CN105486806A - Star graph identification method of comfortableness characteristic of cigarette - Google Patents

Abstract

The invention discloses a star graph identification method of the comfortableness characteristic of cigarette. The method comprises the following steps: 1, obtaining sensory evaluation data; 2, reading the cigarette sensory evaluation data into Matlab software, and preprocessing the sensory evaluation data by adopting a specific data normalization technology; 3, drawing cigarette sample star graphs on pretreated data; 4, classifying samples according similarities among the cigarette sample star graphs; and 5, comparing and observing the star graphs, analyzing the protruding characteristics of all the star graphs, determining the main body note characteristics of various samples, and correspond 10 comfortableness characteristics of Chinese cigarette to star-shaped shapes in order to display sensory evaluation results as star-shaped shapes. The star-shaped graphs are vivid and visual, can highly vividly visualize the cigarette fragrance type note characteristics as the star-shaped characteristics, and can visually analyze the similarity and diversity of the fragrance type note characteristics of a cigarette product to meet demands of cigarette product contrast analysis and variety construction.

Description

A kind of star graph method of identification of cigarette comfort characteristic

Technical field

The invention belongs to cigarette sensory evaluation technique field, be specifically related to a kind of star graph method of identification of cigarette comfort characteristic.

Background technology

Cigarette is a kind of specialities for people's consumption.Because the final consumption form of cigarette product is sucked exactly, the style and features of cigarette and fragrance quality will could provide impression to consumer through burning, what therefore, the most directly, the most in time, can represent consumer's will is exactly organoleptic analysis to cigarette and evaluation.The overall tasks of cigarette organoleptic analysis and evaluation and object judge exactly and describe fragrance quality level and style characteristic, be also for R&D personnel, marketing personnel provide effectively, information reliably, to make correct product and marketing decision.Due to the demand in market and the development of product, the A+E of cigarette has become tobacco business important field of research and technical work.

For the evaluation of cigarette style characteristic, tobacco business establishes corresponding evaluation criterion YC/T497-2014 " cigarette Chinese-style cigarette style sensory evaluation method ", apply the method that this standard specifies and can carry out quantitative evaluation to 15 of cigarette kind of odor type, also radar map can be adopted to obtain corresponding evaluation result figure, but be difficult to the similarity analyzing different product comfort characteristic according to quantitative result and radar map intuitively.

For the problems referred to above, how adopting data visualization method, analyze intuitively the similarity of the comfort characteristic of cigarette product and dissimilarity, to meet the demand that cigarette product comparative analysis and category build, is the technical barrier that this area waits to solve.

Summary of the invention

The object of the invention is to for the deficiencies in the prior art part, a kind of cigarette comfort characteristic method for visualizing is provided; Can judge that whether similar the comfort characteristic of each cigarette sample is intuitively according to the shape of star graph, which aspect similar place shows, difference table is which aspect now.

Object of the present invention is achieved by following technical proposals:

1. obtain sensory evaluation data

The valuation officer of cigarette sensory evaluation adopts YC/T497-2014 " cigarette Chinese-style cigarette style sensory evaluation method " to evaluate p comfort characteristic of N number of cigarette sample.

2. the cigarette sensory evaluation data of N number of sample p comfort characteristic is read in Matlab variable X,

$X=\left(\begin{array}{cccc}{x}_{11}& x_{12}& \mathrm{...}& x_{1p}\\ x_{21}& x_{22}& \mathrm{...}& x_{2p}\\ .& .& & .\\ .& .& & .\\ .& .& & .\\ x_{N1}& x_{N2}& \mathrm{...}& x_{Np}\end{array}\right),$

Adopt following normalization to convert and carry out data prediction:

${x^{*}}_{ik}=\frac{x_{ik}-x_{min}}{x_{\max }-x_{min}}(b-a)+a,i=1,...,N,k=1,...,p,$

X in formula _ikbe the raw data of the kth comfort characteristic of the i-th sample, x ^* _ikrepresent the data after conversion, x _max=max _{1≤i≤N, 1≤k≤p}x _ik, x _min=min _{1≤i≤N, 1≤k≤p}x _ik, a=0.05, b=0.95.

3. couple pretreated data X ^*call Matlab function glyphplot and draw cigarette sample star graph, input parameter ' standardize ' value ' off ' of glyphplot.

4. according to the similarity between cigarette sample star graph to sample classification, and call Matlab function glyphplot and draw sub-category sample star graph;

5. the star graph that comparative observation is all kinds of, analyzes the prominent feature of all kinds of star, and uses Matlab graphical tool data vernier to determine the main body comfort characteristic of all kinds of sample.

The invention has the beneficial effects as follows: star graph is lively, directly perceived, very visually cigarette comfort characteristic can be visualized as star feature, the similarity of the comfort characteristic of cigarette product and diversity are analyzed intuitively, to meet the demand that cigarette product comparative analysis and category build.

Accompanying drawing explanation

Fig. 1 is 15 cigarette sample star graphs of the star graph method of identification of a kind of cigarette comfort of the present invention characteristic;

Fig. 2 is 15 cigarette sample star graphs of the sub-category display of the star graph method of identification of a kind of cigarette of the present invention comfort characteristic;

Fig. 3 is the operating process schematic diagram of the star graph method of identification of a kind of cigarette comfort of the present invention characteristic.

Embodiment

In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with the drawings and specific embodiments, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.

As shown in Figure 3, the inventive method chooses the sensory evaluation data of 15 cigarette samples as embodiment, and concrete steps are consistent with step described in summary of the invention part.

1. by sensory evaluating smoking expert to N=15 cigarette sample, p=10 comfort evaluating characteristics data, i.e. table 1;

2. read in Matlab variable X, adopt following normalization to convert and carry out data prediction:

${x^{*}}_{ik}=\frac{x_{ik}-x_{\min }}{x_{\max }-x_{\min }}(b-a)+a,i=1,...,N,k=1,...,p,$

X in formula _ikbe the raw data of the kth comfort characteristic of the i-th sample, x ^* _ikrepresent the data after conversion, x _max=max _{1≤i≤N, 1≤k≤p}x _ik, x _min=min _{1≤i≤N, 1≤k≤p}x _ik, a=0.05, b=0.95.

3. the X of pair pretreated data ^*draw cigarette sample star graph, i.e. Fig. 1;

Perform Matlab order:

N={' sample 1', ' sample 2' ..., ' sample N'};

glyphplot(X ^*,'standardize','off','ObsLabels',n)；

The input parameter of glyphplot ' standardize' value ' off', input parameter uses ' ObsLabels' can make to increase the concrete title n of sample below each star graph.

Known by observing Fig. 1: the star graph of cigarette sample 1,3,9,11,13 is comparatively similar, can be classified as a class (class 1), and remaining sample is comparatively similar is haply divided into a class (class 2).In class 2, can be subdivided into again a class (class 2.1) because cigarette sample 2,4,5,10,12,14 star graph is comparatively similar, the star graph of cigarette sample 6,7,8,15 is comparatively similar is subdivided into a class (class 2.2);

4. according to the similarity between cigarette sample star graph to sample classification, and call Matlab function glyphplot and draw sub-category sample star graph, i.e. Fig. 2;

Star graph can be divided into l=3 class as shown in Figure 1.Note X _j ^*for jth class sample data, n _jfor jth class sample ID;

Perform Matlab order:

Thorn ', ' oral cavity, v={' oral cavity peppery ', ' oral cavity calcination ', ' xerostomia ', ' oral cavity convergence/puckery ', ' oral cavity residual ', ' throat stimulates ', ' throat dry ', ' nasal cavity stimulates ', ' nasal cavity mixes gas ';

forj＝1:l

figure(j)；

glyphplot(X _j ^*,'standardize','off','ObsLabels',n _j,'varlabels',v)；

end

The input parameter of glyphplot ' standardize' value ' off', input parameter uses ' varlabels' can make to show the concrete title v of each comfort characteristic and corresponding value in data vernier, is convenient to all kinds of sample prominent feature of subsequent analyses;

5. the star graph that comparative observation is all kinds of, analyzes the prominent feature of all kinds of star, and uses Matlab graphical tool data vernier to determine the main body comfort characteristic of all kinds of sample.

On Fig. 2, usage data vernier is known: in general, according to comfort characteristic and star graph shape matching, sample 1,2,5,6,7 five kind of sample cigarette to stimulate with throat and oral cavity remains as main body comfort characteristic, also be aided with certain oral cavity convergence/puckery, oral cavity calcination and nasal cavity to mix gas, and the dry and xerostomia of certain oral cavity thorn, throat can be experienced; Sample 2,4,5,10,12,14 6 kind of sample cigarette is puckery with oral cavity convergence and nasal cavity stimulates as main body comfort characteristic, be also aided with that certain oral cavity is residual, throat stimulates, oral cavity thorn, oral cavity be peppery, oral cavity calcination and nasal cavity mix gas; Sample 6,7,8,15 4 kind of cigarette sample stimulate as main body comfort characteristic with mix gas and throat of nasal cavity, is also aided with that certain oral cavity is peppery, oral cavity calcination, convergence puckery and nasal cavity in oral cavity stimulates.

Table 1: raw data

The invention has the beneficial effects as follows: star graph is lively, directly perceived, very visually cigarette comfort characteristic can be visualized as star feature, the similarity of the comfort characteristic of cigarette product and diversity are analyzed intuitively, to meet the demand that cigarette product comparative analysis and category build.

The above, be only the specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, and any change of expecting without creative work or replacement, all should be encompassed in the new protection domain of this practicality.

Claims (3)

1. a star graph method of identification for cigarette comfort characteristic, is characterized in that, comprise the following steps:

Step one, acquisition sensory evaluation data: the valuation officer of cigarette sensory evaluation adopts YC/T497-2014 " cigarette Chinese-style cigarette style sensory evaluation method " to evaluate the comfort characteristic of cigarette sample;

Step 2, cigarette sensory evaluation data is read in Matlab software, adopt specific data normalization method to carry out pre-service;

Step 3, cigarette sample star graph is drawn to pretreated data call Matlab function glyphplot;

Step 4, according to the similarity between cigarette sample star graph to sample classification, and call Matlab function glyphplot and draw sub-category sample star graph;

The star graph that step 5, comparative observation are all kinds of, analyzes the prominent feature of all kinds of star, determines the main body comfort characteristic of all kinds of sample;

Cigarette Analyses Methods for Sensory Evaluation Results by corresponding with star shape for 10 of Chinese-style cigarette comfort characteristics, thus shows with the shape of star by the method.

2. the star graph method of identification of cigarette comfort characteristic as claimed in claim 1, it is characterized in that, the data preprocessing method of described step 2 is:

Following normalization is adopted to convert to the sensory evaluation data of N number of sample p comfort characteristic: i=1 ..., N, k=1 ..., p, x in formula _ikbe the raw data of the kth comfort characteristic of the i-th sample, x ^* _ikrepresent the data after conversion, x _max=max _{1≤i≤N, 1≤k≤p}x _ik, x _min=min _{1≤i≤N, 1≤k≤p}x _ik, a=0.05, b=0.95.

3. the star graph method of identification of cigarette comfort characteristic as claimed in claim 1 or 2, is characterized in that: described step 5 uses Matlab graphical tool data vernier to determine the main body comfort characteristic of all kinds of sample.