Evaluation of medical diagnosis of prostate cancer based on fuzzy TOPSIS–database interaction
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s40314-023-02454-z.pdf
Reference40 articles.
1. Akram M, Arshad M (2020) Bipolar fuzzy TOPSIS and bipolar fuzzy ELECTRE-I methods to diagnosis. Comput Appl Math 39:1–21
2. Akram M, Garg H, Zahid K (2020) Extensions of ELECTRE-I and TOPSIS methods for group decision-making under complex Pythagorean fuzzy environment. Iran J Fuzzy Syst 17(5):147–164
3. Akram M, Kahraman C, Zahid K (2021) Extension of TOPSIS model to the decision-making under complex spherical fuzzy information. Soft Comput 25(16):10771–10795
4. Akram M, Luqman A, Alcantud JCR (2021) Risk evaluation in failure modes and effects analysis: hybrid TOPSIS and ELECTRE I solutions with Pythagorean fuzzy information. Neural Comput Appl 33:5675–5703
5. Benecchi L (2006) Neuro-fuzzy system for prostate cancer diagnosis. Urology 68(2):357–361
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