Published August 30, 2020
| Version v1
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Improved Fuzzy Modeling of Thyroid Disease Detection using Interval Type-2 Fuzzy Techniques
- 1. Research Scholar, Department of Computer Science and Engineering, Babu Banarasi Das University, Lucknow, India.
- 2. Professor and Head, Department of Computer Science, School of Engineering, BBD University, Lucknow, India
Contributors
- 1. Publisher
Description
Fuzzy Systems are the managers for the modeling environment uncertainty for real time decision making. Type 1 fuzzy systems are much interpretable but less accurate than the type 2 and Interval Type 2 Fuzzy Systems (IT2FS). The paper introduces an experimental analysis to address the interpretability quantification and accuracy measurement in all types of fuzzy implementations. The experiment is carried out on the Thyroid dataset which leads to predict the level of Thyroid in the patients.
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- Journal article: 2249-8958 (ISSN)
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- ISSN
- 2249-8958
- Retrieval Number
- C5931029320/2020©BEIESP