Method for realizing formulated product sense index related analysis based on information diffusion and approximate reasoning

Abstract

The priority message: to treat fuzzy information from small-sample and avoid evaluation difference from expert's experience, the presented method integrates the information diffusion approximate reasoning and fuzzy dot graph to convert the original conflict sample into a new smooth sample for further treatment. This invention can improve the precision of sense evaluation.

Description

technical field [0001] The invention relates to a novel method flow, in particular based on information diffusion approximate reasoning and fuzzy scatter diagrams to realize data analysis correlated with sensory indicators of formula products. Background technique [0002] In the existing formula product manufacturing industry, such as cigarettes, food, spices, chewing gum, food additives, etc., sensory quality assessment needs to be carried out in the process of production quality management and raw material classification for the formula and composition of the product. For example, during the smoking process, various chemical components in the tobacco leaf raw materials for producing cigarettes interact to jointly stimulate the senses of the smoker, including taste, smell, and touch. Analyzing from a statistical point of view, various causal relationships must be formed between these chemical components and human sensory indicators, that is, simple linear and complex nonli...

AI Technical Summary

Problems solved by technology

Although the manufacturers of formula products have accumulated a certain amount of expert evaluation data through long-term production management, since the quality evaluation is performed by individuals, there are inevitably many human factors in these evaluation data.

For example, in the process of quality evaluation, experts will be interfered by factors such as their own emotions, physical conditions, personal sensory preferences, and the degree of fatigue, and there will be sensory errors objectively, which will ultimately be reflected in the inaccurate classification of formula products and the difficulty To further improve and optimize the production process

Moreover, organizing experts to conduct quality assessment also requires high costs and a lot of time

Images