q-Rung Orthopair Fuzzy Modified Dissimilarity Measure Based Robust VIKOR Method and its Applications in Mass Vaccination Campaigns in the Context of COVID-19

Muhammad Jabir Khan; Muhammad Irfan Ali; Poom Kumam; Wiyada Kumam; Ahmad N. Al-Kenani

doi:10.1109/ACCESS.2021.3091179

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q-Rung Orthopair Fuzzy Modified Dissimilarity Measure Based Robust VIKOR Method and its Applications in Mass Vaccination Campaigns in the Context of COVID-19

Journal article

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q-Rung Orthopair Fuzzy Modified Dissimilarity Measure Based Robust VIKOR Method and its Applications in Mass Vaccination Campaigns in the Context of COVID-19

Muhammad Jabir Khan, Muhammad Irfan Ali, Poom Kumam, Wiyada Kumam and Ahmad N. Al-Kenani

IEEE access, Vol.9, pp.93497-93515

01/01/2021

DOI: https://doi.org/10.1109/ACCESS.2021.3091179

Abstract

Computer Science

Computer Science, Information Systems

Engineering

Engineering, Electrical & Electronic

Science & Technology

Technology

Telecommunications

A new inclusion called total inclusion relation has improved the existing dissimilarity measure for q-rung orthopair fuzzy sets (qROFSs). For qROFSs, the modified axiomatic definition of dissimilarity measure is proposed. The modified Hamming and Euclidean dissimilarity measures are defined. An algorithmic procedure for a robust VIKOR method based on modified dissimilarity measures is established. The application of the robust VIKOR method in Mass Vaccination Campaigns (MVCs) in the COVID-19 situation is given.

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Title: q-Rung Orthopair Fuzzy Modified Dissimilarity Measure Based Robust VIKOR Method and its Applications in Mass Vaccination Campaigns in the Context of COVID-19
Creators - without role: Muhammad Jabir Khan - King Mongkut's University of Technology Thonburi
Muhammad Irfan Ali - University College of Islamabad
Poom Kumam - King Mongkut's University of Technology Thonburi
Wiyada Kumam - Rajamangala University of Technology
Ahmad N. Al-Kenani - King Abdulaziz University
Publication Details: IEEE access, Vol.9, pp.93497-93515
Publisher: IEEE
Number of pages: 19
Grant note: 64A306000005 / Thailand Science Research and Innovation (TSRI) Basic Research Fund 39/2561 / Petchra Pra Jom Klao doctoral scholarship KMUTT
Identifiers: 9938948808331
Academic Unit: King Abdulaziz University
Language: English
Resource Type: Journal article