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Comparative study of interval Type-2 and general Type-2 fuzzy systems in medical diagnosis
- Source :
- Information Sciences. 525:37-53
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Nowadays, computer science has the ability of assisting experts in different application areas. Recently there has been increasing attention in the health area, and there exist different approaches based on artificial intelligence that have been proposed in the diagnosis of several kinds of diseases. In particular, fuzzy systems have been successfully used as Diagnosis Systems, in this way helping doctors to realize a faster and more accurate diagnosis. However, with the emergence of Type-2 Fuzzy Systems, there have been important improvements in handling the uncertainty with respect to traditional Fuzzy Systems (now called Type-1 Fuzzy Systems) in different kinds of problems. In the present paper, a new approach to Fuzzy Diagnosis based on Type-2 Fuzzy Systems is proposed and compared with respect to Type-1 Fuzzy Systems on a set of diagnosis problems, in order to evaluate the relevance of the uncertainty handling in this kind of problems. On the other hand, the paper is also aiming at observing the accuracy behavior in Fuzzy Diagnosis Systems by changing the uncertainty level in the models. Finally, a comparison of Interval Type-2 Fuzzy Systems with respect to General Type-2 Fuzzy Systems for a set of diagnosis problems is presented.
- Subjects :
- Information Systems and Management
business.industry
Computer science
05 social sciences
050301 education
02 engineering and technology
Fuzzy control system
Interval (mathematics)
Type (model theory)
Machine learning
computer.software_genre
Computer Science Applications
Theoretical Computer Science
Set (abstract data type)
Artificial Intelligence
Control and Systems Engineering
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Relevance (information retrieval)
Artificial intelligence
Medical diagnosis
business
0503 education
computer
Software
Subjects
Details
- ISSN :
- 00200255
- Volume :
- 525
- Database :
- OpenAIRE
- Journal :
- Information Sciences
- Accession number :
- edsair.doi...........1bd85ceff11305b5e735ca0fcb4ee613