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Comparison of PLS dummy variables and Fishbone method to determine optimal product characteristics from ideal profiles.

机译:比较PLS虚拟变量和Fishbone方法以从理想轮廓中确定最佳产品特性。

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摘要

Sensory professionals mostly used trained or expert panels for diagnostic purposes and only use consumers for hedonic assessments. In market research, consumers are not only used for hedonic assessments, but also for product diagnostic purposes (as is the case with Just About Right procedure). In the Ideal Profile method, consumers are also used for both tasks. They rate the perceived and ideal intensities and the acceptance of a series of products. The two sets of information (product description and hedonic data) are then used for product improvement. In this paper, the results of two methods of analysis - PLS on dummy variables and Fishbone method - will be compared. The objectives of this study were (1) to compare PLS and Fishbone method to determine their similarity in predicting the impact of the attributes on overall liking, and (2) to determine if the methods would return similar or contrasting conclusions. These methodologies have been applied to a study concerning 12 commercially-available women's perfumes. Though the differences in model derivations caused some small dissimilarities, similar trends were found between products across methods for those perfumes far from the ideal. There was agreement regarding which attributes are too strong or too weak, and the order of importance of these attributes for liking. The two methods showed greater dissimilarity for perfumes that were already near the consumer's ideal.Digital Object Identifier http://dx.doi.org/10.1016/j.foodqual.2010.08.009
机译:感官专业人员大多将经过培训的专家小组用于诊断目的,而仅将消费者用于享乐评估。在市场研究中,消费者不仅用于享乐评估,而且还用于产品诊断目的(就像Just About Right程序一样)。在“理想配置文件”方法中,使用者也同时用于这两项任务。他们评价了一系列产品的感知强度和理想强度以及可接受程度。然后将两组信息(产品描述和享乐数据)用于产品改进。在本文中,将比较两种分析方法的结果-虚拟变量的PLS和Fishbone方法。这项研究的目的是(1)比较PLS和Fishbone方法,以确定它们在预测属性对整体喜好的影响上的相似性,以及(2)确定这些方法是否会返回相似或相反的结论。这些方法已用于有关12种市售女士香水的研究。尽管模型推导的差异引起了一些细微的差异,但在针对那些香水的各种方法中,发现产品之间的趋势相似,但均远非理想。对于哪些属性太强或太弱以及这些属性喜欢的重要性的顺序达成了共识。这两种方法对于已经接近消费者理想状态的香水显示出更大的相似性。数字对象标识符http://dx.doi.org/10.1016/j.foodqual.2010.08.009

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