An efficient hybrid classification algorithm: an example from palliative care
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
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There is an increasing concern with the quality of beverage products, like water, milk, wine and coffee. For wine, in particular, the evaluation is usually performed by human tasters, which may require a long time for their training. Moreover, the use of human tasters usu- ally presents high financial and health costs and has a strong subjective component. The quality control of beverages may strongly bene- fit from the automatic monitoring of their properties by using taste sensors and intelligent systems. This work investigates how the application of a Artificial Intelli- gence, more specifically a Hybrid Case-Based System, can lead to an efficient tool for wine quality monitoring. For such, a set of measures extracted by a set of taste sensors is analysed by an Intelligent Hybrid system. Ex- perimental results show the ability of the proposed sys- tem to evaluate wine quality.