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HFMADM method based on nondimensionalization and its application in the evaluation of inclusive growth

Liu, Xiaodi; Wang, Zengwen and Hetzler, Antoinette LU (2017) In Journal of Business Economics and Management 18(4). p.726-744
Abstract

Inclusive growth, which encompasses different aspects of life, is a growth pattern that allows all people to participate in and contribute to growth process. In this paper, a novel hesitant fuzzy multiple attribute decision making (HFMADM) approach based on the nondimensionalization of decision making attributes is presented and then applied to the evaluation of inclusive growth in China. Firstly, a novel generalized hesitant fuzzy distance measure is proposed to calculate the difference and deviation between two hesitant fuzzy elements (HFEs) without adding any values into the shorter hesitant fuzzy element. Secondly, the coefficient of variation and efficacy coefficient method are extended to accommodate hesitant fuzzy environment and... (More)

Inclusive growth, which encompasses different aspects of life, is a growth pattern that allows all people to participate in and contribute to growth process. In this paper, a novel hesitant fuzzy multiple attribute decision making (HFMADM) approach based on the nondimensionalization of decision making attributes is presented and then applied to the evaluation of inclusive growth in China. Firstly, a novel generalized hesitant fuzzy distance measure is proposed to calculate the difference and deviation between two hesitant fuzzy elements (HFEs) without adding any values into the shorter hesitant fuzzy element. Secondly, the coefficient of variation and efficacy coefficient method are extended to accommodate hesitant fuzzy environment and then used to cope with HFMADM. In the analysis process, non-dimensional treatment for hesitant fuzzy decision data is produced. Lastly, the method proposed in this paper is applied to an example of inclusive growth evaluation problem under hesitant fuzzy environment and the case study illustrates the practicality of the proposed method. Beyond that, a comparative analysis with some other approaches is also conducted to demonstrate the superiority and feasibility of the proposed method.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
coefficient of variation, distance measure, efficacy coefficient, hesitant fuzzy set, inclusive growth, multiple attribute decision making, nondimensionalization
in
Journal of Business Economics and Management
volume
18
issue
4
pages
19 pages
publisher
Taylor & Francis
external identifiers
  • scopus:85028544565
  • wos:000408730100009
ISSN
1611-1699
DOI
10.3846/16111699.2017.1341848
language
English
LU publication?
yes
id
c98ce8cd-7851-4bea-99a2-206229f57358
date added to LUP
2017-09-27 12:32:55
date last changed
2018-01-16 13:27:08
@article{c98ce8cd-7851-4bea-99a2-206229f57358,
  abstract     = {<p>Inclusive growth, which encompasses different aspects of life, is a growth pattern that allows all people to participate in and contribute to growth process. In this paper, a novel hesitant fuzzy multiple attribute decision making (HFMADM) approach based on the nondimensionalization of decision making attributes is presented and then applied to the evaluation of inclusive growth in China. Firstly, a novel generalized hesitant fuzzy distance measure is proposed to calculate the difference and deviation between two hesitant fuzzy elements (HFEs) without adding any values into the shorter hesitant fuzzy element. Secondly, the coefficient of variation and efficacy coefficient method are extended to accommodate hesitant fuzzy environment and then used to cope with HFMADM. In the analysis process, non-dimensional treatment for hesitant fuzzy decision data is produced. Lastly, the method proposed in this paper is applied to an example of inclusive growth evaluation problem under hesitant fuzzy environment and the case study illustrates the practicality of the proposed method. Beyond that, a comparative analysis with some other approaches is also conducted to demonstrate the superiority and feasibility of the proposed method.</p>},
  author       = {Liu, Xiaodi and Wang, Zengwen and Hetzler, Antoinette},
  issn         = {1611-1699},
  keyword      = {coefficient of variation,distance measure,efficacy coefficient,hesitant fuzzy set,inclusive growth,multiple attribute decision making,nondimensionalization},
  language     = {eng},
  month        = {07},
  number       = {4},
  pages        = {726--744},
  publisher    = {Taylor & Francis},
  series       = {Journal of Business Economics and Management},
  title        = {HFMADM method based on nondimensionalization and its application in the evaluation of inclusive growth},
  url          = {http://dx.doi.org/10.3846/16111699.2017.1341848},
  volume       = {18},
  year         = {2017},
}