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Wang, Y.M., Yang, J.B. and Xu, D.L. (2005) A two-stage logarithmic goal programming method for generating weights from interval comparison matrices. Fuzzy Sets and Systems, 152, 475-498. doi:10.1016/j.fss.2004.10.020

has been cited by the following article:

• TITLE: On consistency and ranking of alternatives in uncertain AHP

  AUTHORS: Liang Lin, Chao Wang

  KEYWORDS: Uncertainty Theory; Uncertain Variable Method; Analytic Hierarchy Process; Consistency Test; Bounds Modification

  JOURNAL NAME: Natural Science, Vol.4 No.5, May 18, 2012

  ABSTRACT: This paper introduces uncertainty theory to deal with non-deterministic factors in ranking alternatives. The uncertain variable method (UVM) and the definition of consistency for uncertainty comparison matrices are proposed. A simple yet pragmatic approach for testing whether or not an uncertainty comparison matrix is consistent is put forward. In cases where an uncertainty comparison matrix is inconsistent, an algorithm is used to generate consistent matrix. And then the consistent uncertainty comparison matrix can derive the uncertainty weights. The final ranking is given by uncertainty weighs if they are acceptable; otherwise we rely on the ranks of expected values of uncertainty weights instead. Three numerical examples including a hierarchical (AHP) decision problem are examined to illustrate the validity and practicality of the proposed methods.