Intergration of information based on the similarity in AHP

Citations of this article
Mendeley users who have this article in their library.


In this paper, we proposed the novel integration method for AHP based on multidimensional scaling analysis which enable us to know the multidimensional stretch of the data. Conventional method considers consistency of them in one-dimention. Multidimensionally suitable weights for the data integration are calculated by the similarity matrix derived from the pairwise comparison matrix. We presents several experimental results to compare the characteristic features of the method and research confirming the efficacy. © 2013 The Authors.

Author supplied keywords




Notsu, A., Kawakami, H., Tezuka, Y., & Honda, K. (2013). Intergration of information based on the similarity in AHP. In Procedia Computer Science (Vol. 22, pp. 1011–1020). Elsevier B.V.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free