Normalizing interval data and their use in AHP

구간데이터 정규화와 계층적 분석과정에의 활용

Kim, Eun Young;Ahn, Byeong Seok

  • Received : 2016.06.07
  • Accepted : 2016.06.13
  • Published : 2016.06.30


Entani and Tanaka (2007) presented a new approach for obtaining interval evaluations suitable for handling uncertain data. Above all, their approach is characterized by the normalization of interval data and thus the elimination of redundant bounds. Further, interval global weights in AHP are derived by using such normalized interval data. In this paper, we present a heuristic method for finding extreme points of interval data, which basically extends the method by Entani and Tanaka (2007), and also helps to obtain normalized interval data. In the second part of this paper, we show that the solutions to the linear program for interval global weights can be obtained by a simple inspection. In the meantime, the absolute dominance proposed by the authors is extended to pairwise dominance which makes it possible to identify at least more dominated alternatives under the same information.


Normalization;Interval local and global weights;Interval priority weights;Extreme points;Pairwise dominance


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