Group Decision Algorithm for Aged Healthcare Product Purchase Under q-Rung Picture Normal Fuzzy Environment Using Heronian Mean Operator

Authors

Zaoli Yang¹, Xin Li^1, , Harish Garg^{2, *,} , Rui Peng¹, Shaomin Wu³, Lucheng Huang¹

¹College of Economics and Management, Beijing University of Technology, Beijing 100124, China

²School of Mathematics, Thapar Institute of Engineering and Technology, Deemed University, Patiala 147004, India

³Kent Business School, University of Kent, Canterbury, Kent CT2 7FS, United Kingdom

^*Corresponding author. Email: harishg58iitr@gmail.com

DOI

10.2991/ijcis.d.200803.001How to use a DOI?

Keywords

Aged healthcare product purchase; Group decision-making; q-rung picture normal fuzzy sets; Heronian mean operators

Abstract

With the intensification of the aging, the health issue of the elderly is arousing public concern increasingly. Various healthcare products for the elderly are emerging from the market, thus how to select suitable aged healthcare product is critical to the well-being of the elderly. In the literature, nonetheless, a comprehensive and standardized evaluation framework to support healthcare product purchase decision for the aged is currently lacking. This paper proposes a novel group decision-making method to aid the decision-making of aged healthcare product purchase based on q-rung picture normal fuzzy Heronian mean (q-RPtNoFHM) operators. In it, firstly, a new fuzzy variable called the q-rung picture normal fuzzy set (q-RPtNoFS) is defined to reasonably describe different responses to healthcare product evaluation, for which, some definitions including operational laws, a score function, and an accuracy function of q-RPtNoFSs are introduced. Then, two q-RPtNoFHM operators are presented to aggregate group decision information. In addition, some properties of q-RPtNoFHM operators, such as monotonicity, commutativity, and idempotency, are discussed. Finally, an example on antihypertensive drugs purchase is gave to illustrate the practicality of the proposed method, and conduct sensitivity analysis to analyze the effectiveness and flexibility of proposed methods.

Copyright

© 2020 The Authors. Published by Atlantis Press B.V.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Zaoli Yang
AU  - Xin Li
AU  - Harish Garg
AU  - Rui Peng
AU  - Shaomin Wu
AU  - Lucheng Huang
PY  - 2020
DA  - 2020/08/18
TI  - Group Decision Algorithm for Aged Healthcare Product Purchase Under q-Rung Picture Normal Fuzzy Environment Using Heronian Mean Operator
JO  - International Journal of Computational Intelligence Systems
SP  - 1176
EP  - 1197
VL  - 13
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.200803.001
DO  - 10.2991/ijcis.d.200803.001
ID  - Yang2020
ER  -