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An Evaluation Model with Unbalanced Linguistic Information Applied to Olive Oil Sensory Evaluation

机译:语言信息不平衡的橄榄油感官评价模型

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摘要

The evaluation processes are used for quality inspection, marketing and other fields in industrial companies. This paper focuses on sensory evaluation where the evaluated items are assessed by a panel of experts according to the knowledge acquired via human senses. In these evaluation processes, the information provided by the experts implies uncertainty, vagueness and imprecision. The use of the Fuzzy Linguistic Approach [28] has provided successful results modelling such a type of information. Usually these evaluation processes based on linguistic approaches have used symmetrical and uniformly distributed linguistic term sets in order to model the preferences about the evaluated objects. However, in sensory evaluation is common to find problems whose items or features need to be assessed with assessments in scales that one side of the scale overweight the another one, it means the use of a unbalanced linguistic scale. In this paper we present a sensory evaluation model that manages evaluation frameworks with unbalanced linguistic information. This model will be applied to the sensory evaluation process of Olive Oil that implies the definition of a proper framework adapted to the preference modelling of the proposed evaluation model.
机译:评估过程用于工业公司的质量检查,市场营销和其他领域。本文着重于感官评估,其中由专家小组根据通过人类感官获得的知识对评估项目进行评估。在这些评估过程中,专家提供的信息意味着不确定性,模糊性和不精确性。模糊语言方法[28]的使用提供了成功的结果,为这种类型的信息建模。通常,这些基于语言方法的评估过程已使用对称且均匀分布的语言术语集,以便对有关被评估对象的偏好进行建模。然而,在感官评估中通常发现要解决的问题,这些问题或特征需要通过量表的评估来评估,即量表的一侧超重另一侧,这意味着使用不平衡的语言量表。在本文中,我们提出了一种感官评估模型,该模型可管理具有不平衡语言信息的评估框架。该模型将应用于橄榄油的感官评估过程,这意味着定义了适合所提出评估模型的偏好模型的适当框架。

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