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A fuzzy logic (FL)-based food security risk level assessment system is designed and is presented in this article. Three inputs—yield, production, and economic growth—are used to predict the level of risk associated with food supply. A number of previous studies have related food supply with risk assessment for particular types of food, but none of the work was specifically concerned with how the wider food chain might be affected. The system we describe here uses the Mamdani method. The resulting system can assess risk level against three grades: severe, acceptable, and good. The method is tested with UK (United Kingdom) cereal data for the period from 1988 to 2008. The approach is discussed on the basis that it could be used as a starting point in developing tools that may either assess current food security risk or predict periods or regions of impending pressure on food supply.
Highlights
In the context of this work, risk will be defined as the probability of a negative function which attempts to describe the possible adverse pressure on the system caused by a hazard (Meltzer et al 2003; Xiaojun et al 2008)
The Analysis Hierarchy Process (AHP) decision making technique in the construction industry is improving risk assessment, but it has a drawback in that it can only deal with definite scales and measured commodities
Given the multiple complexities involved in evaluating risk in food security and food supply chains, a Fuzzy Logic (FL) model was attempted by Xiaojun Wang, et al (Xiaojun et al 2008)
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Summary
Introduction
In the context of this work, risk will be defined as the probability of a negative function which attempts to describe the possible adverse pressure on the system caused by a hazard (Meltzer et al 2003; Xiaojun et al 2008). Risk assessment has become more and more important from a research perspective either in term of an area of application or from the society itself, and is considered a valuable tool in most studies in which food security projections are linked to decision support systems. The Analysis Hierarchy Process (AHP) decision making technique in the construction industry is improving risk assessment, but it has a drawback in that it can only deal with definite scales and measured commodities. The problem is, it cannot solve involve uncertainties and subjectivities (Peihong and Jiaqiong 2009). The application of FL to predict challenges to food security are evaluated in this paper
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Particular Types Of Food- Food Security Risk
- Assess Risk Level
- Food Supply
- Mamdani Method + Show 5 more
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