The new extension of TOPSIS method for multiple criteria decision making with hesitant Pythagorean fuzzy sets

By Decui Liang, Zeshui Xu. Applied Soft Computing, 2017

310 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Management, Monitoring, Policy and Law, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/a4be864964d43c8f63ad8fd7c6c233d4f08d307f

How researchers see this paper

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

In Computational Theory and Mathematics

1. Ganeshsree Selvachandran
2. Suleyman Mete
3. Xindong Peng

In Management, Monitoring, Policy and Law

1. Suleyman Mete
2. Ganeshsree Selvachandran
3. Xindong Peng

In Management Science and Operations Research

1. Ganeshsree Selvachandran
2. Suleyman Mete
3. Xindong Peng
4. Yong Yang
5. Huiyong Yuan

Citations in the corpus

• Pythagorean fuzzy set: state of the art and future directions (2017, background): “(2017b) PFS MADM 2017 Liang and Xu (2017) HPFS MADM 2017 Wei and Lu (2017) PFS MADM 2017 Zhang (2017) PFS and IVPFS Clustering analysis”
• Assessing occupational risks in pipeline construction using FMEA-based AHP-MOORA integrated approach under Pythagorean fuzzy environment (2019, methodology): “Since Pythagorean fuzzy sets first emerged, several studies have been performed on multicriteria decision-making (MCDM) problem using Pythagorean fuzzy set (Zeng et al. 2016; Zhang and Xu 2014; Yang et al. 2016; Liang and Xu 2017; Zhang 2016; Peng and Yang 2016; Ren et al. 2016).”