HFMADM METHOD BASED ON NONDIMENSIONALIZATION AND ITS APPLICATION IN THE EVALUATION OF INCLUSIVE GROWTH

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 maki...

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Bibliographic Details
Published in:Journal of business economics and management 2017-07, Vol.18 (4), p.726-744
Main Authors: Liu, Xiaodi, Wang, Zengwen, Hetzler, Antoinette
Format: Article
Language:English
Subjects:
Business Administration
Business Economy / Management
coefficient of variation
distance measure
Economics and Business
efficacy coefficient
Ekonomi och näringsliv
Företagsekonomi
hesitant fuzzy set
inclusive growth
Methodology and research technology
multiple attribute decision making
ndimensionalization, distance measure
nondimensionalization
Samhällsvetenskap
Social Sciences
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Summary: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.
ISSN:1611-1699
2029-4433
DOI:10.3846/16111699.2017.1341848