Interval Weight Estimation Methods Satisfying Desirable Properties in Interval AHP

Author:

Inuiguchi Masahiro

Publisher

Springer International Publishing

Reference11 articles.

1. Greco, S., Ehrgott, M., Figueira, J.R. (eds.): Multiple Criteria Decision Analysis: State of the Art Surveys, vol. 2, 2nd edn. Springer, New York (2016)

2. Inuiguchi, M.: Non-uniqueness of interval weight vector to consistent interval pairwise comparison matrix and logarithmic estimation methods. In: Huynh, V.-N., et al. (eds.) Integrated Uncertainty in Knowledge Modelling and Decision Making: 5th International Symposium, IUKM 2016. LNAI, vol. 9978, pp. 39–50 (2016)

3. Inuiguchi, M., Innan, S.: Comparison among several parameter-free interval weight estimation methods from a crisp pairwise comparison matrix. In: CD-Proceedings of 14th MDAI, pp. 61–76 (2017)

4. Saaty, T.L.: The Analytic Hierarchy Process. McGraw-Hill, New York (1980)

5. Saaty, T.L., Vargas, C.G.: Comparison of eigenvalue, logarithmic least squares and least squares methods in estimating ratios. Math. Model. 5(5), 309–324 (1984)

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