Applying fuzzy linguistic preference relations to the improvement of consistency of fuzzy AHP

By Tien-Chin Wang, Yueh-Hsiang Chen. Information Sciences, 2008

326 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Management, Monitoring, Policy and Law, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/8df147062a75399816220269e088ca6824bf6b34

How researchers see this paper

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

In Control and Systems Engineering

1. Xiu-li Du
2. Kok-Kwang Phoon
3. Yong Deng
4. Sankaran Mahadevan
5. Xinyang Deng
6. Fengwei Li
7. Ming-ju Zhang
8. Chia-chi Sun

In Management, Monitoring, Policy and Law

1. Kok-Kwang Phoon
2. Sankaran Mahadevan
3. Chia-chi Sun

In Management Science and Operations Research

1. Yong Deng
2. Yong Hu
3. Xiu-li Du
4. Kok-Kwang Phoon
5. Sankaran Mahadevan
6. Xinyang Deng
7. Fengwei Li
8. Ming-ju Zhang

Citations in the corpus

• Supplier selection using AHP methodology extended by D numbers (2014, background): “However, the inconsistency of the fuzzy evaluation comparison matrix is still an open issue (Leung & Cao, 2000; Wang & Chen, 2008).”
• Comparison of Fuzzy-AHP and AHP in a spatial multi-criteria decision making model for urban land-use planning (2015, background): “The popular AHP-based land-use suitability analyses have been criticized for their need for exact numerical values to express the strength of stakeholders’ preferences (Deng, 1999; Mikhailov, 2003; Chang et al., 2008;Wang & Chen, 2008; Kordi & Brandt 2012; Mosadeghi et al., 2012).”
• A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods (2010, background): “Wang and Chen (2008) applied fuzzy linguistic preference relations to construct a pairwise comparison matrix with additive reciprocal property and consistency.”
• A fuzzy approach to construction project risk assessment (2011, background): “…of studies about the inconsistency of fuzzy preference relations (Dong et al., 2008; Ghazanfari and Nojavan, 2004; M Herrera-Viedma et al. 2004; Ma et al, 2006; Wang and Chen, 2008), none of the proposed fuzzy risk assessment methodologies take into account the inconsistency of the judgements.”
• Improved AHP Method and Its Application in Risk Identification (2013, background): “Wang and Chen (2008) apply fuzzy linguistic preference relations to construct a pairwise comparison matrix with additive reciprocal property and consistency.”