On advantages of a fuzzy approach to a diagnosis support

Ewa Straszecka

doi:10.1007/978-3-319-11310-4_30

On advantages of a fuzzy approach to a diagnosis support

Ewa Straszecka

Katedra Cybernetyki, Nanotechnologii i Przetwarzania Danych (RAU/RAU10)

Wyniki badań: Wkład do czasopisma › Artykuł › recenzja

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Abstrakt

In the paper the problem of norm limits of laboratory tests used in probabilistic and fuzzy approach to diagnosis support is discussed. The fuzzy approach is proposed as the Dempster-Shafer theory extended for fuzzy focal elements. A simple diagnostic problem is simulated for the both approaches and results are commented. Conclusions from the simulation are used to determine the set of rules for a benchmark database. Both the simulation and calculations for the benchmark confirm that a fuzzy interpretation of norm limits can improve a diagnosis.

Język oryginału	angielski
Strony (od–do)	345-355
Liczba stron	11
Czasopismo	Advances in Intelligent Systems and Computing
Tom	323
Identyfikatory DOI	https://doi.org/10.1007/978-3-319-11310-4_30
Status publikacji	Opublikowano - 2015

Obszary tematyczne ASJC Scopus

Inżynieria sterowania i systemów
Informatyka ogólna

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10.1007/978-3-319-11310-4_30

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abstract = "In the paper the problem of norm limits of laboratory tests used in probabilistic and fuzzy approach to diagnosis support is discussed. The fuzzy approach is proposed as the Dempster-Shafer theory extended for fuzzy focal elements. A simple diagnostic problem is simulated for the both approaches and results are commented. Conclusions from the simulation are used to determine the set of rules for a benchmark database. Both the simulation and calculations for the benchmark confirm that a fuzzy interpretation of norm limits can improve a diagnosis.",

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AB - In the paper the problem of norm limits of laboratory tests used in probabilistic and fuzzy approach to diagnosis support is discussed. The fuzzy approach is proposed as the Dempster-Shafer theory extended for fuzzy focal elements. A simple diagnostic problem is simulated for the both approaches and results are commented. Conclusions from the simulation are used to determine the set of rules for a benchmark database. Both the simulation and calculations for the benchmark confirm that a fuzzy interpretation of norm limits can improve a diagnosis.

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KW - Fuzzy sets

UR - https://www.scopus.com/pages/publications/84921482511

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ER -

On advantages of a fuzzy approach to a diagnosis support

Abstrakt

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