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.
Publication Year: 2018
Publication Date: 2018-01-01
Language: en
Type: book-chapter
Indexed In: ['crossref']
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Cited By Count: 2
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