Tobacco leaf application range positioning method based on cigarette formula efficacy

Abstract

The invention relates to the technical field of tobacco leaf raw material classification, in particular to a tobacco leaf application range positioning method based on cigarette formula efficacy. Themethod comprises the following steps: respectively selecting representative tobacco leaf raw material samples of each type of efficacy i; selecting a plurality of tobacco leaf quality characteristic indexes as characteristics j, detecting characteristic values of representative tobacco leaf raw material samples, and determining quality requirements Jij according to the characteristic values; for each type of efficacy i, constructing a feature importance comparison matrix according to the scale, performing normalization processing on the feature importance comparison matrix, and calculating a feature vector of each feature j; dividing each feature vector by the sum of all the feature vectors to obtain a weight Zij; calculating an applicability evaluation weight Sij=(Zij* 100) / Jij; and determining each characteristic value Gj of the tobacco leaf raw material to be positioned, wherein the applicability score Hi of the tobacco leaf raw material to be positioned under a certain efficacy i is equal to sigma (Gj*Sij). All application ranges of the tobacco leaf raw materials can be obtained, and therefore the utilization rate of the tobacco leaf raw materials is increased.

Description

technical field [0001] The invention relates to the technical field of classification of tobacco leaf raw materials, in particular to a method for locating the scope of application of tobacco leaves based on the efficacy of cigarette formula. Background technique [0002] At present, there are a large number of cigarette products on the market, and cigarettes of different brands, and different types of cigarettes of the same brand, all have different efficacy positioning, thus bringing different smoking experiences to people. Different cigarette effects are obtained by formulating and applying tobacco leaf raw materials of different qualities and styles in a multi-variety, multi-grade, and proportioning manner. The traditional formula technology is mainly obtained by the subjective experience of the formula technicians. In the face of a large number of tobacco leaf raw materials of different varieties and grades, not only the raw material selection is difficult, but also sub...

AI Technical Summary

Problems solved by technology

The application is to evaluate the industrial applicability of tobacco leaves based on several appearance indicators of tobacco leaves. On the one hand, it is difficult to determine the sensory quality of tobacco leaves through appearance indicators, and it is impossible to evaluate the applicability based on the efficacy of cigarette formula; on the other hand, the relationship between several appearance indicators are parallel factors to each other, but in fact, different appearance indicators have different influences on industrial applicability

In this application, if there is a large deviation in the determination of the appearance index that has little impact on industrial applicability, it will also cause a large deviation to the result, resulting in a large error between the predicted result and the actual result.

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