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Thick sets, multiple-valued mappings, and possibility theory
- Source :
- Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas ISBN: 9783030456184, Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas, Vladik Kreinovich. Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas, 892, Springer, pp.101-109, 2020, Studies in Computational Intelligence, 978-3-030-45618-4. ⟨10.1007/978-3-030-45619-1_8⟩
- Publication Year :
- 2020
- Publisher :
- Springer, 2020.
-
Abstract
- International audience; Carrying uncertain information via a multivalued function can be found in different settings, ranging from the computation of the image of a set by an inverse function to the Dempsterian transfer of a probabilistic space by a multivalued function. We then get upper and lower images. In each case one handles so-called thick sets in the sense of Jaulin, i.e., lower and upper bounded ill-known sets. Such ill-known sets can be found under different names in the literature, e.g., interval sets after Y. Y. Yao, twofold fuzzy sets in the sense of Dubois and Prade, or interval-valued fuzzy sets, ... Various operations can then be defined on these sets, then understood in a disjunctive manner (epistemic uncertainty), rather than conjunctively. The intended purpose of this note is to propose a unified view of these formalisms in the setting of possibility theory, which should enable us to provide graded extensions to some of the considered calculi.
- Subjects :
- Possibility theory
0209 industrial biotechnology
Thick set
Inverse image
Computer science
Multivalued function
Fuzzy set
Uncertainty
Probabilistic logic
02 engineering and technology
Interval (mathematics)
16. Peace & justice
Set (abstract data type)
Algebra
020901 industrial engineering & automation
Bounded function
0202 electrical engineering, electronic engineering, information engineering
Interval analysis
[INFO]Computer Science [cs]
020201 artificial intelligence & image processing
Inverse function
Subjects
Details
- Language :
- English
- ISBN :
- 978-3-030-45618-4
- ISBNs :
- 9783030456184
- Database :
- OpenAIRE
- Journal :
- Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas ISBN: 9783030456184, Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas, Vladik Kreinovich. Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas, 892, Springer, pp.101-109, 2020, Studies in Computational Intelligence, 978-3-030-45618-4. ⟨10.1007/978-3-030-45619-1_8⟩
- Accession number :
- edsair.doi.dedup.....5bd1258405a0424ec6545cd2c5e19e13
- Full Text :
- https://doi.org/10.1007/978-3-030-45619-1_8⟩