Assessing Environmental Risk is a technique for reducing the environmental effects of various events along with a bid to achieve long-term development. In assessing environmental risk, the probability impact matrix is commonly used. Furthermore, numerical values of probability and values of the impact of risk occurrence are difficult to calculate in the probability impact matrix method, and these factors are linked to uncertainty. When dealing with uncertain information, Evidence Theory is effective. And also, Neutrosophic logic has been designed to represent numerical simulations of uncertainty, ambiguity, and imprecise in data. Based on the Evidence Theory, this paper proposes a model for assessing environmental risks in banana production.

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An Evidential Model for Assessing Environmental Risks in Banana Production Using DS—Theory

  • D. Leonita,
  • R. Irene Hepzibah,
  • A. Nagoor Gani

摘要

Assessing Environmental Risk is a technique for reducing the environmental effects of various events along with a bid to achieve long-term development. In assessing environmental risk, the probability impact matrix is commonly used. Furthermore, numerical values of probability and values of the impact of risk occurrence are difficult to calculate in the probability impact matrix method, and these factors are linked to uncertainty. When dealing with uncertain information, Evidence Theory is effective. And also, Neutrosophic logic has been designed to represent numerical simulations of uncertainty, ambiguity, and imprecise in data. Based on the Evidence Theory, this paper proposes a model for assessing environmental risks in banana production.