Journal article
A multi-granularity proportional hesitant fuzzy linguistic TODIM method and its application to emergency decision making
International journal of disaster risk reduction, v 36, 101081
May 2019
Abstract
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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Details
- Title
- A multi-granularity proportional hesitant fuzzy linguistic TODIM method and its application to emergency decision making
- Creators
- Yingying Liang - Wuhan University of TechnologyYan Tu - Wuhan University of TechnologyYanbing Ju - Beijing Institute of TechnologyWenjing Shen - Drexel University
- Publication Details
- International journal of disaster risk reduction, v 36, 101081
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Decision Sciences (and Management Information Systems)
- Web of Science ID
- WOS:000466496900028
- Scopus ID
- 2-s2.0-85062665030
- Other Identifier
- 991019167449404721
InCites Highlights
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Geosciences, Multidisciplinary
- Meteorology & Atmospheric Sciences
- Water Resources