Abstract
This chapter is concerned with large-dimensional pairwise comparison problems and answers the following research question: “How can the amount of preference information required from the decision maker in a large-dimensional pairwise comparison matrix be reduced while still obtaining comparable priorities of objects?” The chapter reviews a real-life case-study motivating the need for methods dealing with large-dimensional pairwise comparison problems and discusses desirable properties of methods for constructing an incomplete pairwise comparison matrix and deriving priorities of objects. A two-phase method ensuring the desirable properties is introduced in detail, and its application to a real-life case study is described. The excellent performance of the method in terms of saving a large number of pairwise comparisons required from the decision maker and obtaining comparable priorities of objects is supported by simulations. In addition, the method is critically compared with another well-known method for constructing incomplete pairwise comparison matrices.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Cardinality |s| of the set s is the number of its elements; e.g. \(|\left\{ 2,4,5\right\} |=3\).
- 2.
Floor \(\lfloor x\rfloor \) of \(x\in \mathbb {R}\) is the largest integer lower or equal to x; e.g., \(\lfloor 5.7\rfloor =5\).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this chapter
Cite this chapter
Krejčí, J. (2018). Incomplete Large-Dimensional Pairwise Comparison Matrices. In: Pairwise Comparison Matrices and their Fuzzy Extension. Studies in Fuzziness and Soft Computing, vol 366. Springer, Cham. https://doi.org/10.1007/978-3-319-77715-3_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-77715-3_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-77714-6
Online ISBN: 978-3-319-77715-3
eBook Packages: EngineeringEngineering (R0)