Application of M-polar Fuzzy Set Algorithm for Nontraditional Machining Process Selection
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-94252-6_16
Reference15 articles.
1. Akram, M., Adeel A., Alcantud, J. C. R. (2019). Multi-criteria group decision-making using an m-polar hesitant fuzzy TOPSIS approach. Symmetry, 11(6), 795.
2. Akram, M., Ali, G., & Alshehri, N. O. (2017). A new multi-attribute decision-making method based on m-polar fuzzy soft rough sets. Symmetry, 9(11), 271.
3. Chakraborty, S., & Dey, S. (2006). Design of an analytic-hierarchy-process-based expert system for non-traditional machining process selection. International Journal of Advanced Manufacturing Technology, 31(5–6), 490–500.
4. Chakraborty, S., & Dey, S. (2007). QFD-based expert system for non-traditional machining processes selection. Expert Systems with Applications, 32(4), 1208–1217.
5. Chen, J., Li, S., Ma, S., & Wang, X., 2014. m–polar fuzzy sets: an extension of bipolar fuzzy sets. The Scientific World Journal, 416530, 8
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