CN117192033A - Method for comprehensively evaluating overall quality of expanded tobacco shreds - Google Patents
Method for comprehensively evaluating overall quality of expanded tobacco shreds Download PDFInfo
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Abstract
The application discloses a method for comprehensively evaluating the overall quality of expanded tobacco shreds, which belongs to the technical field of cigarette quality monitoring and comprises the steps of designing different technological parameter combinations; collecting a sample of the expanded tobacco shred, and determining data of quality indexes of the expanded tobacco shred; establishing a multi-index interval number for the quality indexes, and calculating the weight of each quality index; according to the interval number and the weight, calculating the comprehensive score of the quality of each batch of single-batch expanded tobacco shreds; and obtaining the evaluation data of the sensory quality, obtaining the comprehensive score of the sensory quality, and obtaining the comprehensive evaluation result of the quality of the single-batch expanded tobacco according to the comprehensive score of the quality of the single-batch expanded tobacco and the comprehensive score of the sensory quality. According to the application, transverse connection among different quality indexes is established, so that the evaluation result of the quality of the expanded tobacco shreds is more comprehensive, the different quality index information of the expanded tobacco shreds is comprehensively considered, and more systematic and comprehensive analysis and evaluation are performed on the quality level of single-batch expanded tobacco shreds.
Description
Technical Field
The application relates to the technical field of cigarette quality monitoring, in particular to a method for comprehensively evaluating the overall quality of expanded tobacco shreds.
Background
Tobacco leaves after modulation and redrying are made into tobacco shreds, and the tobacco shreds are expanded by a tobacco shred expansion process to obtain expanded tobacco shreds. The tobacco shred expansion is divided into leaf shred expansion and stem shred expansion, and the tobacco shred expansion can be divided into full formula expansion and partial expansion. The full formula expansion can also be called on-line expansion, namely, all tobacco shreds used by the cigarettes are heated and humidified and then immediately sent into a cut tobacco drier for quick drying; the partial expansion can also be called off-line expansion, which is to add a certain medium into partial tobacco shreds used in cigarettes and then carry out high-temperature treatment, and the tobacco shreds can obtain a higher filling value after partial expansion than full formula expansion.
The tobacco shreds after expansion treatment can improve the filling value of the tobacco shreds, reduce the raw material consumption of cigarettes and reduce the tar content of the cigarettes. The expanded tobacco shreds used in normal cigarette factories are wide at present, and the expanded tobacco shreds used in high-quality cigarettes have the characteristics of good oil wettability, high glossiness, softness, loose and large sheets, thinness and the like.
With the improvement of the production process of the expanded tobacco shreds, the single standard quality level of the expanded tobacco shreds is greatly improved, but other quality indexes have a certain degree of fluctuation while the single standard quality level is improved. Therefore, in order to further explore how much the improved production process improves the overall quality level of the expanded tobacco, comprehensive research on a plurality of quality indexes of the expanded tobacco is needed, key indexes in the indexes are found, and the quality level of the expanded tobacco is comprehensively improved.
Disclosure of Invention
In order to solve the technical problems, the application provides a comprehensive evaluation method for the overall quality of the expanded tobacco shreds, which is based on different quality index information of single-batch expanded tobacco shreds, establishes a corresponding quality index interval number, establishes a relevant decision model conforming to the actual multi-index interval number of production, and more comprehensively and effectively analyzes and evaluates the comprehensive quality of the single-batch expanded tobacco shreds, thereby playing a role in guiding on-site process parameter adjustment in actual production.
In order to achieve the above object, the embodiment of the present application provides the following technical solutions:
s1: selecting a target experimental procedure of the expanded tobacco shred production process, and designing different technological parameter combinations for the target experimental procedure;
s2: collecting the expanded tobacco samples in the production process of the corresponding batch of the combination of the process parameters, and measuring the data of the quality index of the expanded tobacco;
s3: establishing a multi-index interval number function model for each quality index of each batch, determining key quality indexes influencing the comprehensive quality of the expanded tobacco shreds, carrying out weighted assignment on the key quality indexes under different process parameter combinations, and calculating the weight of each quality index;
s4: according to the interval number of each quality index of each batch and the weight of each quality index, calculating the comprehensive score of the single-batch expanded tobacco quality of each batch;
s5: obtaining the evaluation data of the sensory quality of the single-batch product of each batch of the expanded tobacco shreds, obtaining the comprehensive score of the sensory quality, and obtaining the comprehensive evaluation result of the quality of the single-batch expanded tobacco shreds according to the comprehensive score of the quality of the single-batch expanded tobacco shreds and the comprehensive score of the sensory quality of each batch.
Further, collecting expanded tobacco samples in the batch production process, and determining data of quality indexes of the expanded tobacco, wherein the quality indexes of the expanded tobacco comprise: filling value, whole silk rate, broken silk rate.
Further, a multi-index interval number function model is built for each quality index of each batch, weighting assignment is carried out on the quality indexes under different obtained technological parameter combinations through building the multi-index interval number function model, the weight of each quality index is calculated, and the key quality index affecting the comprehensive quality of the expanded tobacco shreds is determined, wherein the filling value and the whole tobacco shred rate both adopt benefit multi-index interval number function models, and the shredding rate adopts a cost multi-index interval number function model.
Further, the specific steps of establishing the multi-index interval number function model for each quality index of each batch are as follows:
constructing an interval number matrix according to the measured quality index data of the expanded tobacco shreds;
establishing a decision matrix for an interval number matrix of the expanded tobacco quality index data;
and selecting a target decision matrix standardization method, and carrying out standardization processing on a decision matrix of the expanded tobacco quality index data according to the index interval function model type corresponding to the quality index.
Further, when the target matrix specification is selected as the range transform method:
setting a decision matrix as follows:
benefit type multi-index interval number function model:
cost multi-index interval number function model:
the normalized decision matrix is:
wherein,minimum value of measured data representing jth index of ith lot, +.>The maximum value of the measured data representing the jth index of the ith batch is represented, n represents the data quantity of a single measured index, and m represents the number of indexes.
Further, when the target matrix specification is selected as the gravity transformation method:
setting a decision matrix as follows:
benefit type multi-index interval number function model:
cost multi-index interval number function model:
the normalized decision matrix is:
after normalization of this method, the decision matrix has the property:
wherein,minimum value of measured data representing jth index of ith lot, +.>The maximum value of the measured data representing the jth index of the ith batch is represented, n represents the data quantity of a single measured index, and m represents the number of indexes.
Further, determining key quality indexes influencing the comprehensive quality of the expanded tobacco shreds, carrying out weighted assignment on the key quality indexes under different process parameter combinations, and calculating the weight of each quality index, wherein the specific steps are as follows:
establishing an optimization model for each quality index of each batch, and calculating the weight of each quality index;
a non-preference multi-index decision method is used, and the weight vector of the index is marked as follows:
w＝(w 1 ,w 2 ,…,w m )
and satisfies unitized constraint conditions:
in order to measure the similarity of two interval numbers, a concept of the degree of separation between the interval numbers is given;
number of set sectionsIf the norm
Then it is called the interval numberIs the number of intervals->And->Is a degree of separation of (3);
and (3) establishing a model:
there are i batches, j attribute indexes,
then for index u j If batch x i Deviation from all other lots D ij (w) represents, then can be defined
And the following steps:
then for index u j ，D j (w) represents the total deviation of all lots from other lots;
wherein i represents the current batch, j represents the attribute index, and k represents other batches;
the index weight vector w is chosen such that the total deviation of all indices for all lots is maximized, for which purpose a deviation function is constructed:
wherein i represents the current batch, j represents the attribute index, and k represents other batches;
the problem of solving the weight vector w is thus equivalent to solving the following single-objective optimization problem:
weight attribute of each index:
where i represents the current lot, j represents the attribute index, and k represents the other lots.
Further, according to the interval number of each quality index of each batch and the weight of each quality index, calculating the comprehensive score of the quality of single-batch expanded tobacco shreds of each batch:
wherein i represents the batch, j represents the attribute index, and w represents the index weight.
Further, obtaining evaluation data of sensory quality of single-batch products of each batch of expanded tobacco shreds, obtaining a comprehensive score of sensory quality, and obtaining a comprehensive evaluation result of the quality of single-batch expanded tobacco shreds according to the comprehensive score of the quality of single-batch expanded tobacco shreds and the comprehensive score of sensory quality of each batch, wherein the evaluation result comprises:
a composite score of sensory quality was obtained:
wherein Pj represents the comprehensive score of the sensory quality of each batch of the expanded tobacco, and p jk The score of the sensory index k in the batch j is represented, k represents the index of sensory product absorption, and n represents the index number;
the highest value and the lowest value of the comprehensive score of the quality of each batch of single-batch expanded tobacco shreds are used as boundaries, the sequencing is carried out in a descending way from large to small, and the sequencing situation of the comprehensive score of the sensory quality of each batch of expanded tobacco shreds is compared to obtain the comprehensive evaluation result of the quality of the single-batch expanded tobacco shreds;
wherein the sensory quality comprises at least one of the following qualities:
fragrance, fragrance amount, permeability, miscellaneous gas, fineness, softness, irritation, dryness, aftertaste.
Further, the expanded tobacco samples in the production process of the corresponding batch of the process parameter combination are collected, and the data of the quality index of the expanded tobacco is measured, wherein the number of the samples of the expanded tobacco in the same batch is not less than 10.
The application has the beneficial effects that:
1. the application establishes the transverse connection among different quality indexes, so that the evaluation result of the quality of the expanded tobacco shreds is more comprehensive;
2. according to the application, different quality index information of the expanded tobacco shreds is comprehensively considered, and more systematic and comprehensive analysis and evaluation are performed aiming at the quality level of single-batch expanded tobacco shreds;
3. the comprehensive evaluation method for the quality of the expanded tobacco shreds has universality and lays a theoretical and practical foundation for further guiding the on-site process parameter adjustment.
These and other objects, features and advantages of the present application will become more fully apparent from the following detailed description.
Drawings
FIG. 1 shows a flow chart of a method for comprehensively evaluating the overall quality of expanded tobacco shreds.
Fig. 2 shows a schematic frame diagram of the method for comprehensively evaluating the overall quality of the expanded tobacco shreds.
Detailed Description
The following description is presented to enable one of ordinary skill in the art to make and use the application. The preferred embodiments in the following description are by way of example only and other obvious variations will occur to those skilled in the art. The basic principles of the application defined in the following description may be applied to other embodiments, variations, modifications, equivalents, and other technical solutions without departing from the spirit and scope of the application.
It will be appreciated by those skilled in the art that the terms "comprises" and "comprising," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements that are expressly listed or inherent to such process, method, article, or apparatus. Accordingly, the above terms are not to be construed as limiting the present application.
It will be understood that the terms "a" and "an" should be interpreted as referring to "at least one" or "one or more," i.e., in one embodiment, the number of elements may be one, while in another embodiment, the number of elements may be plural, and the term "a" should not be interpreted as limiting the number.
Referring to fig. 1, a method for comprehensively evaluating the overall quality of expanded tobacco according to a preferred embodiment of the present application will be described in detail below, including: s1: selecting a target experimental procedure of the expanded tobacco shred production process, and designing different technological parameter combinations for the target experimental procedure; s2: collecting the expanded tobacco samples in the production process of the corresponding batch of the combination of the process parameters, and measuring the data of the quality index of the expanded tobacco; s3: establishing a multi-index interval number function model for each quality index of each batch, determining key quality indexes influencing the comprehensive quality of the expanded tobacco shreds, carrying out weighted assignment on the key quality indexes under different process parameter combinations, and calculating the weight of each quality index; s4: according to the interval number of each quality index of each batch and the weight of each quality index, calculating the comprehensive score of the single-batch expanded tobacco quality of each batch; s5: obtaining the evaluation data of the sensory quality of the single-batch product of each batch of the expanded tobacco shreds, obtaining the comprehensive score of the sensory quality, and obtaining the comprehensive evaluation result of the quality of the single-batch expanded tobacco shreds according to the comprehensive score of the quality of the single-batch expanded tobacco shreds and the comprehensive score of the sensory quality of each batch.
According to the embodiment of the application, the expanded tobacco shred samples in the production process of the corresponding batch of the process parameter combination are collected, the data of the quality indexes of the expanded tobacco shreds are measured, the minimum value and the maximum value of different quality indexes are listed, the number of intervals is established, and the number of the samples of the expanded tobacco shreds in the same batch is not less than 10. The quality indexes of the expanded tobacco shreds comprise: filling value, whole silk rate, broken silk rate.
According to an embodiment of the application, a multi-index interval number function model is established according to the measured value of each quality index, and the multi-index interval number function model is divided into 5 types, namely, a benefit type, a cost type, a fixed type, a interval type, a deviation type and other basic types; the filling value and the whole yarn rate adopt benefit type multi-index interval number function models, and the yarn breakage rate adopts cost type multi-index interval number function models;
when the target matrix specification is selected as the range transformation method:
setting a decision matrix as follows:
benefit type multi-index interval number function model:
cost multi-index interval number function model:
the normalized decision matrix is:
wherein,minimum value of measured data representing jth index of ith lot, +.>The maximum value of the measured data representing the jth index of the ith batch is represented, n represents the data quantity of a single measured index, and m represents the number of indexes.
When the target matrix specification is a gravity transformation method:
benefit type multi-index interval number function model:
cost multi-index interval number function model:
wherein,minimum value of measured data representing jth index of ith lot, +.>The maximum value of the measured data representing the jth index of the ith batch is represented, n represents the data quantity of a single measured index, and m represents the number of indexes.
According to an embodiment of the application, key quality indexes influencing the comprehensive quality of the expanded tobacco shreds are determined, the key quality indexes under different process parameter combinations are subjected to weighted assignment, and the weights of the quality indexes are calculated, wherein the specific steps are as follows:
a non-preference multi-index decision method is used, and the weight vector of the index is marked as follows:
w＝(w 1 ,w 2 ,…,w m )
and satisfies unitized constraint conditions:
in order to measure the similarity of two interval numbers, a concept of the degree of separation between the interval numbers is given;
number of set sectionsIf the norm
Then it is called the interval numberIs the number of intervals->And->Is a degree of separation of (3);
and (3) establishing a model:
there are i batches, j attribute indexes,
then for index u j If batch x i Deviation from all other lots D ij (w) represents, then can be defined
And order the
Then for index u j ，D j (w) represents the total deviation of all lots from other lots;
wherein i represents the current batch, j represents the attribute index, and k represents other batches;
the index weight vector w is chosen such that the total deviation of all indices for all lots is maximized, for which purpose a deviation function is constructed:
wherein i represents the current batch, j represents the attribute index, and k represents other batches;
the problem of solving the weight vector w is thus equivalent to solving the following single-objective optimization problem:
weight attribute of each index:
where i represents the current lot, j represents the attribute index, and k represents the other lots.
According to the embodiment of the application, the comprehensive score of the quality of the single-batch expanded tobacco shreds of each batch is calculated according to the interval number of each quality index of each batch and the weight of each quality index:
wherein i represents the batch, j represents the attribute index, and w represents the index weight.
According to an embodiment of the present application, the method for obtaining the sensory quality evaluation data of the single-batch product of each batch of expanded tobacco shreds to obtain the comprehensive score of the sensory quality, and obtaining the comprehensive evaluation result of the single-batch expanded tobacco shred quality according to the comprehensive score of the single-batch expanded tobacco shred quality and the comprehensive score of the sensory quality of each batch comprises:
a composite score of sensory quality was obtained:
wherein Pj represents the comprehensive score of the sensory quality of each batch of the expanded tobacco, and p jk The score of the sensory index k in the batch j is represented, k represents the index of sensory product absorption, and n represents the index number;
and (3) taking the highest value and the lowest value of the comprehensive score of the quality of each batch of single-batch expanded tobacco as boundaries, sequentially descending from large to small, sequencing, and comparing the sequencing conditions of the comprehensive scores of the sensory quality of each batch of expanded tobacco to obtain the comprehensive evaluation result of the quality of the single-batch expanded tobacco.
And (3) scoring the 9 single sensory evaluation indexes of aroma quality, aroma quantity, permeability, miscellaneous gas, fineness, softness, irritation and dryness according to relevant regulations in tobacco industry standard flue-cured tobacco and tobacco quality style characteristic sensory evaluation methods (YC/T530-2015), and finally calculating the comprehensive score of the sensory quality of each batch of expanded tobacco shreds.
In order to better explain the evaluation method of the present application, the results are described by example 1:
step one, taking the hot end of the last working procedure of the silk expansion working section as an experimental working procedure, and setting different technological parameter combinations of the hot end.
Step two, collecting samples of the expanded tobacco under different process parameter combinations, measuring data of various indexes of the expanded tobacco, and establishing quality index interval numbers;
using 4 parameter combinations x i (i＝1,2,3,4)，x 1 = (process gas stream temperature 310 ℃, gas stream flow rate 36m/s, steam flowAmount 405 kg/h); x is x 2 = (process gas flow temperature 320 ℃, gas flow rate 34m/s, steam flow 405 kg/h); x is x 3 = (process gas flow temperature 320 ℃, gas flow rate 34m/s, steam flow 450 kg/h); x is x 4 = (process gas flow temperature 300 ℃, gas flow rate 34m/s, steam flow 450 kg/h). Samples were taken from different batches, each randomly sampled 20 times, 1kg each.
Sample values for each index of the four parameter combinations:
interval number attribute value of each index of the four parameter combinations:
step three, a multi-index interval number function model is established according to the measured value of each quality index;
in each index, except for the cost type yarn breakage rate, the other benefits are all achieved, and the method comprises the following steps:
establishing a decision matrix:
normalizing the decision matrix according to the formulas (5) and (6), wherein the normalized matrix is:
establishing an optimization model for each quality index of each batch, and calculating the weight of each quality index;
the attribute weight vector w is obtained according to the formula (11):
ω＝(0.3189，0.3182,0.3243)
the comprehensive attribute values of the schemes are obtained by using a formula (12) and are respectively the interval numbers:
Z 1 (w)＝[0.4077,0.6239],Z 2 (w)＝[0.3918,0.5888],Z 3 (w)＝[0.4052,0.5945],
step four, calculating the comprehensive score of the quality of single-batch products of each batch according to the interval number and the corresponding weight of each quality index of each batch:
to order the schemes preferentially, z is found using equation (9) i (w) (i=1, 2,3, 4) probability matrix for pairwise comparison:
then, the ranking vector of the probability matrix P is obtained by using the formula (10):
ν＝(0.2544,0.2323,0.2671)
from the sorting vector, the filling value of the expanded tobacco shreds can be obtained as the maximum factor affecting the quality index, and the maximum factor is regarded as a key index.
The sorting of the final score di of the interval number is obtained by the sorting vector v and the possibility in the matrix P:
d 1 (0.7026)ρd 3 (0.7053)ρd 2 (0.7161)ρd 4 (0.7721)
step five, calculating the comprehensive score of the sensory quality of each batch of the expanded tobacco shreds:
calculating the comprehensive score of each batch of single-grade sensory quality characteristics based on relevant regulations in a flue-cured tobacco and tobacco quality style characteristic sensory evaluation method (YC/T530-2015);
the single-batch sensory evaluation scores of the expanded tobacco shreds are shown in table 1:
TABLE 1
And comparing the comprehensive score of the quality of each batch of single-batch expanded tobacco with the comprehensive score of the sensory quality to obtain a sensory evaluation result consistent with the experimental calculation result.
The method is simple and easy to operate, easy to obtain data and convenient to popularize and apply; the application establishes the transverse connection among different quality indexes, so that the evaluation result of the quality of the expanded tobacco shreds is more comprehensive; according to the application, different quality index information of the expanded tobacco shreds is comprehensively considered, and more systematic and comprehensive analysis and evaluation are performed aiming at the quality level of single-batch expanded tobacco shreds; the comprehensive evaluation method for the quality of the expanded tobacco shreds has universality and lays a theoretical and practical foundation for further guiding the on-site process parameter adjustment.
The foregoing has shown and described the basic principles, principal features and advantages of the application. It will be appreciated by persons skilled in the art that the above embodiments are not intended to limit the application in any way, and that all technical solutions obtained by means of equivalent substitutions or equivalent transformations fall within the scope of the application.
Claims (10)
1. The comprehensive evaluation method for the overall quality of the expanded tobacco shreds is characterized by comprising the following steps of:
s1: selecting a target experimental procedure of the expanded tobacco shred production process, and designing different technological parameter combinations for the target experimental procedure;
s2: collecting the expanded tobacco samples in the production process of the corresponding batch of the combination of the process parameters, and measuring the data of the quality index of the expanded tobacco;
s3: establishing a multi-index interval number function model for each quality index of each batch, determining key quality indexes influencing the comprehensive quality of the expanded tobacco shreds, carrying out weighted assignment on the key quality indexes under different process parameter combinations, and calculating the weight of each quality index;
s4: according to the interval number of each quality index of each batch and the weight of each quality index, calculating the comprehensive score of the single-batch expanded tobacco quality of each batch;
s5: obtaining the evaluation data of the sensory quality of the single-batch product of each batch of the expanded tobacco shreds, obtaining the comprehensive score of the sensory quality, and obtaining the comprehensive evaluation result of the quality of the single-batch expanded tobacco shreds according to the comprehensive score of the quality of the single-batch expanded tobacco shreds and the comprehensive score of the sensory quality of each batch.
2. The method for comprehensively evaluating the overall quality of expanded tobacco shreds according to claim 1, wherein the method for acquiring the expanded tobacco shred samples in the batch production process and determining the data of the quality index of the expanded tobacco shreds comprises the following steps: filling value, whole silk rate, broken silk rate.
3. The method for comprehensively evaluating the overall quality of the expanded tobacco shreds according to claim 2, wherein a multi-index interval number function model is established for each quality index of each batch, weighting and assigning are carried out on the quality indexes under different obtained process parameter combinations by establishing the multi-index interval number function model, the weight of each quality index is calculated, and the key quality index affecting the comprehensive quality of the expanded tobacco shreds is determined, wherein the filling value and the overall tobacco shred ratio are both the benefit multi-index interval number function model, and the cost multi-index interval number function model is adopted for the shredding ratio.
4. The method for comprehensively evaluating the overall quality of expanded tobacco shreds according to claim 3, wherein the specific steps of establishing a multi-index interval number function model for each quality index of each batch are as follows:
constructing an interval number matrix according to the measured quality index data of the expanded tobacco shreds;
establishing a decision matrix for an interval number matrix of the expanded tobacco quality index data;
and selecting a target decision matrix standardization method, and carrying out standardization processing on a decision matrix of the expanded tobacco quality index data according to the index interval function model type corresponding to the quality index.
5. The method for comprehensively evaluating the overall quality of expanded tobacco according to claim 4, wherein when the target matrix specification is selected as a range transformation method:
setting a decision matrix as follows:
benefit type multi-index interval number function model:
cost multi-index interval number function model:
the normalized decision matrix is:
wherein,minimum value of measured data representing jth index of ith lot, +.>The maximum value of the measured data representing the jth index of the ith batch is represented, n represents the data quantity of a single measured index, and m represents the number of indexes.
6. The method for comprehensively evaluating the overall quality of expanded tobacco according to claim 4, wherein when the target matrix specification is selected to be a gravity conversion method:
setting a decision matrix as follows:
benefit type multi-index interval number function model:
cost multi-index interval number function model:
the normalized decision matrix is:
after normalization of this method, the decision matrix has the property:
wherein,minimum value of measured data representing jth index of ith lot, +.>The maximum value of the measured data representing the jth index of the ith batch is represented, n represents the data quantity of a single measured index, and m represents the number of indexes.
7. The method for comprehensively evaluating the overall quality of expanded tobacco shreds according to claim 4, wherein key quality indexes influencing the overall quality of the expanded tobacco shreds are determined, the key quality indexes under different technological parameter combinations are subjected to weighted assignment, and the weights of the quality indexes are calculated, and the specific steps are as follows:
establishing an optimization model for each quality index of each batch, and calculating the weight of each quality index;
a non-preference multi-index decision method is used, and the weight vector of the index is marked as follows:
w＝(w 1 ,w 2 ,…,w m )
and satisfies unitized constraint conditions:
in order to measure the similarity of two interval numbers, a concept of the degree of separation between the interval numbers is given;
number of set sectionsIf the norm
Then it is called the interval numberIs the number of intervals->And->Is a degree of separation of (3);
and (3) establishing a model:
there are i batches, j attribute indexes,
then for index u j If batch x i Deviation from all other lots D ij (w) represents, then can be defined
And the following steps:
then for index u j ，D j (w) represents the total deviation of all lots from other lots;
wherein i represents the current batch, j represents the attribute index, and k represents other batches;
the index weight vector w is chosen such that the total deviation of all indices for all lots is maximized, for which purpose a deviation function is constructed:
wherein i represents the current batch, j represents the attribute index, and k represents other batches;
the problem of solving the weight vector w is thus equivalent to solving the following single-objective optimization problem:
weight attribute of each index:
where i represents the current lot, j represents the attribute index, and k represents the other lots.
8. The method for comprehensively evaluating the overall quality of the expanded tobacco shreds according to claim 1, wherein the comprehensive score of the quality of the expanded tobacco shreds in each batch is calculated according to the number of intervals of each quality index in each batch and the weight of each quality index:
wherein i represents the batch, j represents the attribute index, and w represents the index weight.
9. The method for comprehensively evaluating the overall quality of expanded tobacco shreds according to claim 8, wherein obtaining the sensory quality evaluation data of the single-batch products of each batch of expanded tobacco shreds, obtaining a comprehensive score of the sensory quality, and obtaining a comprehensive evaluation result of the single-batch expanded tobacco shreds according to the comprehensive score of the single-batch expanded tobacco shreds and the comprehensive score of the sensory quality of each batch, comprises:
a composite score of sensory quality was obtained:
wherein Pj represents the comprehensive score of the sensory quality of each batch of the expanded tobacco, and p jk The score of the sensory index k in the batch j is represented, k represents the index of sensory product absorption, and n represents the index number;
the highest value and the lowest value of the comprehensive score of the quality of each batch of single-batch expanded tobacco shreds are used as boundaries, the sequencing is carried out in a descending way from large to small, and the sequencing situation of the comprehensive score of the sensory quality of each batch of expanded tobacco shreds is compared to obtain the comprehensive evaluation result of the quality of the single-batch expanded tobacco shreds;
wherein the sensory quality comprises at least one of the following qualities:
fragrance, fragrance amount, permeability, miscellaneous gas, fineness, softness, irritation, dryness, aftertaste.
10. The method for comprehensively evaluating the overall quality of the expanded tobacco shreds according to claim 1, wherein the method is characterized in that the expanded tobacco shred samples in the production process of the corresponding batch of the combination of the process parameters are collected, and the data of the quality index of the expanded tobacco shreds are measured, wherein the number of the samples of the expanded tobacco shreds in the same batch is not less than 10.
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