Deriving Priorities from Incomplete Fuzzy Reciprocal Preference Relations: Theories and Methodologies

Author:   Yejun Xu
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2023
ISBN:  

9789819931682


Pages:   174
Publication Date:   20 June 2023
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Deriving Priorities from Incomplete Fuzzy Reciprocal Preference Relations: Theories and Methodologies


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Author:   Yejun Xu
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2023
Weight:   0.453kg
ISBN:  

9789819931682


ISBN 10:   9819931681
Pages:   174
Publication Date:   20 June 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Chapter 1. Introduction.- Chapter 2. Normalizing Rank Aggregation-based Method.- Chapter 3. Eigenvector Method.- Chapter 4. Logarithmic Least Squares Method.- Chapter 5. A Chi-Square Method.- Chapter 6. A Least Deviation Method.- Chapter 7. Priorities from Fuzzy Best Worst Method Matrix.- Chapter 8. Weighted Least Square Method.- Chapter 9. Priorities from Incomplete Hesitant Fuzzy Reciprocal Preference Relations.

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Author Information

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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