The geometric consistency index: Approximated thresholds

By J. Aguarón, J. Moreno‐Jiménez. European Journal of Operational Research, 2003

589 citations recorded by the source corpus.

Subfields: Artificial Intelligence, General Decision Sciences, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/49e11df94ef90dfc5fa0c329e697cd96d5d52052

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Yucheng Dong
2. Ashraf Labib
3. Matteo Brunelli
4. Wei‐Chiang Hong
5. Guiqing Zhang
6. Alessio Ishizaka
7. Yinfeng Xu
8. Gang Kou

In General Decision Sciences

1. Ashraf Labib
2. Matteo Brunelli
3. Alessio Ishizaka
4. Gang Kou
5. Changsheng Lin

In Management Science and Operations Research

1. Yucheng Dong
2. Alessio Ishizaka
3. Matteo Brunelli
4. Ashraf Labib
5. Gang Kou
6. Wei‐Chiang Hong
7. Guiqing Zhang
8. Yinfeng Xu

Citations in the corpus

• A cosine maximization method for the priority vector derivation in AHP (2014, methodology): “Peláez and Lamata (2003) described a consistency measure method based on the determinant of a PCM; Aguarón and Moreno-Jiménez (2003) proposed the geometric consistency index (GCI) and provided the approximated thresholds associated with it; Alonso and Lamata (2006) proposed a transformation formulat”
• Consensus models for AHP group decision making under row geometric mean prioritization method (2010, background): “The consistency problem is also a critical step in AHP group decision making [2,8,19,21,24,33,34,38,43,45].”
• Review of the main developments in the analytic hierarchy process (2011, methodology): “…0.58 0.9 1.12 1.24 1.32 1.41 1.45 1.49 Table 3: Random indices from (T. Saaty, 1977) Other researchers have run simulations with different numbers of matrices (Aguarón & Moreno-Jiménez, 2003; Alonso & Lamata, 2006; Lane & Verdini, 1989; Tummala & Wan, 1994) or incomplete matrices (E. Forman, 1990).”
• Analytic Hierarchy Process and Expert Choice: Benefits and limitations (2009, background): “…hand and has been supported by a large segment of the AHP community (Budescu, 1984; Fichtner, 1986; Lootsma, 1993, 1996; Barzilai, 1997; Barzilai and Lootsma, 1997; Aguaro´n and Moreno-Jime´nez, 2000; Escobar and Moreno-Jime´nez, 2000; Aguaro´n and Moreno-Jime´nez, 2003; Leskinen and Kangas, 2005).”
• Introduction to the Analytic Hierarchy Process (2014, methodology): “This index was introduced by Crawford [42] and reexamined by Aguarón and MorenoJiménez [2].”
• CLUSTERS AND PIVOTS FOR EVALUATING A LARGE NUMBER OF ALTERNATIVES IN AHP (2012, background): “A pairwise matrix is called consistent if the transitivity (1) and the reciprocity (2) rules are respected: ai, j = ai,k ∙ ak, j (1) ai, j = 1/a j,i (2)”