- Tytuł:
- Membership Functions for Fuzzy Focal Elements
- Autorzy:
-
Porębski, S.
Straszecka, E. - Powiązania:
- https://bibliotekanauki.pl/articles/229232.pdf
- Data publikacji:
- 2016
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
diagnostic rule extraction
medical diagnosis support
fuzzy focal elements
membership functions
Dempster-Shafer theory - Opis:
- The paper presents a study on data-driven diagnostic rules, which are easy to interpret by human experts. To this end, the Dempster-Shafer theory extended for fuzzy focal elements is used. Premises of the rules (fuzzy focal elements) are provided by membership functions which shapes are changing according to input symptoms. The main aim of the present study is to evaluate common membership function shapes and to introduce a rule elimination algorithm. Proposed methods are first illustrated with the popular Iris data set. Next experiments with five medical benchmark databases are performed. Results of the experiments show that various membership function shapes provide different inference efficiency but the extracted rule sets are close to each other. Thus indications for determining rules with possible heuristic interpretation can be formulated.
- Źródło:
-
Archives of Control Sciences; 2016, 26, 3; 395-427
1230-2384 - Pojawia się w:
- Archives of Control Sciences
- Dostawca treści:
- Biblioteka Nauki
Artykuł