Research Article

An Application of Soft Multisets to a Decision-Making Problem Concerning Side Effects of COVID-19 Vaccines

Number: 35 June 30, 2021
EN

An Application of Soft Multisets to a Decision-Making Problem Concerning Side Effects of COVID-19 Vaccines

Abstract

Soft multi-criteria decision-making, a developing area, is among the most prevalent problems handled by researchers. This study aims to introduce a soft decision-making method and apply it to rank the side effects of COVID-19 vaccines. Based on the literature, the present study features the advantages and disadvantages of previously observed multi-criteria decision-making (MCDM) methods are summarized. This paper achieves to utilize multisets simultaneously with the known soft decision-making methods. The primary concern hereof is to offer an insightful everyday-life example. Finally, the authors discuss the need for further research.

Keywords

References

  1. N. Chauhan, P. Mohapatra, K. Pandey, Improving Energy Productivity in Paddy Production Through Benchmarking-An Application of Data Envelopment Analysis, Energy Conversion and Management 47(9-10) (2006) 1063-1085.
  2. E. K. Zavadskas, Z. Turskis, S. Kildienė, State of Art Surveys of Overviews on MCDM/MADM Methods, Technological and Economic Development of Economy 20(1) (2014) 165-179.
  3. M. M. Köksalan, J. Wallenius, S. Zionts, Multiple Criteria Decision Making: From Early History to the 21st Century, World Scientific (2011) https://doi.org/10.1142/8042
  4. R. Keeney, The Art of Assessing Multiattribute Utility Functions, Organizational Behavior and Human Performance 19(2) (1977) 267-310.
  5. C. L. Hwang, K. Yoon, Methods for Multiple Attribute Decision Making, In Multiple Attribute Decision Making (1981) Springer, Berlin, Heidelberg, pp. 58-191.
  6. G. H. Tzeng, C. H. Chiang, C. W. Li, Evaluating Intertwined Effects in E-Learning Programs: A Novel Hybrid MCDM Model Based on Factor Analysis and DEMATEL, Expert Systems with Applications 32(4) (2007) 1028-1044.
  7. X. S. Qin, G. H. Huang, A. Chakma, X. H. Nie, Q. G. Lin, A MCDM-Based Expert System for Climate-Change Impact Assessment and Adaptation Planning–A Case Study for The Georgia Basin, Canada, Expert Systems with Applications 34(3) (2008) 2164-2179.
  8. B. Roy, ELECTRE III: A Ranking Algorithm Based on A Fuzzy Representation of Preferences in the Presence of Multiple Criteria (In French) 20(1) (1978) 3-4.

Details

Primary Language

English

Subjects

Mathematical Sciences

Journal Section

Research Article

Publication Date

June 30, 2021

Submission Date

June 8, 2021

Acceptance Date

June 30, 2021

Published in Issue

Year 2021 Number: 35

APA
Kaya Pezük, Ş., & Senel, G. (2021). An Application of Soft Multisets to a Decision-Making Problem Concerning Side Effects of COVID-19 Vaccines. Journal of New Theory, 35, 103-113. https://doi.org/10.53570/jnt.949227
AMA
1.Kaya Pezük Ş, Senel G. An Application of Soft Multisets to a Decision-Making Problem Concerning Side Effects of COVID-19 Vaccines. JNT. 2021;(35):103-113. doi:10.53570/jnt.949227
Chicago
Kaya Pezük, Şeyda, and Guzide Senel. 2021. “An Application of Soft Multisets to a Decision-Making Problem Concerning Side Effects of COVID-19 Vaccines”. Journal of New Theory, nos. 35: 103-13. https://doi.org/10.53570/jnt.949227.
EndNote
Kaya Pezük Ş, Senel G (June 1, 2021) An Application of Soft Multisets to a Decision-Making Problem Concerning Side Effects of COVID-19 Vaccines. Journal of New Theory 35 103–113.
IEEE
[1]Ş. Kaya Pezük and G. Senel, “An Application of Soft Multisets to a Decision-Making Problem Concerning Side Effects of COVID-19 Vaccines”, JNT, no. 35, pp. 103–113, June 2021, doi: 10.53570/jnt.949227.
ISNAD
Kaya Pezük, Şeyda - Senel, Guzide. “An Application of Soft Multisets to a Decision-Making Problem Concerning Side Effects of COVID-19 Vaccines”. Journal of New Theory. 35 (June 1, 2021): 103-113. https://doi.org/10.53570/jnt.949227.
JAMA
1.Kaya Pezük Ş, Senel G. An Application of Soft Multisets to a Decision-Making Problem Concerning Side Effects of COVID-19 Vaccines. JNT. 2021;:103–113.
MLA
Kaya Pezük, Şeyda, and Guzide Senel. “An Application of Soft Multisets to a Decision-Making Problem Concerning Side Effects of COVID-19 Vaccines”. Journal of New Theory, no. 35, June 2021, pp. 103-1, doi:10.53570/jnt.949227.
Vancouver
1.Şeyda Kaya Pezük, Guzide Senel. An Application of Soft Multisets to a Decision-Making Problem Concerning Side Effects of COVID-19 Vaccines. JNT. 2021 Jun. 1;(35):103-1. doi:10.53570/jnt.949227

Cited By

 

TR Dizin 26024
 
Electronic Journals Library 13651
 
                                EBSCO 36309                                     DOAJ 33468
Scilit 20865                                                         SOBİAD 30256

 

29324 JNT is licensed under a Creative Commons Attribution-NonCommercial 4.0 International Licence (CC BY-NC)
 

The Journal of New Theory's website content and procedures are publicly accessible under the CC BY-NC license; commercial use requires our permission.