2006
DOI: 10.1016/j.fss.2005.12.013
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Fuzzy concepts applied to food product quality control: A review

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Cited by 87 publications
(47 citation statements)
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References 71 publications
(82 reference statements)
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“…The methodology was introduced to cope with vagueness in linguistics and the challenges of expressing human 'knowledge' in a natural, but generally imprecise way (Haslum et al 2007). Most of the applications that involved FL were based on its reasoning process and its ability to express outputs in understandable terms (Perrot et al 2006). Given the multiple complexities involved in evaluating risk in food security and food supply chains, a FL model was attempted by Xiaojun Wang, et al (Xiaojun et al 2008).…”
Section: -Methodologymentioning
confidence: 99%
“…The methodology was introduced to cope with vagueness in linguistics and the challenges of expressing human 'knowledge' in a natural, but generally imprecise way (Haslum et al 2007). Most of the applications that involved FL were based on its reasoning process and its ability to express outputs in understandable terms (Perrot et al 2006). Given the multiple complexities involved in evaluating risk in food security and food supply chains, a FL model was attempted by Xiaojun Wang, et al (Xiaojun et al 2008).…”
Section: -Methodologymentioning
confidence: 99%
“…There is a collection of papers that are written in the topic of "fuzzy logic and the quality control of the food" classified by Perrot et al (2006) . Only forty of which are on the subject of Supervision Decision help system control.…”
Section: Fuzzy Logic Control For Food Processingmentioning
confidence: 99%
“…Managing the properties of food starting from the input stage with the aim of controlling them is not an easy task for several reasons (Perrot et al (2006), Welti et al 2002):…”
Section: Food Processing Controlmentioning
confidence: 99%
“…Uncertain availability of nutritious and safe foods is also called food insecurity that can be measured by risk level of food security. Nowadays, the fuzzy set theory is one of the important tools for determination of the risk level of food security and also for risk management [10][11][12][13][14][15][16]. Wang et al [10] considered the combination of the fuzzy set theory and analytical hierarchy process for a risk assessment.…”
Section: Introductionmentioning
confidence: 99%
“…Using fuzzy set theory and Dempster-Shafer evidence theory, Xu et al [12] proposed a fuzzy evidential grain security warning method for food management. In the research works [10][11][12][13][14], using various factors the design of fuzzy rules is performed for management of the risk. Kadir et al [15] designed a fuzzy system for assessment of food security risk level.…”
Section: Introductionmentioning
confidence: 99%