Open AccessDecision-Making with Unknown Weights for the Performance of Digital Devices in Healthcare Systems Based on Interval Valued T-Spherical Fuzzy Information
Author(s) -
Abrar Hussain,
Yu Liu,
Kifayat Ullah,
Alina Amjad,
Amrullah Awsar
Publication year - 2023
Publication title -
ieee access
Language(s) - English
Resource type - Journals
ISSN - 2169-3536
DOI - 10.1109/access.2023.3322300
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
The multi-attribute group decision-making (MAGDM) problem is used to evaluate suitable options based on specific attributes or characteristics of an object. The potential of the MAGDM problem is demonstrated in every field of life, like artificial intelligence, social and environmental science, networking, medical diagnosis, and many other domains. The essential components of the MAGDM technique are aggregation operators (AOs), which are developed by several mathematicians under the system of different fuzzy domains. In this article, we express the notion of an interval-valued t-spherical fuzzy (IVT-SF) set (IVT-SFS), which is an expansion of an intuitionistic fuzzy set and picture fuzzy sets with four characteristics of human opinions. An IVT-SFS is a well-known aggregation model that has a large capacity to deal with unpredictable and redundant information of human opinions. To mitigate the influence of redundant information, we illustrate some robust operations of Aczel Alsina aggregation tools in light of IVT-SF information. Power operators are used to reduce the impact of redundant information and also define correlation among different input arguments. By combining two different concepts like Aczel Alsina aggregation tools and power operators, we developed a class of new approaches based on IVT-SF information, namely IVT-SF Aczel Alsina power weighted average (IVT-SFAAPWA) and IVT-SF Aczel Alsina power weighted geometric (IVT-SFAAPWG) operators. In order to illustrate the effectiveness of the proposed approaches, some notable characteristics and properties are also presented. To resolve different real-life applications, we established an algorithm for the MAGDM problem in light of IVTSF information. We illustrate a numerical example to evaluate an appropriate optimal option for digital devices in the healthcare system. The advantages and consistency of derived approaches are verified by comparing the findings of existing methodologies with currently discussed AOs.