International Journal of Computational Intelligence Systems

Volume 8, Issue 1, January 2015, Pages 75 - 94

The Evidential Reasoning Approach to Medical Diagnosis using Intuitionistic Fuzzy Dempster-Shafer Theory

Authors
Yanni Wang, Yaping Dai, Yu-wang Chen, Fancheng Meng
Corresponding Author
Yanni Wang
Received 9 March 2014, Accepted 17 June 2014, Available Online 1 January 2015.
DOI
https://doi.org/10.2991/ijcis.2015.8.1.7How to use a DOI?
Keywords
Fuzzy sets, evidential reasoning, uncertainty, Dempster-Shafer theory, inclusion measure, medical diagnosis
Abstract
For medical diagnosis, fuzzy Dempster-Shafer theory is extended to model domain knowledge under probabilistic and fuzzy uncertainty. However, there are some information loss using discrete fuzzy sets and traditional matching degree method. This study aims to provide a new evidential structure to reduce information loss. This paper proposes a new intuitionistic fuzzy evidential reasoning (IFER) approach which combines intuitionistic trapezoidal fuzzy numbers and inclusion measure to improve the accuracy of representation and reasoning. The proposed approach has been validated by a stroke diagnosis. It is shown that the IFER approach leads to more accurate results.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
8 - 1
Pages
75 - 94
Publication Date
2015/01/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.2015.8.1.7How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Yanni Wang
AU  - Yaping Dai
AU  - Yu-wang Chen
AU  - Fancheng Meng
PY  - 2015
DA  - 2015/01/01
TI  - The Evidential Reasoning Approach to Medical Diagnosis using Intuitionistic Fuzzy Dempster-Shafer Theory
JO  - International Journal of Computational Intelligence Systems
SP  - 75
EP  - 94
VL  - 8
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2015.8.1.7
DO  - https://doi.org/10.2991/ijcis.2015.8.1.7
ID  - Wang2015
ER  -