Fuzzy and Neutrosophic Multi-Criteria Risk Management
Abstract
Risk Management is the process of identifying, assessing, and mitigating potential losses to minimize
the impact on organizational objectives[1, 2]. Fuzzy risk management uses fuzzy sets to represent vague
likelihood and impact, then ranks and mitigates risks under imprecise information. Neutrosophic risk
management models each risk with truth, indeterminacy, and falsity degrees, enabling decisions when
data are conflicting or incomplete. In this paper, we define Multi-Criteria Risk Management, Fuzzy
Multi-Criteria Risk Management, and Neutrosophic Multi-Criteria Risk Management, and we investigate
their fundamental properties. In future work, we expect that domain experts will evaluate and validate
the proposed models and concepts.
Keywords:
Fuzzy Multi-Criteria Risk Management, Multi-Criteria Risk Management, Fuzzy Set, Neutrosophic Multi-Criteria Risk Management, Neutrosophic SetReferences
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