Journal
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
Volume 36, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.ijdrr.2019.101081
Keywords
Multi-granularity; Proportional hesitant fuzzy linguistic set; TODIM method; Emergency decision making
Funding
- National Natural Science Foundation of China [71801177]
- Humanity and Social Sciences Research Project, Ministry of Education of China [18YJC630163]
- Research Center for Systems Science & Enterprise Development [Xq17B07]
- Fundamental Research Funds for the Central Universities
- WUT [2018VI068, WUT: 2019IVB001]
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Proportional hesitant fuzzy linguistic sets (PHFLSs), is a good way of representing uncertain assessment of decision makers. This paper focuses on extending the Interactive and Multiple Attribute Decision Making (TODIM) method into multi-granularity PHFLSs environment. We first propose a new ranking method and a normalized Hamming distance measure of multi-granularity PHFLSs, which can be used to measure and compare multi-granularity PHFLSs and is associated with lower computational complexity. Next, we develop the multi-granularity proportional hesitant linguistic TODIM approach, where the criteria weights are derived by using incomplete weight information. Finally, a case study on mine emergency decision making problem is presented to demonstrate the effectiveness of the proposed method.
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