Membership Functions for Fuzzy Focal Elements
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 acc...
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| Format: | Article |
| Language: | English |
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Polish Academy of Sciences
2016-09-01
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| Series: | Archives of Control Sciences |
| Subjects: | |
| Online Access: | http://www.degruyter.com/view/j/acsc.2016.26.issue-3/acsc-2016-0022/acsc-2016-0022.xml?format=INT |
| _version_ | 1818020281924452352 |
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| author | Porębski Sebastian Straszecka Ewa |
| author_facet | Porębski Sebastian Straszecka Ewa |
| author_sort | Porębski Sebastian |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-14T08:03:54Z |
| format | Article |
| id | doaj.art-105e78a3e19a4fbb8eab19f0fd6b78f1 |
| institution | Directory Open Access Journal |
| issn | 2300-2611 |
| language | English |
| last_indexed | 2024-04-14T08:03:54Z |
| publishDate | 2016-09-01 |
| publisher | Polish Academy of Sciences |
| record_format | Article |
| series | Archives of Control Sciences |
| spelling | doaj.art-105e78a3e19a4fbb8eab19f0fd6b78f12022-12-22T02:04:49ZengPolish Academy of SciencesArchives of Control Sciences2300-26112016-09-0126339542710.1515/acsc-2016-0022acsc-2016-0022Membership Functions for Fuzzy Focal ElementsPorębski Sebastian0Straszecka Ewa1Institute of Electronics, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, ul. Akademicka 16, 44-100 Gliwice, PolandInstitute of Electronics, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, ul. Akademicka 16, 44-100 Gliwice, PolandThe 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.http://www.degruyter.com/view/j/acsc.2016.26.issue-3/acsc-2016-0022/acsc-2016-0022.xml?format=INTdiagnostic rule extractionmedical diagnosis supportfuzzy focal elementsmembership functionsDempster-Shafer theory |
| spellingShingle | Porębski Sebastian Straszecka Ewa Membership Functions for Fuzzy Focal Elements Archives of Control Sciences diagnostic rule extraction medical diagnosis support fuzzy focal elements membership functions Dempster-Shafer theory |
| title | Membership Functions for Fuzzy Focal Elements |
| title_full | Membership Functions for Fuzzy Focal Elements |
| title_fullStr | Membership Functions for Fuzzy Focal Elements |
| title_full_unstemmed | Membership Functions for Fuzzy Focal Elements |
| title_short | Membership Functions for Fuzzy Focal Elements |
| title_sort | membership functions for fuzzy focal elements |
| topic | diagnostic rule extraction medical diagnosis support fuzzy focal elements membership functions Dempster-Shafer theory |
| url | http://www.degruyter.com/view/j/acsc.2016.26.issue-3/acsc-2016-0022/acsc-2016-0022.xml?format=INT |
| work_keys_str_mv | AT porebskisebastian membershipfunctionsforfuzzyfocalelements AT straszeckaewa membershipfunctionsforfuzzyfocalelements |