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Volumn , Issue , 2014, Pages 85-136

Ideal profiling

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EID: 84929483065     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1201/b16853     Document Type: Chapter
Times cited : (8)

References (51)
  • 1
    • 84860784569 scopus 로고
    • Sweetness and food selection: Measurement of sweeteners’ effects on acceptance
    • ed. J. Dobbing, London, U.K.: Springer-Verlag
    • Booth, D.A., Conner, M.T., and Marie, S. 1987. Sweetness and food selection: Measurement of sweeteners’ effects on acceptance. In Sweetness, ed. J. Dobbing, pp. 143-160. London, U.K.: Springer-Verlag.
    • (1987) Sweetness , pp. 143-160
    • Booth, D.A.1    Conner, M.T.2    Marie, S.3
  • 2
    • 0012404968 scopus 로고    scopus 로고
    • Principal component analy-sis in sensory analysis: Covariance or correlation matrix?
    • Borgognone, M.G., Bussi, J., and Hough, G. 2001. Principal component analy-sis in sensory analysis: Covariance or correlation matrix? Food Quality and Preference 12: 323-326.
    • (2001) Food Quality and Preference , vol.12 , pp. 323-326
    • Borgognone, M.G.1    Bussi, J.2    Hough, G.3
  • 4
    • 84867596367 scopus 로고    scopus 로고
    • Construction and evaluation of confidence ellipses applied at sensory data
    • Cadoret, M. and Husson, F. 2012. Construction and evaluation of confidence ellipses applied at sensory data. Food Quality and Preference 28: 106-115.
    • (2012) Food Quality and Preference , vol.28 , pp. 106-115
    • Cadoret, M.1    Husson, F.2
  • 5
    • 67349158073 scopus 로고    scopus 로고
    • A Factorial Approach for Sorting Task data (FAST)
    • Cadoret, M., Lê, S., and Pagès, J. 2009. A Factorial Approach for Sorting Task data (FAST). Food Quality and Preference 20: 410-417.
    • (2009) Food Quality and Preference , vol.20 , pp. 410-417
    • Cadoret, M.1    Lê, S.2    Pagès, J.3
  • 6
    • 79953286422 scopus 로고    scopus 로고
    • Statistical analysis of hierarchical sorting data
    • Cadoret, M., Lê, S., and Pagès, J. 2011. Statistical analysis of hierarchical sorting data. Journal of Sensory Studies 26: 96-105.
    • (2011) Journal of Sensory Studies , vol.26 , pp. 96-105
    • Cadoret, M.1    Lê, S.2    Pagès, J.3
  • 8
    • 0002040445 scopus 로고
    • Ratios of ideals-A new twist to an old idea
    • ASTM STP 1035, ed. L.S. Wu, Philadelphia, PA: American Society for Testing and Materials
    • Cooper, H.R., Earle, M.D., and Triggs, C.M. 1989. Ratios of ideals-A new twist to an old idea. In Product Testing with Consumers for Research Guidance. ASTM STP 1035, ed. L.S. Wu, pp. 54-63. Philadelphia, PA: American Society for Testing and Materials.
    • (1989) Product Testing with Consumers for Research Guidance , pp. 54-63
    • Cooper, H.R.1    Earle, M.D.2    Triggs, C.M.3
  • 9
    • 0036221988 scopus 로고    scopus 로고
    • A comparison of 14 jams characterized by conventional profile and a quick original method, the Flash Profile
    • Dairou, V. and Sieffermann, J.M. 2002. A comparison of 14 jams characterized by conventional profile and a quick original method, the Flash Profile. Journal of Food Science 67: 826-834.
    • (2002) Journal of Food Science , vol.67 , pp. 826-834
    • Dairou, V.1    Sieffermann, J.M.2
  • 10
    • 0010438956 scopus 로고    scopus 로고
    • Quadratic model in preference mapping
    • Copenhagen, Denmark, August 1998
    • Danzart, M. 1998. Quadratic model in preference mapping. Fourth Sensometric Meeting, Copenhagen, Denmark, August 1998.
    • (1998) Fourth Sensometric Meeting
    • Danzart, M.1
  • 11
    • 84879305613 scopus 로고    scopus 로고
    • Cartographie des préférences
    • 3rd edn., ed. SSHA, Paris, France: Lavoisier
    • Danzart, M. 2009. Cartographie des préférences. In Evaluation sensorielle, manuel méthodologique, 3rd edn., ed. SSHA, pp. 443-450. Paris, France: Lavoisier.
    • (2009) Evaluation sensorielle, manuel méthodologique , pp. 443-450
    • Danzart, M.1
  • 12
    • 84863495710 scopus 로고    scopus 로고
    • Rapid descriptive sensory methods: Comparison of free multiple sort-ing, partial napping, napping, flash profiling and conventional profiling
    • Dehlholm, C., Brockhoff, P.B., Meinert, L., Aaslyng, M.D., and Bredie, W.L.P. 2012. Rapid descriptive sensory methods: Comparison of free multiple sort-ing, partial napping, napping, flash profiling and conventional profiling. Food Quality and Preference 26: 267-277.
    • (2012) Food Quality and Preference , vol.26 , pp. 267-277
    • Dehlholm, C.1    Brockhoff, P.B.2    Meinert, L.3    Aaslyng, M.D.4    Bredie, W.L.P.5
  • 13
    • 85054442631 scopus 로고    scopus 로고
    • Revisiting the definition of preference in preference mapping studies
    • Paris, France
    • Delarue, J., Danzart, M., and Sieffermann, J.M. 2010. Revisiting the definition of preference in preference mapping studies. In KEER 2010 Proceedings, Paris, France.
    • (2010) KEER 2010 Proceedings
    • Delarue, J.1    Danzart, M.2    Sieffermann, J.M.3
  • 14
    • 70350592619 scopus 로고    scopus 로고
    • Analytic approaches to accounting for individual ideal point
    • Ennis, D.M. 2005. Analytic approaches to accounting for individual ideal point. IFPress 82: 2-3.
    • (2005) IFPress , vol.82 , pp. 2-3
    • Ennis, D.M.1
  • 15
    • 84868626363 scopus 로고
    • New product development
    • Hoggan, J. 1975. New product development. MBAA Technical Quarterly 12: 81-86.
    • (1975) MBAA Technical Quarterly , vol.12 , pp. 81-86
    • Hoggan, J.1
  • 16
    • 84861682955 scopus 로고    scopus 로고
    • Principal component methods-Hierarchical clustering-partitional clustering: Why would we need to choose for visualizing data?
    • retrieved from, retrieved October 30, 2012
    • Husson, F., Josse, J., and Pagès, J. 2010. Principal component methods-Hierarchical clustering-partitional clustering: Why would we need to choose for visualizing data? Technical Report-Agro campus, retrieved from http://www.agrocampus-ouest.fr/math (retrieved October 30, 2012).
    • (2010) Technical Report-Agro campus
    • Husson, F.1    Josse, J.2    Pagès, J.3
  • 18
    • 0012363083 scopus 로고    scopus 로고
    • Which value can be granted to sensory profiles given by consumers? Methodology and results
    • Husson, F., Le Dien, S., and Pagès, J. 2001. Which value can be granted to sensory profiles given by consumers? Methodology and results. Food Quality and Preference 12: 291-296.
    • (2001) Food Quality and Preference , vol.12 , pp. 291-296
    • Husson, F.1    Le Dien, S.2    Pagès, J.3
  • 19
    • 12144250297 scopus 로고    scopus 로고
    • Confidence ellipse for the sensory profiles obtained with principal component analysis
    • Husson, F., Le Dien, S., and Pagès, J. 2005. Confidence ellipse for the sensory profiles obtained with principal component analysis. Food Quality and Preference 16: 245-250.
    • (2005) Food Quality and Preference , vol.16 , pp. 245-250
    • Husson, F.1    Le Dien, S.2    Pagès, J.3
  • 20
    • 0024394928 scopus 로고
    • Exploration of fragrance categories and ambiguous odors using multidimensional scaling and cluster analysis
    • Lawless, H.T. 1989. Exploration of fragrance categories and ambiguous odors using multidimensional scaling and cluster analysis. Chemical Senses 14: 349-360.
    • (1989) Chemical Senses , vol.14 , pp. 349-360
    • Lawless, H.T.1
  • 21
    • 38849152876 scopus 로고    scopus 로고
    • SensoMineR: A package for sensory data analysis
    • Lê, S. and Husson, F. 2008. SensoMineR: A package for sensory data analysis. Journal of Sensory Studies 23: 14-25.
    • (2008) Journal of Sensory Studies , vol.23 , pp. 14-25
    • Lê, S.1    Husson, F.2
  • 23
    • 84977710983 scopus 로고
    • Designs to bal-ance the effect of order of presentation and first-order carry-over effects in hall tests
    • MacFie, H.J., Bratchell, N., Greenhoff, K., and Vallis, L.V. 1989. Designs to bal-ance the effect of order of presentation and first-order carry-over effects in hall tests. Journal of Sensory Studies 4: 129-148.
    • (1989) Journal of Sensory Studies , vol.4 , pp. 129-148
    • MacFie, H.J.1    Bratchell, N.2    Greenhoff, K.3    Vallis, L.V.4
  • 24
    • 35848932320 scopus 로고    scopus 로고
    • An ideal point density plot method for determining an optimal sensory profile for Muscadine grape juice
    • Meullenet, J.F., Lovely, C., Threlfall, R., Morris, J.R., and Striegler, R.K. 2008. An ideal point density plot method for determining an optimal sensory profile for Muscadine grape juice. Food Quality and Preference 19: 210-219.
    • (2008) Food Quality and Preference , vol.19 , pp. 210-219
    • Meullenet, J.F.1    Lovely, C.2    Threlfall, R.3    Morris, J.R.4    Striegler, R.K.5
  • 26
    • 0015292073 scopus 로고
    • Subjective ideals and sensory optimization in evaluating perceptual dimensions in food
    • Moskowitz, H.R. 1972. Subjective ideals and sensory optimization in evaluating perceptual dimensions in food. Journal of Applied Psychology 56: 60-66.
    • (1972) Journal of Applied Psychology , vol.56 , pp. 60-66
    • Moskowitz, H.R.1
  • 27
    • 0030548513 scopus 로고    scopus 로고
    • Experts versus consumers: A comparison
    • Moskowitz, H.R. 1996. Experts versus consumers: A comparison. Journal of Sensory Studies 11: 19-37.
    • (1996) Journal of Sensory Studies , vol.11 , pp. 19-37
    • Moskowitz, H.R.1
  • 28
    • 0030988832 scopus 로고    scopus 로고
    • Base size in product testing: A psychophysical viewpoint and analysis
    • Moskowitz, H.R. 1997. Base size in product testing: A psychophysical viewpoint and analysis. Food Quality and Preference 8: 247-255.
    • (1997) Food Quality and Preference , vol.8 , pp. 247-255
    • Moskowitz, H.R.1
  • 29
    • 84987288522 scopus 로고
    • Magnitude and hedonic scales of food acceptability
    • Moskowitz, H.R. and Sidel, J.L. 1971. Magnitude and hedonic scales of food acceptability. Journal of Food Science 36: 677.
    • (1971) Journal of Food Science , vol.36 , pp. 677
    • Moskowitz, H.R.1    Sidel, J.L.2
  • 31
    • 84879317326 scopus 로고    scopus 로고
    • Product landscaping the Bayesian Way: Uncovering the evalu-ative dimensions of consumers
    • Jersey City, NJ, October 10-12
    • Nestrud, M. 2012. Product landscaping the Bayesian Way: Uncovering the evalu-ative dimensions of consumers. In Oral Presentation at the Third Society of Sensory Professionals Conference, Jersey City, NJ, October 10-12.
    • (2012) Oral Presentation at the Third Society of Sensory Professionals Conference
    • Nestrud, M.1
  • 32
    • 22144482697 scopus 로고    scopus 로고
    • Collection and analysis of perceived product inter-distances using multiple factor analysis: Application to the study of 10 white wines from the Loire Valley
    • Pagès, J. 2005. Collection and analysis of perceived product inter-distances using multiple factor analysis: Application to the study of 10 white wines from the Loire Valley. Food Quality and Preference 16: 642-649.
    • (2005) Food Quality and Preference , vol.16 , pp. 642-649
    • Pagès, J.1
  • 33
    • 78149232453 scopus 로고    scopus 로고
    • The Sorted Napping: A new holistic approach in sensory evaluation
    • Pagès, J., Cadoret, M., and Lê, S. 2010. The Sorted Napping: A new holistic approach in sensory evaluation. Journal of Sensory Studies 25: 637-658.
    • (2010) Journal of Sensory Studies , vol.25 , pp. 637-658
    • Pagès, J.1    Cadoret, M.2    Lê, S.3
  • 34
    • 34648830572 scopus 로고    scopus 로고
    • Comparison of three sensory methods for use with the Napping® procedure: Case of ten wines from Loire Valley
    • Perrin, L., Symoneaux, R., Maître, I., Asselin, C., Jourjon, F., and Pagès, J. 2008. Comparison of three sensory methods for use with the Napping® procedure: Case of ten wines from Loire Valley. Food Quality and Preference 19: 1-11.
    • (2008) Food Quality and Preference , vol.19 , pp. 1-11
    • Perrin, L.1    Symoneaux, R.2    Maître, I.3    Asselin, C.4    Jourjon, F.5    Pagès, J.6
  • 35
    • 84907095419 scopus 로고    scopus 로고
    • R: A language and environment for statistical computing
    • Vienna, Austria, retrieved September 2012
    • R Development Core Team 2012. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/(retrieved September 2012).
    • (2012) R Foundation for Statistical Computing
  • 37
    • 33644926485 scopus 로고    scopus 로고
    • Flash profiling. A new method of sensory descriptive analysis
    • Sydney, New South Wales, Australia, July 21-24
    • Sieffermann, J.M. 2002. Flash profiling. A new method of sensory descriptive analysis. In AIFST 35th Convention, Sydney, New South Wales, Australia, July 21-24.
    • (2002) AIFST 35th Convention
    • Sieffermann, J.M.1
  • 42
    • 84985316642 scopus 로고
    • The use of free-choice profiling for the evaluation of commercial ports
    • Williams, A.A. and Langron, S.P. 1984. The use of free-choice profiling for the evaluation of commercial ports. Journal of Science of Food Agriculture 35: 558-568.
    • (1984) Journal of Science of Food Agriculture , vol.35 , pp. 558-568
    • Williams, A.A.1    Langron, S.P.2
  • 44
    • 84886261626 scopus 로고    scopus 로고
    • Analysis and validation of the Ideal Profile Method: Application to a skin cream study
    • Worch, T., Crine, A., Gruel, A., and Lê, S. 2014. Analysis and validation of the Ideal Profile Method: Application to a skin cream study. Food Quality and Preference, 32: 132-144.
    • (2014) Food Quality and Preference , vol.32 , pp. 132-144
    • Worch, T.1    Crine, A.2    Gruel, A.3    Lê, S.4
  • 45
    • 78049444133 scopus 로고    scopus 로고
    • Comparison of PLS dummy variables and Fishbone method to determine optimal product characteristics from ideal profiles
    • Worch, T., Dooley, L., Meullenet, J.F., and Punter, P.H. 2010a. Comparison of PLS dummy variables and Fishbone method to determine optimal product characteristics from ideal profiles. Food Quality and Preference 218: 1077-1087.
    • (2010) Food Quality and Preference , vol.218 , pp. 1077-1087
    • Worch, T.1    Dooley, L.2    Meullenet, J.F.3    Punter, P.H.4
  • 46
    • 84874676627 scopus 로고    scopus 로고
    • Investigating the single ideal assumption using Ideal Profile Method
    • Worch, T. and Ennis, J.M. 2013. Investigating the single ideal assumption using Ideal Profile Method. Food Quality and Preference 29: 40-47.
    • (2013) Food Quality and Preference , vol.29 , pp. 40-47
    • Worch, T.1    Ennis, J.M.2
  • 47
    • 73549122904 scopus 로고    scopus 로고
    • How reliable are the consumers? Comparison of sensory profiles from consumers and experts
    • Worch, T., Lê, S., and Punter, P. 2010b. How reliable are the consumers? Comparison of sensory profiles from consumers and experts. Food Quality and Preference 21: 309-318.
    • (2010) Food Quality and Preference , vol.21 , pp. 309-318
    • Worch, T.1    Lê, S.2    Punter, P.3
  • 48
    • 83855161650 scopus 로고    scopus 로고
    • Assessment of the consistency of ideal profiles according to non-ideal data for IPM
    • Worch, T., Lê, S., Punter, P., and Pagès, J. 2012a. Assessment of the consistency of ideal profiles according to non-ideal data for IPM. Food Quality and Preference 24: 99-110.
    • (2012) Food Quality and Preference , vol.24 , pp. 99-110
    • Worch, T.1    Lê, S.2    Punter, P.3    Pagès, J.4
  • 49
    • 84861312470 scopus 로고    scopus 로고
    • Extension of the consistency of the data obtained with the Ideal Profile Method: Would the ideal products be more liked than the tested products?
    • Worch, T., Lê, S., Punter, P., and Pagès, J. 2012b. Extension of the consistency of the data obtained with the Ideal Profile Method: Would the ideal products be more liked than the tested products? Food Quality and Preference 26: 74-80.
    • (2012) Food Quality and Preference , vol.26 , pp. 74-80
    • Worch, T.1    Lê, S.2    Punter, P.3    Pagès, J.4
  • 50
    • 84860222512 scopus 로고    scopus 로고
    • Construction of an Ideal Map IdMap based on the ideal profiles obtained directly from consumers
    • Worch, T., Lê, S., Punter, P., and Pagès, J. 2012c. Construction of an Ideal Map IdMap based on the ideal profiles obtained directly from consumers. Food Quality and Preference 26: 93-104.
    • (2012) Food Quality and Preference , vol.26 , pp. 93-104
    • Worch, T.1    Lê, S.2    Punter, P.3    Pagès, J.4
  • 51
    • 28444434086 scopus 로고    scopus 로고
    • A PLS dummy variable approach to assess the impact of jar attributes on liking
    • Xiong, R. and Meullenet, J.F. 2006. A PLS dummy variable approach to assess the impact of jar attributes on liking. Food Quality and Preference 17: 188-198.
    • (2006) Food Quality and Preference , vol.17 , pp. 188-198
    • Xiong, R.1    Meullenet, J.F.2


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