore |
Imprint: | Springer Verlag, Singapore |
Format: | Hardcover |
Number of Pages: | 174 |
Edition: | 2023rd |
Release Date: | 19 June 2023 |
Weight: | 453g |
Dimensions: | 235mm x 155mm |
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What They're Saying
Critics Review
“This book develops forms of deriving priority weights with additive or multiplicative consistency from the elements of a fuzzy reciprocal preference relation or from an incomplete fuzzy reciprocal preference relation, in individual and group decision problems. … An approach to derive priority vectors from fuzzy best-worst matrices is developed. Rules to derive a fuzzy reciprocal preference relation from an incomplete fuzzy reciprocal preference relation are presented. Illustrative examples are provided for each situation.” (Annibal Parracho Sant’Anna, zbMATH 1537.91003, 2024)
About The Author
Yejun Xu
Yejun XU is currently a professor in the College of Management and Economics, Tianjin University, Tianjin China. He received his MS in 2005 and PhD in 2009 both in Management Science and Engineering from Southeast University, China.
He has authored and coauthored more than 120 articles in professional journals, such as European Journal of Operational Research, IEEE Transactions on Cybernetics, IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Transactions on Fuzzy Systems, Fuzzy Sets and Systems, Information Sciences, International Journal of Approximate Reasoning, Knowledge-Based Systems, etc. His research interests include group decision-making under uncertainty.
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