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[PDF] Top 20 Food security risk level assessment : a fuzzy logic based approach

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Food security risk level assessment : a fuzzy logic based approach

Food security risk level assessment : a fuzzy logic based approach

... A fuzzy logic (FL) based food security risk level assessment system is design in this ...the level of risk associated with food ...related ... See full document

30

Food security modelling using two stage hybrid model and fuzzy logic risk assessment

Food security modelling using two stage hybrid model and fuzzy logic risk assessment

... the food-related area with IS as the technique employed, which is only a sub-area of the study of food ...at food security in its ...of food by using a fuzzy set in considering ... See full document

237

Fuzzy Logic Composite Criteria Based Power System Security Assessment Using ANN and SVM

Fuzzy Logic Composite Criteria Based Power System Security Assessment Using ANN and SVM

... Many power system problems are solved by pattern classification approach. Classification is done by training the data set. From this we can assess system security in a short period of time. With the ... See full document

8

Population food security assessment – a methodological approach

Population food security assessment – a methodological approach

... low level of incomes of certain significant population categories, by poverty, inequalities and social exclusion, which constrain the population’s economic access to ...place, food security is also ... See full document

8

Power System Analysis based on Dynamic Security Assessment Using Fuzzy Logic

Power System Analysis based on Dynamic Security Assessment Using Fuzzy Logic

... Security of power system is important now a day. Security assessment has always been an important topic in power system ...its security, which can result in general consequences, such as ... See full document

5

Systemic Approach for Health Risk Assessment of Ambient Air Concentrations of Benzene in Petrochemical Environments: In-tegration of Fuzzy Logic, Artificial Neural Network, and IRIS Toxicity Method

Systemic Approach for Health Risk Assessment of Ambient Air Concentrations of Benzene in Petrochemical Environments: In-tegration of Fuzzy Logic, Artificial Neural Network, and IRIS Toxicity Method

... health risk; meanwhile, this is the possibility of leukemia existence after chronic occupational contact with benzene due to measured concen- ...individual risk will be calcu- lated by combining USEPA ... See full document

11

A case study on fuzzy logic based risk 
		assessment in oil and gas industry

A case study on fuzzy logic based risk assessment in oil and gas industry

... a fuzzy logic-based risk assessment model has been proposed for oil and gas industries to categorize the risk level and assist to mitigate the risk ranking ties of ... See full document

6

Application of Fuzzy Logic in Oral Cancer Risk Assessment

Application of Fuzzy Logic in Oral Cancer Risk Assessment

... Fuzzy logic is a superset of the conventional logic coined in 1965 and used in mathematics and Sys- tems Theory under the name of “fuzzy” ...a fuzzy set represents a completely new ... See full document

8

INTERACTING THROUGH DISCLOSING: PEER INTERACTION PATTERNS BASED ON 
SELF DISCLOSURE LEVELS VIA FACEBOOK

INTERACTING THROUGH DISCLOSING: PEER INTERACTION PATTERNS BASED ON SELF DISCLOSURE LEVELS VIA FACEBOOK

... project risk assessment. However, in practice, risk is assessed at the later stages of project development (design and ...system risk is defined as the combination of probable negative events ... See full document

11

A Fuzzy Logic Based Food Security Risk Level Assessment

A Fuzzy Logic Based Food Security Risk Level Assessment

... World Food Summit that was organized in 1996, food security came to be defined as a state where “all people at all times have access to sufficient, safe, nutritious food to maintain a healthy ... See full document

5

Image  Quality Assessment based on Fuzzy Logic

Image Quality Assessment based on Fuzzy Logic

... Digital images are represented using a finite number of intensity levels. For example, gray scale images with 8 bits/pixel are represented by 256 intensity levels, where 0 corresponds to the darkest level and 255 ... See full document

5

Water Scarcity: Impacts on Food security at Macro, Meso and Micro levels in Pakistan

Water Scarcity: Impacts on Food security at Macro, Meso and Micro levels in Pakistan

... in food grain production could be achieved through the expansion of existing irrigation infrastructure, control of population, increased crop yield, development and management of water resources and the ... See full document

44

Application of Cloud Model in Operational Risk Assessment of Urban Rail Transit

Application of Cloud Model in Operational Risk Assessment of Urban Rail Transit

... operational risk of urban rail transit is also ...the risk severity level of the urban rail transit, the author put forward a method based on combination weight and cloud ...the risk ... See full document

5

E-learning support to the onboard marine engineer : towards an integrated model

E-learning support to the onboard marine engineer : towards an integrated model

... • Management, engineering, and operation of the system: It is obvious that the safety performance of the system is determined by the internal factors within the system and the external factors from the circumstance where ... See full document

100

The Survey on Fuzzy Logic: A Soft Computing Approach for Network Security

The Survey on Fuzzy Logic: A Soft Computing Approach for Network Security

... On this paper, we will be able to review the most important factors of smooth computing ways embracing artificial neural network, fuzzy logic, genetic algorithm and probabilistic common sense system. ... See full document

5

A Practical approach on MLQ– fuzzy logic in...

A Practical approach on MLQ– fuzzy logic in...

... The priority scheduling algorithm selects its next job based on the importance of the process. The job that has the highest priority (0 high: 9 low) is run first. If preemption is enabled the new jobs with a ... See full document

11

A Hybrid Approach of Traffic Flow Prediction Using Wavelet Transform and Fuzzy Logic

A Hybrid Approach of Traffic Flow Prediction Using Wavelet Transform and Fuzzy Logic

... There are a lot of methods developed to cope with data uncertainty such as probability theory, the Bayesian network, Markov model, etc. Instead of using real correct number, probabilities of the value being correct can ... See full document

75

Method of Information Security Risk Assessment Based on Improved Fuzzy Theory of Evidence

Method of Information Security Risk Assessment Based on Improved Fuzzy Theory of Evidence

... for security risk assessment indices in infor- mation systems based on combined weight assignment method are as ...system security, and ob- tain the membership matrix of all ...the ... See full document

9

Risk assessment in power system using multi criteria decision making (MCDM) methods

Risk assessment in power system using multi criteria decision making (MCDM) methods

... and security in a power system (Billinton & Li, 1994), (Billinton, Firuzabad & Aboreshaid, ...points. Security relates to the ability of the system to withstand unexpected failures and continue ... See full document

42

Design And Development Of Fuzzy Logic Based Level
Controller

Design And Development Of Fuzzy Logic Based Level Controller

... The AVERAGING method is another approach that works but fails to give increased weighting to more rule votes per output member function. For example, if three "negative “rules fire, but only one” zero rules ... See full document

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