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10. Edmonds, B.: The Constructibility of Artificial Intelligence (as Defined by the Turing
Test). Journal of Logic, Language and Information 9(4), 419-424 (2000)
11. Harnard, S.: Minds, Machines and Turing. Journal of Logic, Language and Informa-
tion 9(4), 425-445 (2000)
12. Klir, G.J., Folger, T.A.: Fuzzy Sets, Uncertainty, and Information. Prentice-Hall, Engle-
wood Cliffs (1988)
13. Massada, E., Siqueira Ortega, N.R., Struchiner, C.J., Burattini, M.N.: Fuzzy Epidemics.
Artificial Intelligence in Medicine 29, 241-259 (2003)
14. Miyahira, S.A., Araujo, E.: Fuzzy Obesity Index for Surgical Indication and Treatment.
In: International Conference on Fuzzy Systems, pp. 2392-2397 (2008)
15. Miyahira, S.A., de Azevedo, J.L.M.C., Araujo, E.: Fuzzy Obesity Index (mafoi)
for Obesity Evaluation and Bariatric Surgery Indication. Journal of Translational
Medicine 9(134), 1-10 (2011)
16. Miyahira Susana, A., Araujo, E.: Miyahira-Araujo Fuzzy Obesity Index (mafoi) for
Body Mass Index and Body Fat Clinical Analysis. In: Syndrome Assessment, Classifi-
cation and Treatment, and Surgical Indication (2011) (submitted)
17. Nordenfelt, L.: On the Place of Fuzzy Health in Medical Theory. Journal of Medicine
and Philosophy 25, 639-649 (2000)
18. Rapaport, W.J.: How to Pass a Turing Test. Journal of Logic, Language and Informa-
tion 9(4), 467-490 (2000)
19. Reyna, V.F.: A Theory of Medical Decision Making and Health: Fuzzy Trace Theory.
Medical Decision Making 28, 850-865 (2008)
20. Sadegh-Zadeh, K.: Fundamentals of linical ethodology: 1.differential indication. Artifi-
cial Intelligence in Medicine 6, 83-102 (1998)
21. Sadegh-Zadeh, K.: Fundamentals of clinical methodology: 2.etiology. Artificial Intelli-
gence in Medicine 12, 227-270 (1998)
22. Sadegh-Zadeh, K.: Fundamentals of clinical methodology: 3.nosology. Artificial Intelli-
gence in Medicine 17, 87-108 (1999)
23. Sadegh-Zadeh, K.: Erratum to "fundamentals of clinical methodology: 3. nosology. Ar-
tificial Intelligence in Medicine 17(1), 87 (1999); Artificial Intelligence in Medicine 18,
p. 109 (2000)
24. Sadegh-Zadeh, K.: Fundamentals of clinical methodology: 4.diagnosis. Artificial Intel-
ligence in Medicine 20, 227-241 (2000)
25. Sadegh-Zadeh, K.: Fuzzy Health, Illness, and Disease. Journal of Medicine and Philos-
ophy, 605-638 (2000)
26. Seising, R.: From vagueness in medical thought to the foundations of fuzzy reasoning in
medical diagnosis. Artificial Intelligence in Medicine 38, 237-256 (2006)
27. Seising, R.: On the Absence of Strict Boundaries —Vagueness, Haziness, and Fuzziness
in Philosophy, Science, and Medicine. Applied Soft Computing Journal 8, 1232-1242
(2008)
28. Sproule, B.A., Naranjo, C.A., Türksen, I.B.: Fuzzy Pharmacology: Theory and Appli-
cations. Trends in Pharmacological Sciences 23, 412-417 (2002)
29. Steimann, F.: On the Use and Usefulness of Fuzzy sets in Medical AI. Artificial Intelli-
gence in Medicine 21, 131-137 (2001)
30. Teodorrescu, H.-N., Kandel, A., Jain, L.C.: Fuzzy Logic and Neuro-fuzzy Systems
in Medicine and Bio-medical Engineering: A Historical Perspective. In: Jain, L.C.,
Teodorrescu, H.-N., Kandel, A. (eds.) Fuzzy and Neuro-Fuzzy Systems in Medicine,
CRC Press, Boca Raton (1988)
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