Two series of experiments were conducted for the evaluation of the effect of dietary taurine supplementation on survival, growth performance and feed preference of sea bass Dicentrarchus labrax fry when fed with demand-feeders a fish/soybean meal-based diet. In the first experiment, fish were imposed one of four diets supplemented with taurine (0, 0.1, 0.2 or 0.3% taurine on a dry weight basis), while in the second they had simultaneous free access to the four diets supplemented with taurine. When not allowed to choose, fish exhibited better specific growth rate of 3.2 and 3.2% per day with diets supplemented with 0.2 and 0.3% taurine than those of 2.3 and 2.2% per day of 0 and 0.1% taurine, respectively. When fish were free to access the diets, they selected more actively the 0.2 and 0.3% taurine-supplemented diets than the 0 and 0.1% taurine. As survival was not significantly different among trials, the results indicate that sea bass fry require a 0.2% taurine in the diet for better growth when fish meal and soybean meal are the primary sources of protein. The positive correlation between growth performance and nutrient preference is discussed as a method for improvement of fry food formulation.

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Quality cost studies present a considerable lack of information on account of the existence of hidden quality costs. As a result, it is necessary to develop instruments that improve the estimations made and favour final data analysis. First, this paper develops an interesting and original tool based on fuzzy logic that will allow any business to improve its estimations of quality costs. This is possible by observing the organisation's position on Crosby's Quality Management Maturity Grid. Finally, data analysis will then take place using both linear and possibilistic regression. The suitability of the latter of these two is demonstrated for quality cost analysis as well as for making predictions. We have made use of a case study as research methodology.

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