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A new method for deriving priority weights by extracting consistent numerical-valued matrices from interval-valued fuzzy judgement matrix

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Zhang, Feng, Ignatius, Joshua, Lim, Chee Peng and Zhao, Yajun (2014) A new method for deriving priority weights by extracting consistent numerical-valued matrices from interval-valued fuzzy judgement matrix. Information Sciences, 279 . pp. 280-300. doi:10.1016/j.ins.2014.03.120

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Official URL: https://doi.org/10.1016/j.ins.2014.03.120

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Abstract

It is important to derive priority weights from interval-valued fuzzy preferences when a pairwise comparative mechanism is used. By focusing on the significance of consistency in the pairwise comparison matrix, two numerical-valued consistent comparison matrices are extracted from an interval fuzzy judgement matrix. Both consistent matrices are derived by solving the linear or nonlinear programming models with the aid of assessments from Decision Makers (DMs). An interval priority weight vector from the extracted consistent matrices is generated. In order to retain more information hidden in the intervals, a new probability-based method for comparison of the interval priority weights is introduced. An algorithm for deriving the final priority interval weights for both consistent and inconsistent interval matrices is proposed. The algorithm is also generalized to handle the pairwise comparison matrix with fuzzy numbers. The comparative results from the five examples reveal that the proposed method, as compared with eight existing methods, exhibits a smaller degree of uncertainty pertaining to the priority weights, and is also more reliable based on the similarity measure.

Item Type: Journal Article
Divisions: Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)
Journal or Publication Title: Information Sciences
Publisher: Elsevier
Official Date: 2014
Dates:
DateEvent
2014Published
Volume: 279
Page Range: pp. 280-300
DOI: 10.1016/j.ins.2014.03.120
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

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