Fuzzy Sets and Systems
Distances between intuitionistic fuzzy sets
Fuzzy Sets and Systems
An application of intuitionistic fuzzy sets in medical diagnosis
Fuzzy Sets and Systems
Intuitionistic fuzzy information - Applications to pattern recognition
Pattern Recognition Letters
A note on information entropy measures for vague sets and its applications
Information Sciences: an International Journal
Research on aerial target type classification based on Vague sets and gray connection analysis
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Interval-valued fuzzy observations in Bayes classifier
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Recent advances in intuitionistic fuzzy information aggregation
Fuzzy Optimization and Decision Making
Distance and similarity measures for hesitant fuzzy sets
Information Sciences: an International Journal
Medical pattern recognition: applying an improved intuitionistic fuzzy cross-entropy approach
Advances in Fuzzy Systems - Special issue on Hybrid Biomedical Intelligent Systems
Information Sciences: an International Journal
| Hi-index | 0.00 |
We propose a new approach for medical diagnosis by employing intuitionistic fuzzy sets [cf. Atanassov [1,2]]. Solution is obtained by looking for the smallest distance [cf. Szmidt and Kacprzyk [7,8]] between symptoms that are characteristic for a patient and symptoms describing illnesses considered. We point out advantages of this new concept over the method proposed by De, Biswas and Roy [4] where intuitionistic fuzzy sets were also applied, but the max-min-max rule was used instead of taking into account all, unchanged symptom values as proposed in this article.