Back to Search
Start Over
Thick gradual intervals: An alternative interpretation of type-2 fuzzy intervals and its potential use in type-2 fuzzy computations
- Source :
- Engineering Applications of Artificial Intelligence, Engineering Applications of Artificial Intelligence, Elsevier, 2019, 85, pp.691-712. ⟨10.1016/j.engappai.2019.07.014⟩
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- International audience; This paper proposes a new interpretation of type-2 fuzzy intervals (T2FIs) through the joint use of gradual intervals (GIs) and thick intervals (TIs). In this framework, a T2FI is viewed as a thick gradual interval (TGI). This new representation gives an original concept for the manipulation of T2FIs according to the thick gradual representation. Furthermore, this vision allows an extension of the interval arithmetic arsenal and reasoning to the framework of T2FIs. The proposed approach can be regarded as more computationally viable, which will make T2FIs computations more useful in applied scenarios. As an illustration, the proposed concept is used to implement the elementary arithmetic operations on T2FIs. The potentialities of the TGI approach have been validated in the frameworks of T2FI aggregation operators and T2FI regression.
- Subjects :
- 0209 industrial biotechnology
Computer science
Computation
Elementary arithmetic
02 engineering and technology
Interval (mathematics)
Fuzzy logic
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Interval arithmetic
T2FI aggregation operators
020901 industrial engineering & automation
Operator (computer programming)
Artificial Intelligence
Thick intervals and thick gradual intervals
0202 electrical engineering, electronic engineering, information engineering
Electrical and Electronic Engineering
Representation (mathematics)
Interpretation (logic)
Extension (predicate logic)
Type-1 and type-2 fuzzy intervals
Control and Systems Engineering
020201 artificial intelligence & image processing
Fuzzy arithmetic and gradual arithmetic
T2FI regression
Algorithm
Subjects
Details
- ISSN :
- 09521976
- Volume :
- 85
- Database :
- OpenAIRE
- Journal :
- Engineering Applications of Artificial Intelligence
- Accession number :
- edsair.doi.dedup.....3640ca8e4c3bd1aaa77830ebaad57b7a
- Full Text :
- https://doi.org/10.1016/j.engappai.2019.07.014