Zobrazeno 1 - 10
of 2 106
pro vyhledávání: '"fuzzy membership"'
Autor:
Hesham A. Hefny, Nelly S. Amer
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-23 (2024)
Abstract An interval type-2 (IT2) mutual subsethood Cauchy fuzzy neural inference system has been proposed in this paper. The network architecture consists of 3-layers with all connection weights being IT2 Cauchy fuzzy membership functions (CMFs). Th
Externí odkaz:
https://doaj.org/article/4e1eb36af6754acd82d1e5cde9d9f055
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 132, Iss , Pp 104051- (2024)
Wetland system is one of the most important ecosystems on the earth’s surface. It is significant important to monitor wetland ecosystem using remote sensing technology. However, the complexity, fuzziness, and spatial heterogeneity of wetlands incre
Externí odkaz:
https://doaj.org/article/573ad2487bfb4c879c3cb2645d8ee210
Autor:
Deepak Mane, Arun Kulkarni, Biswajeet Pradhan, Shilpa Gite, Ranjeet Vasant Bidwe, Chang-Wook Lee, Abdullah Alamri
Publikováno v:
IEEE Access, Vol 12, Pp 124209-124219 (2024)
This paper introduces two novel class-specific fuzzy clustering algorithms: Mean-based Supervised Clustering (MSC) and Density-based Mean Supervised Clustering (DMSC). These algorithms are designed to construct the hidden layer of the Fuzzy Hypersphe
Externí odkaz:
https://doaj.org/article/57ee66b842cd48978cc6f983f8bd91cf
Publikováno v:
IEEE Access, Vol 12, Pp 108425-108444 (2024)
Identifying crucial proteins in protein-protein interaction (PPI) networks is essential for understanding biological systems. However, the ambiguity of interaction strength hinders accurate identification of key proteins. To address this issue, this
Externí odkaz:
https://doaj.org/article/8c8d976bcbde43bfb7e7ae65c562a044
Publikováno v:
PeerJ Computer Science, Vol 10, p e1968 (2024)
The accuracy of most classification methods is significantly affected by missing values. Therefore, this study aimed to propose a data imputation method to handle missing values through the application of nearest neighbor data and fuzzy membership fu
Externí odkaz:
https://doaj.org/article/a7eef55e3d454b54b3a316e29eb9fc11
Publikováno v:
Journal of Universal Computer Science, Vol 29, Iss 9, Pp 1010-1032 (2023)
Falling is a critical issue for disabled people, and it leads to potentially serious injuries and death. Smart fall detection is a technology that depends on sensors and auxiliary devices that seek to improve the quality of life and enhance the lifes
Externí odkaz:
https://doaj.org/article/69a58cf9eede41e3be3cbdd15874e81b
Publikováno v:
Sensors, Vol 24, Iss 16, p 5115 (2024)
With the rapid development of sensors and other devices, precise control for the generation of new energy, especially in the context of highly stochastic wind power generation, has been strongly supported. However, large-scale wind farm grid connecti
Externí odkaz:
https://doaj.org/article/07750d8d3b4c4ac1ad32093c122f3322
Akademický článek
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Autor:
Md. Musa Miah, Ali AlArjani, Abdur Rashid, Aminur Rahman Khan, Md. Sharif Uddin, El-Awady Attia
Publikováno v:
AIMS Mathematics, Vol 8, Iss 5, Pp 10397-10419 (2023)
Considering the uncertainty of transporting goods from numerous origins to diverse destinations is a critical task for the decision-maker (DM). The ultimate goal of the DM is to make the right decisions that optimize the profit or loss of the organiz
Externí odkaz:
https://doaj.org/article/0ae96d89c3734daab8b4a0f529bb5bdb