New sensor fault detection and isolation strategy–based interval‐valued data
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Chemometrics"
DOI: 10.1002/cem.3222
Abstract: In this paper, a new data‐driven sensor fault detection and isolation (FDI) technique for interval‐valued data is developed. The developed approach merges the benefits of generalized likelihood ratio (GLR) with interval‐valued data and principal component… read more here.
Keywords: fault; valued data; fault detection; interval valued ... See more keywords
Exponential distance-based fuzzy clustering for interval-valued data
Sign Up to like & getrecommendations! Published in 2017 at "Fuzzy Optimization and Decision Making"
DOI: 10.1007/s10700-016-9238-8
Abstract: In several real life and research situations data are collected in the form of intervals, the so called interval-valued data. In this paper a fuzzy clustering method to analyse interval-valued data is presented. In particular,… read more here.
Keywords: fuzzy clustering; interval valued; exponential distance; valued data ... See more keywords
Interval Fuzzy c-Regression Models with Competitive Agglomeration for Symbolic Interval-Valued Data
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-020-00816-x
Abstract: In this study, a novel approach, interval fuzzy c-regression models with competitive agglomeration (IFCRMCA), is proposed to deal with the symbolic interval-valued data. The proposed IFCRMCA approach can identify the partition of the interval-valued data… read more here.
Keywords: competitive agglomeration; valued data; interval valued; regression models ... See more keywords
Fault detection of uncertain nonlinear process using interval-valued data-driven approach
Sign Up to like & getrecommendations! Published in 2019 at "Chemical Engineering Science"
DOI: 10.1016/j.ces.2018.11.063
Abstract: Abstract This paper introduces a new structure kernel principal component analysis (KPCA) that can successfully model symbolic interval-valued data for fault detection. In the proposed structure, interval KPCA (IKPCA) method is proposed to deal with… read more here.
Keywords: valued data; process; interval valued; fault detection ... See more keywords
Interval valued data driven approach for sensor fault detection of nonlinear uncertain process
Sign Up to like & getrecommendations! Published in 2020 at "Measurement"
DOI: 10.1016/j.measurement.2020.108776
Abstract: Abstract In advanced industrial fields such as chemical processes, faults must absolutely be detected; we cannot afford to operate with failing operative parts. It is therefore, necessary to take into consideration the uncertainties in order… read more here.
Keywords: detection; valued data; nonlinear uncertain; interval valued ... See more keywords
Uncertainty Measurement for Fuzzy Set-Valued Data
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2972921
Abstract: Uncertainty measurement (UM) can offer new visual angle for data analysis. A fuzzy set-valued information system (FSVIS) indicates an information system (IS) where its information values are fuzzy sets. This article investigates UM for fuzzy… read more here.
Keywords: valued data; set valued; uncertainty; uncertainty measurement ... See more keywords
Tensor-Train Decomposition in the Presence of Interval-Valued Data
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2021.3135715
Abstract: In many fields of computer science, tensor decomposition techniques are increasingly being adopted as the core of many applications that rely on multi-dimensional datasets for implementing knowledge discovery tasks. Unfortunately, a major shortcoming of state-of-the-art… read more here.
Keywords: tensor train; tensor; valued data; interval valued ... See more keywords
SurReal: Complex-Valued Learning as Principled Transformations on a Scaling and Rotation Manifold.
Sign Up to like & getrecommendations! Published in 2020 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2020.3030565
Abstract: Complex-valued data are ubiquitous in signal and image processing applications, and complex-valued representations in deep learning have appealing theoretical properties. While these aspects have long been recognized, complex-valued deep learning continues to lag far behind… read more here.
Keywords: valued data; deep learning; scaling rotation; complex valued ... See more keywords
The Measurement of Social Cohesion at Province Level in Poland Using Metric and Interval-Valued Data
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DOI: 10.3390/su12187664
Abstract: The notion of social cohesion is increasingly used in the political, economic and academic debate. Due to its multidimensional, the assessment of social cohesion is not easy, especially if it is conducted at a lower… read more here.
Keywords: valued data; interval valued; social cohesion; level ... See more keywords