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A Novel Decision-Making Framework for Addressing Digitalization Solutions in the Medical System Under Generalized Fuzzy Rough Information
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Author(s): Pushan Kumar Dutta (School of Engineering and Technology, Amity University, Kolkata, India)and Atta Ullah (University of Chitral, Pakistan)
Copyright: 2024
Pages: 10
Source title:
Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT)
Source Author(s)/Editor(s): Ahdi Hassan (Global Institute for Research Education and Scholarship, The Netherlands), Pronaya Bhattacharya (Amity University, Kolkata, India), Subrata Tikadar (Amity University, Kolkata, India), Pushan Kumar Dutta (Amity University, Kolkata, India)and Martin Sagayam (Karunya Institute of Technology and Sciences, India)
DOI: 10.4018/979-8-3693-2109-6.ch003
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Abstract
In this study, the authors are interested in exploring the existing concepts of fuzzy sets, intuitionistic fuzzy sets, Pythagorean fuzzy sets, q-rung orthopair fuzzy sets, hesitant fuzzy sets, and fuzzy rough sets in order to reduce the difficulty of their capabilities and will point out the possible limitations and advantages in order to develop new structures of q-rung orthopair hesitant fuzzy rough sets, complex q-rung orthopair hesitant fuzzy rough sets, and complex q-rung orthopair probabilistic hesitant fuzzy rough sets and their basic results. The authors will also develop some new extensions to the existing literature and then compare the results with the existing notions. They will also do some work on the graphical features of existing literature and try to introduce some novel graph theoretic concepts for new generalities.
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