Integration of type-2 fuzzy logic and Dempster–Shafer Theory for accurate inference of IoT-based health-care system

Ihsan Ullah; Hee Yong Youn; Youn-Hee Han

doi:10.1016/j.future.2021.06.012

journal article Nov 01, 2021

Integration of type-2 fuzzy logic and Dempster–Shafer Theory for accurate inference of IoT-based health-care system

Ihsan Ullah

Hee Yong Youn Youn-Hee Han

Future Generation Computer Systems Vol. 124 pp. 369-380 · Elsevier BV

View at Publisher Save 10.1016/j.future.2021.06.012

Topics

No keywords indexed for this article. Browse by subject →

References

42

[1]

Qiu "How can heterogeneous internet of things build our future: A survey" IEEE Commun. Surv. Tutor. (2018) 10.1109/comst.2018.2803740

[2]

Pirbhulal "A joint resource-aware and medical data security framework for wearable healthcare systems" Future Gener. Comput. Syst. (2019) 10.1016/j.future.2019.01.008

[3]

Guo "A new data clustering strategy for enhancing mutual privacy in healthcare IoT systems" Future Gener. Comput. Syst. (2020) 10.1016/j.future.2020.07.023

[4]

Jaiswal "A survey on IoT-based healthcare system: Potential applications, issues, and challenges" (2021)

[5]

Selvaraj "Challenges and opportunities in IoT healthcare systems: a systematic review" SN Appl. Sci. (2020) 10.1007/s42452-019-1925-y

[6]

Ivanov (2020)

[7]

Diethe (2017)

[8]

Ullah "Multisensor data fusion based on modified belief entropy in Dempster–Shafer theory for smart environment" IEEE Access. (2021) 10.1109/access.2021.3063242

[9]

Ullah "Intelligent data fusion for smart IoT environment: a survey" Wirel. Pers. Commun. (2020) 10.1007/s11277-020-07369-0

[10]

Gravina "Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges" Inf. Fusion. (2017) 10.1016/j.inffus.2016.09.005

[11]

Selvan "Fuzzy ontology-based personalized recommendation for internet of medical things with linked open data" J. Intell. Fuzzy Syst. (2019)

[12]

Collotta "A fuzzy data fusion solution to enhance the QoS and the energy consumption in wireless sensor networks" Wirel. Commun. Mob. Comput. (2017) 10.1155/2017/3418284

[13]

Mohan "Ontology based access control model for healthcare system in cloud computing" Indian J. Sci. Technol. (2015) 10.17485/ijst/2015/v8is9/53617

[14]

A Context-Aware Interactive Health Care System Based on Ontology and Fuzzy Inference

Tzu-Chiang Chiang, Wen-hua Liang

Journal of Medical Systems 2015 10.1007/s10916-015-0287-2

[15]

Kumar "Ontology based public healthcare system in internet of things (IoT)" Procedia Comput. Sci. (2015) 10.1016/j.procs.2015.04.067

[16]

Fan "Multisensor fusion method based on the belief entropy and DS evidence theory" J. Sens. (2020) 10.1155/2020/7917512

[17]

Kanjanatarakul (2017)

[18]

Mehrannia (2018)

[19]

Wang "A novel method to use fuzzy soft sets in decision making based on ambiguity measure and Dempster–Shafer theory of evidence: an application in medical diagnosis" Artif. Intell. Med. (2016) 10.1016/j.artmed.2016.04.004

[20]

Nesa "IoT-Based sensor data fusion for occupancy sensing using Dempster–Shafer evidence theory for smart buildings" IEEE Internet Things J. (2017) 10.1109/jiot.2017.2723424

[21]

Yu "Novel data fusion algorithm based on event-driven and Dempster–Shafer evidence theory" Wirel. Pers. Commun. (2018)

[22]

Deepa "An AI-based intelligent system for healthcare analysis using Ridge-Adaline stochastic gradient descent classifier" J. Supercomput. (2020)

[23]

S.P. RM "An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture" Comput. Commun. (2020) 10.1016/j.comcom.2020.05.048

[24]

Haghi "A flexible and pervasive IoT-based healthcare platform for physiological and environmental parameters monitoring" IEEE Internet Things J. (2020) 10.1109/jiot.2020.2980432

[25]

Muhammad "Fuzzy based expert system for diagnosis of coronary artery disease in nigeria" Health Technol. (2021) 10.1007/s12553-021-00531-z

[26]

Yew (2020)

[27]

Wang "Secure healthcare monitoring framework integrating NDN-based IoT with edge cloud" Future Gener. Comput. Syst. (2020) 10.1016/j.future.2020.05.042

[28]

Reddy "Hybrid firefly-bat optimized fuzzy artificial neural network based classifier for diabetes diagnosis" Int. J. Intell. Eng. Syst. (2017)

[29]

Habib "Self-adaptive data collection and fusion for health monitoring based on body sensor networks" IEEE Trans. Ind. Inform. (2016) 10.1109/tii.2016.2575800

[30]

Muzammal "A multi-sensor data fusion enabled ensemble approach for medical data from body sensor networks" Inf. Fusion. (2020) 10.1016/j.inffus.2019.06.021

[31]

An Autonomous Wireless Body Area Network Implementation Towards IoT Connected Healthcare Applications

Taiyang Wu, Fan Wu, Jean-Michel Redoute et al.

IEEE Access 2017 10.1109/access.2017.2716344

[32]

Pinto "An approach to implement data fusion techniques in wireless sensor networks using genetic machine learning algorithms" Inf. Fusion. (2014) 10.1016/j.inffus.2013.05.003

[33]

Liu "Fault-tolerant event detection in wireless sensor networks using evidence theory." KSII Trans. Internet Inf. Syst. (2015)

[34]

Azimirad "The improvement of uncertainty measurements accuracy in sensor networks based on fuzzy Dempster-Shafer theory" Int. J. Adv. Intell. Inform. (2020)

[35]

An "A novel fuzzy approach for combining uncertain conflict evidences in the Dempster-Shafer theory" IEEE Access. (2019) 10.1109/access.2018.2890419

[36]

Alqhtani "Multimedia data fusion for event detection in twitter by using dempster-shafer evidence theory" Int. J. Comput. Electr. Autom. Control Inf. Eng. World Acad. Sci. Eng. Technol. (2015)

[37]

Senouci "Fusion-based surveillance WSN deployment using Dempster–Shafer theory" J. Netw. Comput. Appl. (2016) 10.1016/j.jnca.2015.12.014

[38]

Mendel "Uncertain rule-based fuzzy systems" (2017)

[39]

UCI Machine Learning Repository, (n.d.). https://archive.ics.uci.edu/ml/index.php.

[40]

Pima Indians Diabetes Database, (n.d.). https://kaggle.com/uciml/pima-indians-diabetes-database.

[41]

Riaño "An ontology-based personalization of health-care knowledge to support clinical decisions for chronically ill patients" J. Biomed. Inform. (2012) 10.1016/j.jbi.2011.12.008

[42]

The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

Davide Chicco, Giuseppe Jurman

BMC Genomics 2020 10.1186/s12864-019-6413-7

Cited By

32

A comprehensive review on key technologies toward smart healthcare systems based IoT: technical aspects, challenges and future directions

Muntadher Alsabah, Marwah Abdulrazzaq Naser · 2025

Artificial Intelligence Review

A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion

A.S. Albahri, Ali M. Duhaim · 2023

Information Fusion

Metrics

32

Citations

42

References

Details

Published: Nov 01, 2021
Vol/Issue: 124
Pages: 369-380
License: View

Authors

Future Convergence Engineering, Korea University of Technology and Education, Cheonan, South Korea

Funding

National Research Foundation of Korea

Ministry of Education Award: NRF-2018R1A6A1A03025526

Cite This Article

Ihsan Ullah, Hee Yong Youn, Youn-Hee Han (2021). Integration of type-2 fuzzy logic and Dempster–Shafer Theory for accurate inference of IoT-based health-care system. Future Generation Computer Systems, 124, 369-380. https://doi.org/10.1016/j.future.2021.06.012

Integration of type-2 fuzzy logic and Dempster–Shafer Theory for accurate inference of IoT-based health-care system

You May Also Like