The distance measures between q‐rung orthopair hesitant fuzzy sets and their application in multiple criteria decision making
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22133
Abstract: In this paper, we first introduce the concept of q‐rung orthopair hesitant fuzzy set ( q ‐ROHFS) and discuss the operational laws between any two q ‐ROHFSs. Then the distance measures between q ‐ROHFSs are… read more here.
Keywords: decision; distance; hesitant fuzzy; orthopair hesitant ... See more keywords
Hesitant Mahalanobis distance with applications to estimating the optimal number of clusters
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22512
Abstract: Distance measure is an essential tool to characterize the difference between two samples. Recently, lots of distance measures have been proposed for hesitant fuzzy sets (HFSs). In this paper, we shall propose some novel distance… read more here.
Keywords: distance measure; mahalanobis distance; distance; hesitant fuzzy ... See more keywords
Construction and generation of distance and similarity measures for intuitionistic fuzzy sets and various applications
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22608
Abstract: The distance measure between intuitionistic fuzzy sets (IFSs) is a concept of very contemporary interest among the researchers in the field of decision‐makings, such as pattern recognition, medical diagnosis, and multiattribute decision‐making (MADM) problems. Consequently,… read more here.
Keywords: intuitionistic fuzzy; distance measure; distance; similarity measures ... See more keywords
Some novel distance measures between dual hesitant fuzzy sets and their application in medical diagnosis
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22960
Abstract: A dual hesitant fuzzy set (DHFS) describes the uncertainty in the real world by using the membership degree and nonmembership degree. It can collect fuzzy information comprehensively and apply them into decision‐making tasks efficiently. In… read more here.
Keywords: medical diagnosis; novel distance; distance measures; distance ... See more keywords
Measuring analogousness in picture fuzzy sets: from picture distance measures to picture association measures
Sign Up to like & getrecommendations! Published in 2017 at "Fuzzy Optimization and Decision Making"
DOI: 10.1007/s10700-016-9249-5
Abstract: In this paper, we extend the basic distance measure in picture fuzzy sets to the new measures called generalized picture distance measures and picture association measures. Some properties of these measures are examined. An application… read more here.
Keywords: picture; distance; picture distance; fuzzy sets ... See more keywords
Domain adaptation-based deep feature learning method with a mixture of distance measures for bearing fault diagnosis
Sign Up to like & getrecommendations! Published in 2021 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/abeddd
Abstract: The success of deep learning-based bearing fault diagnosis depends on (a) training data and test data following the same data distribution; (b) a mass of labeled fault data being available. However, the working conditions of… read more here.
Keywords: mixture distance; fault; bearing fault; fault diagnosis ... See more keywords
Improving distance measures between genomic tracks with mutual proximity.
Sign Up to like & getrecommendations! Published in 2021 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbab266
Abstract: An increasing number of genomic tracks such as DNA methylation, histone modifications or transcriptomes are being produced to annotate genomes with functional states. The comparison of such high dimensional vectors obtained under various experimental conditions… read more here.
Keywords: distance; mutual proximity; genomic tracks; improving distance ... See more keywords
Granular Description of Data: A Comparative Study Regarding to Different Distance Measures
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3009541
Abstract: In data science, how to depict data in the concise and comprehensive way is an important issue. To address the issue, the key is to construct descriptors that are highly interpretable and can be used… read more here.
Keywords: distance; information granules; description data; distance measures ... See more keywords
Priority Degrees and Distance Measures of Complex Hesitant Fuzzy Sets With Application to Multi-Criteria Decision Making
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2022.3232371
Abstract: The notion of a complex hesitant fuzzy set (CHFS) is one of the better tools in order to deal with complex information. Since distance plays a crucial role in order to differentiate between two things… read more here.
Keywords: complex hesitant; distance measures; distance; hesitant fuzzy ... See more keywords
A Trisection Algorithm for Estimating Distance Measures for Strong Observability and Strong Detectability
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2022.3142120
Abstract: For reliably analyzing the properties of strong observability and strong detectability of a system, continuous distance measures can be used. When calculating these measures, it is necessary to find the global minimum of a nonconvex… read more here.
Keywords: strong detectability; distance measures; distance; observability strong ... See more keywords
Grassmannian Codes With New Distance Measures for Network Coding
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Information Theory"
DOI: 10.1109/tit.2019.2899748
Abstract: Grassmannian codes are known to be useful in error correction for random network coding. Recently, they were used to prove that vector network codes outperform scalar linear network codes, on multicast networks, with respect to… read more here.
Keywords: grassmannian codes; distance; codes new; distance measures ... See more keywords