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作者:

Yang, Zaoli (Yang, Zaoli.) | Li, Xin (Li, Xin.) | Garg, Harish (Garg, Harish.) | Peng, Rui (Peng, Rui.) (学者:彭锐) | Wu, Shaomin (Wu, Shaomin.) | Huang, Lucheng (Huang, Lucheng.) (学者:黄鲁成)

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EI Scopus SCIE

摘要:

With the intensification of the aging, the health issue of the elderly is amusing public concern increasingly Various healthcare products for the elderly are emerging from the market, this how to select suitable aged healthcare product is critical to the wellbeing 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-RPtNoFIIM 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. (C) 2020 The Authors. Published by Atlantis Press B.V.

关键词:

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

作者机构:

  • [ 1 ] [Yang, Zaoli]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 2 ] [Li, Xin]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 3 ] [Peng, Rui]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 4 ] [Huang, Lucheng]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 5 ] [Garg, Harish]Thapar Inst Engn & Technol, Sch Math, Patiala 147004, Punjab, India
  • [ 6 ] [Wu, Shaomin]Univ Kent, Kent Business Sch, Canterbury CT2 7FS, Kent, England

通讯作者信息:

  • [Garg, Harish]Thapar Inst Engn & Technol, Sch Math, Patiala 147004, Punjab, India

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来源 :

INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS

ISSN: 1875-6891

年份: 2020

期: 1

卷: 13

页码: 1176-1197

2 . 9 0 0

JCR@2022

ESI学科: COMPUTER SCIENCE;

ESI高被引阀值:132

被引次数:

WoS核心集被引频次: 11

SCOPUS被引频次: 12

ESI高被引论文在榜: 0 展开所有

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中文被引频次:

近30日浏览量: 3

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