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Volumn 21, Issue 1-3, 2001, Pages 201-207

Multicriteria fuzzy assignment method: a useful tool to assist medical diagnosis

Author keywords

Classification; Fuzzy sets; Medical applications; Multicriteria decision aid; PROAFTN

Indexed keywords

DECISION MAKING; FUZZY SETS;

EID: 0035188267     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0933-3657(00)00086-5     Document Type: Article
Times cited : (66)

References (7)
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    • Belacel N, Boulassel MR. The use of fuzzy assignment method PROAFTN to make grading of bladder cancer malignancy using the features generated by means of computer-assisted image analysis. Foundations Comput Decision Sci 2000;25(1): 24-33.
  • 4
    • 0006721225 scopus 로고    scopus 로고
    • Belacel N, Vincke Ph, Scheiff JM, Boulassel MR. Acute leukemia diagnosis aid software using multicriteria fuzzy assignment methodology. Computer Methods and Programs in Biomedicine [in press].
  • 5
    • 0006686375 scopus 로고    scopus 로고
    • Decaestecker C, Camby I, Salmon I, et al. The combined use of the decision tree technique and the computer-assisted microscope analysis of Feulgen-stained nuclei as an aid for astrocytic tumour aggressiveness characterization. Int J Oncol 1995;7:183-9.
  • 6
    • 0006683536 scopus 로고    scopus 로고
    • Decaestecker C, Van Velthoven R, Petein M, et al. The use of the decision tree technique and image cytometry to characterize aggressiveness in World Health Organization (WHO) grade II superficial transitional cell carcinomas of the bladder. J Pathol 1996;178:274-83.
  • 7
    • 0006721226 scopus 로고    scopus 로고
    • Weiss SM, Kulikowski CA. Computer systems that learn, classification and prediction methods from statistics, neural nets, machine learning and expert systems. San Mateo, CA: Morgan Kaufmann, 1991.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.