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How to process the random part of RFVs: comparison of available methods and new proposal
- Publication Year :
- 2010
- Publisher :
- IEEE / Institute of Electrical and Electronics Engineers Incorporated, 2010.
-
Abstract
- In the recent years, fuzzy variables (FVs) and random-fuzzy variables (RFVs) have been proposed to represent the measurement results with their associated uncertainty. However, up to now, the different authors do not yet agree in the mathematical way FVs should be composed together, so different approaches have been proposed. This paper compares these approaches to find their advantages and disadvantages and shows a new proposal that is supposed to hopefully overcome the disadvantages of the original approaches.
- Subjects :
- business.industry
Process (engineering)
Fuzzy set
Probability density function
Fuzzy control system
Machine learning
computer.software_genre
Fuzzy logic
Settore ING-INF/01 - Elettronica
Econometrics
Measurement uncertainty
Artificial intelligence
Electrical and Electronic Engineering
business
Instrumentation
Random variable
computer
Possibility theory
Mathematics
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....4e674613e81f881f5ca2c7f925fa18ab