An Intelligent and Robust Framework towards Anomaly Detection, Medical Diagnosis, and Shortest Path Problems Based on Interval-Valued T-Spherical Fuzzy Information

Jin, Huanhuan and Jah Rizvi, Syed Khurram and Mahmood, Tahir and Jan, Naeem and Ullah, Kifayat and Saleem, Shahzad (2020) An Intelligent and Robust Framework towards Anomaly Detection, Medical Diagnosis, and Shortest Path Problems Based on Interval-Valued T-Spherical Fuzzy Information. Mathematical Problems in Engineering, 2020: 9656909. pp. 1-23. ISSN 1024-123X

Text 21. An intell and robust TSF.pdf - Published Version Download (2MB)

Abstract

*e recent emerging advancements in the domain of the fuzzy sets are the framework of the T-spherical fuzzy set (TSFS) and interval valued T-spherical fuzzy set (IVTSFS). Keeping in view the promising significance of the latest research trend in the fuzzy sets and the
enabling impact of IVTSFS, we proposed a novel framework for decision assembly using interval valued TSFS based upon encompassing the four impressive dimensions of human judgement including favor, abstinence, disfavor, and refusal degree. Another remarkable contribution is the optimization of information modeling and prevention of information loss by redefining the concept of each
membership in interval. Moreover, the proposed research made a worthy contribution work by demonstrating the effective utilization of the interval valued TSFS based framework in anomaly detection, medical diagnosis, and shortest path problem. *e proposed work demonstrates the effective remedial measure for the anomaly detection problem based on several parameters using the aggregation
operators of IVTSFS. Moreover, the interval valued T-spherical fuzzy relations and their composition are illustrated to investigate the medical diagnosis problem. Furthermore, the notion of interval valued T-spherical fuzzy graph is also presented and fundamenta notions of graph theory are also demonstrated with the help of real world instances. In the context of interval valued T-spherical fuzzy graphs (IVTSFGs), a modified Dijkstra Algorithm (DA) is developed and applied to the shortest path problem.*ein-depth quantitative assessment and comparative analysis revealed that the proposed notion outpaces contemporary progressive approaches.

Item Type:	Article
Subjects:	Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Faculty of Engineering and Applied Sciences (FEAS) > Department of Basic Sciences Lahore
Depositing User:	Dr. Kifayat Ullah
Date Deposited:	01 Feb 2021 06:35
Last Modified:	01 Feb 2021 06:35
URI:	http://research.riphah.edu.pk/id/eprint/1216

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