Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryMineral Visual ExplorerAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral QuizTime Machine
Photo SearchPhoto GalleriesSearch by ColorPhoto Colour ExplorerNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Obidallah, Waeal J. (2025) A Soft Computing Approach to Ensuring Data Integrity in IoT-Enabled Healthcare Using Hesitant Fuzzy Sets. Applied Sciences, 15 (19). doi:10.3390/app151910520

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleA Soft Computing Approach to Ensuring Data Integrity in IoT-Enabled Healthcare Using Hesitant Fuzzy Sets
JournalApplied Sciences
AuthorsObidallah, Waeal J.Author
Year2025 (September 28)Volume15
Issue19
PublisherMDPI AG
DOIdoi:10.3390/app151910520Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID19004594Long-form Identifiermindat:1:5:19004594:6
GUID0
Full ReferenceObidallah, Waeal J. (2025) A Soft Computing Approach to Ensuring Data Integrity in IoT-Enabled Healthcare Using Hesitant Fuzzy Sets. Applied Sciences, 15 (19). doi:10.3390/app151910520
Plain TextObidallah, Waeal J. (2025) A Soft Computing Approach to Ensuring Data Integrity in IoT-Enabled Healthcare Using Hesitant Fuzzy Sets. Applied Sciences, 15 (19). doi:10.3390/app151910520
In(2025, September) Applied Sciences Vol. 15 (19). MDPI AG

References Listed

These are the references the publisher has listed as being connected to the article. Please check the article itself for the full list of references which may differ. Not all references are currently linkable within the Digital Library.

Not Yet Imported: IEEE Access - journal-article : 10.1109/ACCESS.2023.3270225

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
GlobeNewswire (2025, September 07). With 12.80% CAGR, IoMT Sensor Security Market Size Hit USD 1493.66 Million in 2028—Comprehensive Research Report by Facts & Factors. Available online: https://www.globenewswire.com/en/news-release/2023/02/22/2613207/0/en/With-12-80-CAGR-IoMT-Sensor-Security-Market-Size-Hit-USD-1493-66-Million-in-2028-Comprehensive-Research-Report-by-Facts-Factors.html.
GlobalData (2025, August 01). Cybersecurity Spending in IoMT Sensor Sector Will Reach $1.2 Billion by 2025 Driven by Escalating Health Data Breaches. Available online: https://www.globaldata.com/media/medical-devices/globaldata-predicts-1-1-billion-growth-in-medical-device-cybersecurity-market-amid-rising-threats/.
Boström, J., and Agheli, A. (2025, August 12). The Application of Data Security Management in Healthcare Organizations, Lund University. Available online: https://lup.lub.lu.se/student-papers/search/publication/9052307.
Not Yet Imported: Diagnostics - journal-article : 10.3390/diagnostics13101733

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
(2025, August 15). IoMT Sensors & Products—Saudi Arabia, Statista. Available online: https://www.statista.com/outlook/io/manufacturing/IoMT-sensors-products/saudi-arabia.
Not Yet Imported: - journal-article : 10.1177/2516043519900431

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Ksibi (2021) Secur. Inf. Netw. A user-centric hesitant fuzzy AHP-based method for IoMT sensors security assessment 2, 1
Not Yet Imported: - journal-article : 10.3390/ijerph17093335

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Not Yet Imported: Energies - journal-article : 10.3390/en15010218

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Kolios (2017) Int. J. Multicriteria Decis. Mak. Failure mode and effects analysis using a hesitant fuzzy-TOPSIS method: A case study of subsea control module 7, 2015
Not Yet Imported: - journal-article : 10.1016/j.techsoc.2020.101258

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
Rasmussen (2009) Comput. Commun. Secur. Proximity-based access control for implantable IoMT sensors 5, 410
Dupont (2020) Syst. Secur. Priv. Prot. A matter of life and death: Analyzing the security of healthcare networks 35, 355
Zhang, Meng, Raghunathan, Anand, Jha, Niraj K. (2014) Trustworthiness of Medical Devices and Body Area Networks. Proceedings of the IEEE, 102. 1174-1188 doi:10.1109/jproc.2014.2322103
Not Yet Imported: - journal-article : 10.1145/3571156

If you would like this item imported into the Digital Library, please contact us quoting Journal ID
He (2023) J. IoMT Internet Res. AI-based ethical hacking for health information systems (HIS): A simulation study 5, 1212
Zachos (2023) Comput. Netw. An IoT/IoMT security testbed for anomaly-based intrusion detection systems 55, 1
(2025, August 27). IoMT Sensor Security Market Size & Share Analysis—Growth Trends & Forecasts (2023–2028), Mordor Intelligence. Available online: https://www.mordorintelligence.com/industry-reports/global-sensors-market.

See Also

These are possibly similar items as determined by title/reference text matching only.

Aldamaeen, Ohud, Rashideh, Waleed, Obidallah, Waeal J. (2023) Toward Patient-Centric Healthcare Systems: Key Requirements and Framework for Personal Health Records Based on Blockchain Technology. Applied Sciences, 13 (13) 7697 doi:10.3390/app13137697
Gifu, Daniela (2024) Soft Sets Extensions: Innovating Healthcare Claims Analysis. Applied Sciences, 14 (19). doi:10.3390/app14198799
Parvin, Sazia; Fahd, Kiran (2025) A Set Theoretic Framework for Unsupervised Preprocessing and Power Consumption Optimisation in IoT-Enabled Healthcare Systems for Smart Cities. Applied Sciences, 15 (16). doi:10.3390/app15169047
Bashir, Zia; Bashir, Yasir; Rashid, Tabasam; Ali, Jawad; Gao, Wei (2025) Correction: Bashir et al. A Novel Multi-Attribute Group Decision-Making Approach in the Framework of Proportional Dual Hesitant Fuzzy Sets. Appl. Sci. 2019, 9, 1232. Applied Sciences, 15 (21). doi:10.3390/app152111818
Chen, Siji, Zhang, Yueyi, Gong, Jun (2023) A Systematic Decision-Making Approach for Quality Function Deployment Based on Hesitant Fuzzy Linguistic Term Sets. Applied Sciences, 13 (24) 13104 doi:10.3390/app132413104
Bashir, Zia, Bashir, Yasir, Rashid, Tabasam, Ali, Jawad, Gao, Wei (2019) A Novel Multi-Attribute Group Decision-Making Approach in the Framework of Proportional Dual Hesitant Fuzzy Sets. Applied Sciences, 9. 1232pp. doi:10.3390/app9061232
Farhadinia, B. (2013) Information measures for hesitant fuzzy sets and interval-valued hesitant fuzzy sets. Information Sciences, 240. 129-144 doi:10.1016/j.ins.2013.03.034
Tebrizcik, Semra; Ersöz, Süleyman; Duman, Elvan; Aktepe, Adnan; Türker, Ahmet Kürşad (2025) Optimization of Cleaning and Hygiene Processes in Healthcare Using Digital Technologies and Ensuring Quality Assurance with Blockchain. Applied Sciences, 15 (15). doi:10.3390/app15158460
Wang, , Tawose, , Jiang, , Zhao, (2019) Toward Automatic Cardiomyocyte Clustering and Counting through Hesitant Fuzzy Sets. Applied Sciences, 9. 2875pp. doi:10.3390/app9142875
Karaaslan, Faruk, Karamaz, Fatih (2022) Hesitant fuzzy parameterized hesitant fuzzy soft sets and their applications in decision-making. International Journal of Computer Mathematics, 99 (9) 1868-1889 doi:10.1080/00207160.2021.2019715
Karimi, Azin, Razi, Nazila, Rezazadeh, Javad (2024) An IoT Healthcare System Based on Fog Computing and Data Mining: A Diabetic Use Case. Applied Sciences, 14 (17). doi:10.3390/app14177924
 
and/or  
Mindat.org® is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization. Mindat® and mindat.org® are registered trademarks of the Hudson Institute of Mineralogy.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2026, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph and Ida Chau.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: June 7, 2026 05:50:00
Go to top of page