A Method of Converting Z-number to Classical Fuzzy Number

By Bingyi Kang, Daijun Wei, Ya Li, Yong Deng. 2012

330 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/953cfbf773faff8b5e26cbaa6cef05d6de8e6def

How researchers see this paper

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

1. Bingyi Kang
2. Yong Hu
3. Hamed Aboutorab
4. Yong Deng
5. Deyun Zhou
6. Morteza Saberi
7. Mehdi Rajabi Asadabadi
8. Omar Khadeer Hussain

Citations in the corpus

• A New Methodology of Multicriteria Decision-Making in Supplier Selection Based on -Numbers (2016, methodology): “The Proposed Methodology for Supplier Selection Using Z-Numbers In the following subsection, a method of changing a Znumber to a classic fuzzy number is used [57] according to the fuzzy expectation.”
• ZBWM: The Z-number extension of Best Worst Method and its application for supplier development (2018, methodology): “Considering the importance of information accuracy in the domain of MCDM methods (Yaakob and Gegov, 2016), further studies are required to examine the capabilities of Z-numbers when applied in combination with MCDM methods (Kang et al., 2012a).”