Multi-expert disaster risk management & response capabilities assessment using interval-valued intuitionistic fuzzy sets
Küçük Resim Yok
Tarih
2020
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ios Press
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This study focuses on the evaluation of disaster risk management and response (DRMR) processes and capabilities using a multi-expert multi-criteria decision making (MCDM) framework. The proposed framework considers four sets of evaluation and performance criteria: risk knowledge and organization, risk reduction, disaster response management, and disaster response support; and 22 sub-criteria such as regulating risk management, financial management, energy, and public safety. To contend with random perception and utility, lack of information and subjectivity in the human (expert) judgment processes that could be present in expert-based models, the authors propose an interval-valued intuitionistic fuzzy sets (IVIFSs) approach. IVIFSs can handle high levels of uncertainty and define appropriate membership functions. Specifically, the proposed approach incorporates score judgement and possibility degree matrices, and estimates the local and global weights for each assessment criteria. And finally, evaluates the overall performances of the alternatives using intuitionistic fuzzy Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) approach. The authors implemented the framework to the Atlantico State of Colombia, and assessed the disaster risk management and response processes for each for the State's 23 municipalities. The authors discuss sensitivity analysis that illustrates the robustness of the results.
Açıklama
13th International FLINS Conference on Uncertainity Modeling in Knowledge Engineering and Decision Making (FLINS) -- AUG 21-24, 2018 -- Belfast, NORTH IRELAND
Anahtar Kelimeler
Disaster Management, Risk Management, İnterval-Valued İntuitionistic Fuzzy Sets, Mcdm, Topsıs, Multicriteria Decision-Making, Performance, Ahp
Kaynak
Journal of Intelligent & Fuzzy Systems
WoS Q Değeri
N/A
Scopus Q Değeri
Q2
Cilt
38
Sayı
1
