4.7 Article

Sustainable shelter-site selection under uncertainty: A rough QUALIFLEX method

Journal

COMPUTERS & INDUSTRIAL ENGINEERING
Volume 128, Issue -, Pages 371-386

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cie.2018.12.053

Keywords

Shelter-site location; Multi-criteria decision making; Rough number; QUALIFLEX

Funding

  1. National Natural Science Foundation of China [71471007, 71501006]
  2. Fundamental Research Funds for the Central Universities

Ask authors/readers for more resources

In recent years, nature disasters have been observed with larger scale and stronger lethality than before. As one of the most crucial links of humanitarian relief operation, shelter site selection has been paid notable attention by the researchers. Nevertheless, subjectivity and vagueness of realistic environment is neglected consequently in most of the previous literature which aims at solving facility location selection problems. Besides, prevailing MCDM methods utilized in related work have poor mechanism dealing with inconsistent data, meanwhile, they are commonly lack of flexibility. In view of the above mentioned facts, an innovative integrated method is developed in this paper. The proposed approach combines the strength of the qualitative flexible multiple criteria (QUALIFLEX) method in manipulating multiple evaluation criteria with heterogeneity and the advantages of interval rough number in blurry information environment. Moreover, social and environmental aspects which are of great significance whereas rarely mentioned are taken into consideration when shelter sites are evaluated. The competence and feasibility of the proposed method is illustrated in a case study in the settings of Wenchuan County, where a serious earthquake struck on 12th May 2008. To verify the validity of the proposed method, a comparative analysis with other related methodologies is provided.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available