Multicriteria Pythagorean fuzzy decision analysis: A hierarchical QUALIFLEX approach with the closeness index-based ranking methods

By Xiaolu Zhang. Information Sciences, 2016

434 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/b9fbc9f5b5154ab5a9293fd32bc95522b8287299

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. Peng Wang
2. Ganeshsree Selvachandran
3. Peide Liu
4. Xindong Peng
5. Raj Mishra Arunodaya
6. Harish Garg
7. Yong Yang
8. Suleyman Mete

In Management, Monitoring, Policy and Law

1. Ganeshsree Selvachandran
2. Peide Liu
3. Peng Wang
4. Xindong Peng
5. Suleyman Mete

In Management Science and Operations Research

1. Peng Wang
2. Ganeshsree Selvachandran
3. Peide Liu
4. Xindong Peng
5. Raj Mishra Arunodaya
6. Harish Garg
7. Yong Yang
8. Suleyman Mete

Citations in the corpus

• Pythagorean fuzzy set: state of the art and future directions (2017, background): “For convenience,Zhang (2016a) andPengandYang (2016a) called p̃ = ([μ−p̃ , μ+p̃ ], [ν−p̃ , ν+p̃ ]) an interval-valued Pythagorean fuzzy number (IVPFN).”
• Multiple-Attribute Decision-Making Based on Archimedean Bonferroni Operators of q-Rung Orthopair Fuzzy Numbers (2019, methodology): “Zhang [47] presented a new closeness index-based ranking method based on PFNs to manage heterogeneous information.”