1 |
Hong CH, An SC. Isolation and stereotyping of Listeria monocytogenes in pork fabrication processing environment. J. Food Hyg. Safety 13: 425-429 (1998)
과학기술학회마을
|
2 |
Rho MJ, Chung MS, Lee JH, Park J. Monitoring of microbial hazards at farms, slaughterhouses. and processing lines of swine in Korea. J. Food Protect. 64: 1388-1391 (2001)
DOI
|
3 |
Rho MJ, Chung MS. Park JY. Predicting the contamination of Listeria monocytogenes and Yersinia enterocolotica in pork production using Monte Carlo simulation. Korean J. Food Sci. Technol. 35: 928-936 (2003)
과학기술학회마을
|
4 |
Davidson VJ, Ryks J. Comparison of Monte Carlo and Fuzzy math simulation methods for quantitative microbial risk assessment. J. Food Protect. 10: 1900-1910 (2003)
|
5 |
Poschet F, Geeraerd AH, Scheerlinck N, Nicolai BM, Van Impe JF. Monte Carlo analysis as a tool to incorporate variation on experimental data in predictive microbiology. Int. J. Food Microbiol. 20: 285-295 (2003)
DOI
ScienceOn
|
6 |
Lee SJ. Introduction about fuzzy theory. Food Sci. Ind. 33: 20-26 (2000)
|
7 |
Zimmermann HJ. Fuzzy Set Theory and its Applications. Kluwer Academic Publishers, MA, USA (1991)
|
8 |
Chen SJ, Hwang CL. Fuzzy Multiple Attribute Decision Making-Methods and Application. Springer, Berlin, Germany (1992)
|
9 |
Klir GJ, Folger TA. Fuzzy Set, Uncertainty and Information. Prentice-Hall International, Inc., London, UK (1988)
|
10 |
Zadeh LA. Outline of a new approach to the analysis of complex systems and decision processes. IEEE Trans. SMC. 3: 28-44 (1973)
|
11 |
Palisade. Guide to using @RISK: risk analysis and simulation add-in for Microsoft Excel, Vers. 4. Palisade Corp., Newfield, NY, USA (2000)
|
12 |
Hoornstra E. Notermars S. Quantitative microbiological risk assessment. Int. J. Food Microbiol. 66: 21 -29 (2001)
DOI
|
13 |
Quelch J, Cameron IT. Uncertainty representation and propagation in quantified risk assessment using fuzzy sets. J. Loss Prev. Process Ind. 7: 463-473 (1994)
DOI
ScienceOn
|
14 |
Zhang Q, Lichfield JB. Applying fuzzy mathematics to product development and comparison. Food Technol. 45: 108-112 (1991)
|
15 |
Giachetti RE, Young RE. Analysis of the error in the standard approximation of triangular and trapezoidal fuzzy numbers and the development of a new algorithm. Fuzzy Sets Sys. 91: 1-13 (1997)
DOI
ScienceOn
|
16 |
Kang HJ, Kim YH, Son GW. Contamination level of retail meat and chickens by quantitative test of food poisoning bacteria. J. Food Hyg. Safety 15: 204-208 (2000)
과학기술학회마을
|
17 |
George SM, Richardson LCC, Peck MW. Predictive models of the effect of temperature, pH and acetic and lactic acids on the growth of Listeria monocvtogenes. Int. J. Food Microbiol. 32: 73-90(1996)
DOI
ScienceOn
|
18 |
Chung MS, Lee SW, Park GY, Lee HH, Lee CS, Lee JH. Analysis of microbiological hazards at pork processing plants in Korea. Korean J. Food Sci. Anim. Resour. 19: 36-40 (1999)
|
19 |
Gill CO, Greer GG, Dilts BD. The aerobic growth of Aeromonas hydrophila and Listeria monocytogenes in broths and on pork. Int. J. Food Microbiol. 35: 67-74 (1997)
DOI
ScienceOn
|
20 |
Nauta MJ. Separation of uncertainty and variability in quantitative microbial risk assessment. Int. J. Food Microbiol. 57: 9-18 (2000)
DOI
ScienceOn
|