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Kou, G., Ergu, D., Chen, Y., & LIN, C. (2016). Pairwise comparison matrix in multiple criteria decision making. Technological and Economic Development of Economy, 22(5), 738–765. 
Added by: Klaus-admin (05 Jun 2019 23:23:12 Asia/Singapore)   Last edited by: Klaus D. Goepel (10 Jun 2019 00:57:42 Asia/Singapore)
Resource type: Journal Article
DOI: 10.3846/20294913.2016.1210694
BibTeX citation key: KOU2016
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Categories: AHP/ANP, Decision Making
Keywords: Analytic Hierarchy Process (AHP), Analytic Network Process (ANP), consistency, incomplete pairwise comparison matrix, missing entry, missing judgment estimation, multi-criteria decision-making, pairwise comparisons, priority derivation, review
Creators: Chen, Ergu, Kou, LIN
Collection: Technological and Economic Development of Economy
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Abstract
The measurement scales, consistency index, inconsistency issues, missing judgment estimation and priority derivation methods have been extensively studied in the pairwise comparison matrix (PCM). Various approaches have been proposed to handle these problems, and made great contributions to the decision making. This paper reviews the literature of the main developments of the PCM. There are plenty of literature related to these issues, thus we mainly focus on the literature published in 37 peer reviewed international journals from 2010 to 2015 (searched via ISI Web of science). We attempt to analyze and classify these literatures so as to find the current hot research topics and research techniques in the PCM, and point out the future directions on the PCM. It is hoped that this paper will provide a comprehensive literature review on PCM, and act as informative summary of the main developments of the PCM for the researchers for their future research.
  
Notes
Literature Review 2010 - 2015
  
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