CN110349194A - A kind of method for selecting and relevant apparatus of furniture material - Google Patents
A kind of method for selecting and relevant apparatus of furniture material Download PDFInfo
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- CN110349194A CN110349194A CN201910531782.4A CN201910531782A CN110349194A CN 110349194 A CN110349194 A CN 110349194A CN 201910531782 A CN201910531782 A CN 201910531782A CN 110349194 A CN110349194 A CN 110349194A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/40—Analysis of texture
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
Abstract
The application provides a kind of method for selecting of furniture material, comprising: obtains five dimension attribute data of furniture material；Importance comparison is carried out to five dimension attribute data using triangle Fuzzy AHP, determines the optimal weights of furniture material each under different use environments；Material visual sensory point dimension evaluation charter is obtained in the superiority and inferiority degree of each dimension attribute according to furniture material；Optimal furniture material is selected according to optimal weights and material visual sensory point dimension evaluation charter.By carrying out importance comparison to five dimension datas using triangle Fuzzy AHP, the superiority and inferiority situation of furniture material is considered during selected simultaneously, furniture design teacher can be helped preferably to be best suitable for the material of target furniture out in the scheme output stage for designing early period, more scientific, objective quantization is provided for entire design evaluatio system and support and instruct.The application also provides the selecting system, computer readable storage medium and a kind of selected terminal of furniture material of a kind of furniture material, has above-mentioned beneficial effect.
Description
Technical field
This application involves architectural design field, in particular to a kind of the method for selecting and relevant apparatus of furniture material.
Background technique
Modern Furniture Design is absolutely leading design concept using function with product, not only makes furniture item in moulding
On it is more succinct, but also the unification of similar product appearance is increasingly severe.Load of the material as furniture item moulding
Body, the color that material is shown, the visual signatures such as texture and gloss are the direct embodiments of the external visual performance of furniture item,
It is the important reference of user's evaluation a piece of furniture product.Therefore, the trade-off decision of furniture item material is become more to attach most importance to
It wants.
Use to same molded product unlike material can create diversified design expression.By material itself spy
The visual experience that point and post-production show, can greatly affect the experience of people.On the one hand, from consumer angle
For, the furniture item of same or similar moulding is manufactured using the material with different visual signatures, and energy band is complete to people
Complete totally different sensory experience.On the other hand, to the selection and furniture design teacher of materials'use in furniture design in the design phase
The content that necessary emphasis is held, decides the final expression of designer's design idea.
In terms of being also focused only on furniture style and color for the technical research of furniture design sense organ at present, it is not yet directed to material
Material field has focused largely on the evaluation to material physical property, Wu Faman in terms of the design evaluatio research of Material Field
Sufficient user demand.
Summary of the invention
The purpose of the application is to provide method for selecting, selecting system, the computer readable storage medium of a kind of furniture material
With a kind of selected terminal of furniture material, solves existing furniture design field and be difficult to selected meet visual perception's difference demand
Problem.
In order to solve the above technical problems, the application provides a kind of method for selecting of furniture material, specific technical solution is as follows:
Obtain five dimension attribute data of the furniture material；
Importance comparison is carried out to the five dimension attributes data using triangle Fuzzy AHP, is determined in different uses
The optimal weights of each furniture material under environment；
Material visual sensory point dimension evaluation charter is obtained in the superiority and inferiority degree of each dimension attribute according to the furniture material；
Optimal furniture material is selected according to the optimal weights and the material visual sensory point dimension evaluation charter.
Wherein, importance comparison is carried out to the five dimension attributes data using triangle Fuzzy AHP, determined not
With the furniture material each under use environment optimal weights when, further includes:
Consistency detection is carried out to average value matrix；Wherein, the average value matrix is obtained by the five dimension attributes data.
Wherein, material visual sensory point dimension evaluation charter is obtained in the superiority and inferiority degree of each dimension attribute according to the furniture material
Include:
Adjective scale is passed judgement in foundation；
Adjective scale building material visual sensory point dimension evaluation charter is passed judgement on according to described.
Wherein, the adjective scale of passing judgement on is 7 semantic difference scales；In 7 semantic difference scales closer to
Commendatory term score is higher, lower closer to derogatory term score, is scored at 4 and represents neutral words.
Wherein, optimal furniture material packet is selected according to the optimal weights and the material visual sensory point dimension evaluation charter
It includes:
The evaluation point of the furniture material is obtained according to the material visual sensory point dimension evaluation charter；
Data processing is carried out to the optimal weights and the evaluation point using preset ratio parameter and obtains each furniture
The total score of material；
The highest furniture material of total score is optimal furniture material.
Wherein, each dimension data includes two opinion scales, then according to the material visual sensory point dimension evaluation charter
The evaluation for obtaining the furniture material, which divides, includes:
It is divided to dimension evaluation charter to calculate the furniture material in two evaluations of single dimension according to the material visual sensory
The first evaluation point under scale；
Comprehensive five single dimensions corresponding described first evaluate the evaluation point for getting the furniture material.
The application also provides a kind of selecting system of furniture material, comprising:
Module is obtained, for obtaining five dimension attribute data of the furniture material；
Evaluation module, for carrying out importance comparison to the five dimension attributes data using triangle Fuzzy AHP,
Determine the optimal weights of the furniture material each under different use environments；
Table module is built, for obtaining material visual sensory point dimension in the superiority and inferiority degree of each dimension attribute according to the furniture material
Evaluation charter；
Chosen module, for selecting optimal family according to the optimal weights and the material visual sensory point dimension evaluation charter
Has material.
Wherein, further includes:
Consistency detection module, for carrying out consistency detection to average value matrix；Wherein, the average value matrix is by institute
Five dimension attribute data are stated to obtain.
The application also provides a kind of computer readable storage medium, is stored thereon with computer program, the computer journey
The step of method for selecting as described above is realized when sequence is executed by processor.
The application also provides a kind of selected terminal of furniture material, including memory and processor, deposits in the memory
There is computer program, the processor realizes method for selecting as described above when calling the computer program in the memory
Step.
The application provides a kind of method for selecting of furniture material, comprising: obtains five dimension attribute data of the furniture material；
Importance comparison is carried out to the five dimension attributes data using triangle Fuzzy AHP, is determined each under different use environments
The optimal weights of the furniture material；Material visual sensory point is obtained in the superiority and inferiority degree of each dimension attribute according to the furniture material
Tie up evaluation charter；Optimal furniture material is selected according to the optimal weights and the material visual sensory point dimension evaluation charter.
The application is by carrying out importance comparison, available furniture to five dimension datas using triangle Fuzzy AHP
Application of the material under different use environments shows, while the superiority and inferiority situation of furniture material, Neng Goubang are considered during selected
It helps furniture design teacher to be preferably best suitable for the material of target furniture out in the scheme output stage for designing early period, is entire design evaluatio
System provides more scientific, objective quantization and supports and instruct.The application also provides a kind of selecting system of furniture material, calculates
Machine readable storage medium storing program for executing and a kind of selected terminal of furniture material have above-mentioned beneficial effect, and details are not described herein again.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The embodiment of application for those of ordinary skill in the art without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
Fig. 1 is a kind of flow chart of the method for selecting of furniture material provided by the embodiment of the present application；
Fig. 2 is a kind of selecting system structural schematic diagram of furniture material provided by the embodiment of the present application.
Specific embodiment
To keep the purposes, technical schemes and advantages of the embodiment of the present application clearer, below in conjunction with the embodiment of the present application
In attached drawing, the technical scheme in the embodiment of the application is clearly and completely described, it is clear that described embodiment is
Some embodiments of the present application, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art
Every other embodiment obtained without making creative work, shall fall in the protection scope of this application.
Referring to FIG. 1, Fig. 1 is a kind of flow chart of the method for selecting of furniture material provided by the embodiment of the present application, it should
Method for selecting includes:
S101: five dimension attribute data of the furniture material are obtained；
This step is intended to obtain five dimension attribute data.The five dimension attributes data can be using the nine of scoring range 0.1-0.9
Grade standards of grading.Five dimension attribute data include practical sense data, aesthetic appearance data, environmental protection sense data, economic sense data and text
Allelopathic data.
It is easily understood that different furniture materials has not in five dimensions of practical, beautiful, environmentally friendly, economic, cultural sense
Same performance, this is the build-in attribute of every kind of furniture material.
S102: importance comparison is carried out to the five dimension attributes data using triangle Fuzzy AHP, is determined not
With the optimal weights of the furniture material each under use environment；
This step it needs to be determined that under different use environments each furniture material optimal weights, Triangle Module can be used
Paste number step analysis determines weight that specific furniture requires material image.
Specifically, using the marking rule of Triangular Fuzzy Number, expert crowd compares the significance level of rule layer two-by-two
Compared with marking, development of judgment matrix R.Unlike often using 1-9 grades of scaling laws from traditional analytic hierarchy process (AHP), marked using 0.1-0.9 grades
Degree method can preferably react the actual assessment of wood for furniture.0.1-0.9 grades of scales and its concrete meaning are as shown in table 1:
1 0.1-0.9 grades of scoring scale of table and its meaning
To building destination layer element with next layer of element B1, B2, B3……BnBetween judgment matrix, need expert with
Triangular Fuzzy Number Mij=(lij, mij, uij) judge element BiTo element BjRelative importance, with a pair of element on the contrary relatively then
It is expressed as Mij'=(1-uij, 1-mij, 1-lij).Wherein by mijExpression judges most likely value, lijAnd uijWhat is then indicated is judgement
Possible range.It is as shown in table 2 below with the triangle Fuzzy Complementary Judgment Matrices M of this rule building:
2 triangle Fuzzy Complementary Judgment Matrices of table
Further, it is also possible to carry out consistency detection to average value matrix, the marking of all experts is counted, if it exists
T parts of evaluation data are then calculated triangle according to Mean Value Formulas and obscure average value matrixIt constructs triangle and obscures average value square
Battle array specific formula is as follows:
According to the theorem of consistency check it is found that if the middle value matrix in the average value matrix of building is with uniformity,
Triangular Fuzzy Number matrix is also with uniformity.It extractsIntermediate value obtains complementary fuzzy judgment matrix M, then can be turned according to formula
Turn to fuzzy consistent matrix M '.The quantity of this level element is represented with n, then conversion formula is as follows:
If M ' meets the requirement of consistency, can approximately thinkAlso meet consistency.In order to examine whether M ' meets
Actual conditions can be examined by calculating δ and σ, indicate that result by consistency check, otherwise needs if δ < 0.2 and σ < 0.1
Matrix is adjusted to recalculate.The calculation formula of δ and σ is as follows:
δ=max | m 'ij-mij|}
The solution that weight coefficient is carried out to the matrix by consistency check, needs to enable DiIt indicates the in fuzzy judgment matrix
Synthesis importance value of the i evaluation index relative to other all indexs, enables MjEiIndicate the important journey of j-th of evaluation index
Angle value calculates the weight of each criterion.Calculate specific formula is as follows:
It is assumed that triangle ambiguity function DB1=(l1, m1, u1), DB2=(l2, m2, u2), compare it two-by-two and integrates important journey
Angle value, and parameter BiBetter than the pure measurement degree of other indexs, with d (Bi) index represents BiBetter than the pure measurement of other indexs
Degree, has formula as follows:
d(Bi)=min { ∨ (DBi≥DBk) (k=1,2,3 ... n)
By above-mentioned calculating, the weight fuzzy vector W=(d (B of available all evaluation indexes of layer1), d (B1), d
(B1) ... d (Bn))T, after being finally normalized, the normalized vector of each weight can be obtained.
Enable W=(w1, w2, w3, w4, w5) for the furniture under specific context of use, when carrying out material selection, material perception is evaluated
Sum vector, if having T parts of evaluation data, with S1, S2, S3, S4, S5Candidate materials are respectively represented in the evaluation score of 5 dimensions, that
The synthesis mean total scores that candidate materials are evaluated in specific furniture material image can be obtained according to formula
By the calculated comprehensive mean total scores of above formula, it is combined with furniture material image weight and material image score
Comprehensive Fuzzy Evaluation illustrates the visual sensory image that candidate materials are shown in target furniture, can be used as and is carrying out house
Has reference when designing material selection.
S103: material visual sensory point dimension evaluation amount is obtained in the superiority and inferiority degree of each dimension attribute according to the furniture material
Table；
Previous furniture design teacher is main to the selection of material to carry out by virtue of experience and to the judgement in market, by personal subjective
Be affected, need a kind of method of more scientific quantification to evaluate the visual sensory image of specific material.It therefore, can be to material
The visual imagery of material is quantified, and the material visual imagery evaluation being more clear is obtained.Specifically, can be existed according to furniture material
The superiority and inferiority degree of each dimension attribute obtains material visual sensory point dimension evaluation charter.Preferably, Semantic Differential can be used.
In concrete application Semantic Differential, since this method only indicates to describe lexicon to both ends in Kansei word to things
The description of conjunction degree, scoring can not directly reflect the superiority and inferiority degree that user evaluates things.If Kansei word is to " nice and cool
- warm ", it can only reflect people to the tendency of things emotion cognition, be not to say that " nice and cool " image cognitive is better than
" warm " image cognitive.However the furniture material optimization model requirement constructed in the present invention is to the evaluation score of furniture material
It is able to reflect the height that material is evaluated under different latitude, it is therefore desirable to which satisfaction research is adjusted to the structure of Kansei word pair
It needs.Since the emotion of people normally behaves as inner experience in opposition to each other, positive and negative two are carried out to experience from the angle of semantics
There have been the semantic phenomena that commendation and two kinds of derogatory sense possess powerful contrast for the conclusion of aspect.Therefore, it can use and pass judgement on each other
Antonym passes judgement on adjective to constructing evaluation charter, by the score of scale can directly obtain under different dimensions to material
Expect the superiority and inferiority of visual imagery evaluation, simplify evaluation rubric, improves evaluation efficiency.
The embodiment of the present application provides a kind of method for building up for passing judgement on adjective scale herein, certainly it is easily understood that may be used also
To there is user's subjective desire statistical method of other forms.
It may include two opinion scales for each dimension, a kind of preferred material visual sensory point dimension be provided herein
The opinion scale of evaluation charter refers to, referring to table 3:
3 furniture material visual sensory evaluation charter of table
On the basis of above-mentioned opinion scale, using 7 semantic difference scales, divide point-score score, it is specified that score with 1-7
Material image is higher closer to commendatory term score, lower closer to derogatory term score, is scored at 4 representatives and does not anticipate significantly
As preference.
Commendatory term is always contacted with the image of " good " in passing judgement on vocabulary evaluation, and derogatory term is always the same as the image of " bad "
Correlation, therefore evaluation score is higher, then relatively better emotion can be brought to people under this opinion scale by representing such material
Experience.Simultaneously as including two opinion scales under each dimension, therefore the total score of each dimension is equal to two scales of subordinate and comments
The sum of score of valence.Dimension total score more Gao Ze represents that material image is higher in the evaluation of this dimension, and whole total score is higher,
The material is then represented with higher overall visual image.By evaluation charter, material can be obtained on each evaluative dimension
Score and overall assessment score, can also to material visual signature perception evaluation analyze.
S104: optimal furniture material is selected according to the optimal weights and the material visual sensory point dimension evaluation charter.
After obtaining optimal weights and material visual sensory point dimension evaluation charter, optimal furniture can be selected accordingly.It is preferred that
, a kind of specifically selected process is provided herein:
The evaluation point of the furniture material is obtained according to the material visual sensory point dimension evaluation charter；Utilize preset ratio
Parameter carries out data processing to the optimal weights and the evaluation point and obtains the total score of each furniture material；The total score is most
High furniture material is optimal furniture material.
Preferably, when each dimension data includes two opinion scales, first basis is answered in the evaluation timesharing for calculating furniture material
The material visual sensory is divided to dimension evaluation charter to calculate first of the furniture material under two opinion scales of single dimension
Evaluation point, then comprehensive five single dimensions corresponding described first evaluate the evaluation point for getting the furniture material.Specific meter
Calculation mode can be such that
Sn (n=1,2,3,4,5) is enabled to respectively represent a total score for evaluation of material dimension, with Pn, Pn ' (n=1,2,3,4,
5) two opinion scales under each dimensional attribute are represented, whole total score are represented with S, then scale data have following relationship:
Sn=Pn+Pn'
S=S1+S2+S3+S4+S5
The embodiment of the present application can be obtained by carrying out importance comparison to five dimension datas using triangle Fuzzy AHP
It is showed to application of the furniture material under different use environments, while considering the superiority and inferiority situation of furniture material during selected,
Furniture design teacher can be helped preferably to be best suitable for the material of target furniture out in the scheme output stage for designing early period, entirely to set
It counts evaluation system and more scientific, objective quantization support and guidance is provided.
Application scheme is described with a kind of specific embodiment below:
By using kitchen cabinet product the investigation of material, according to factors such as frequency of use, market sales volume and price positionings,
It selects 6 kinds of wooden materials as primary election candidate materials, is ash wood, red oak, cherry, alder, teak and black Hu respectively
Mahogany.In order to keep evaluation with discrimination and more reasonable in color variance, by the expert with Furniture Design Majors
It discusses, finally determines 3 kinds of obvious wood materials of wooden material primary colors discrimination, be the shallower Chinese wax of color respectively
Wood, the moderate teak of color and the deeper Black walnut of color.
For the evaluation of wooden kitchen cabinet material visual sensory feature, need to consider to be surface-treated the influence to actual conditions.
The method that the selection of this example is covered with paint, lacquer, colour wash, etc. is surface-treated alternative wood materials.The covering with paint of wooden furniture according to the type of coating, apply
Process and the difference to finishing requirements are adornd, there is different classification, classification and respective feature, timber
Texture can be divided into transparent coating and opaque covering with paint；Lustrous surface can be divided into light and cover with paint, lacquer, colour wash, etc. and matt covering with paint.Due to this progress
Color difference is larger between the timber of evaluation, and influence of the transparent coating to its wood color is limited, can still be covered with paint, lacquer, colour wash, etc. that treated
Timber is considered as to former coloured classification.In conclusion this evaluation selects the aobvious aqueous light in hole to cover with paint, lacquer, colour wash, etc., the table that wood wax oil is covered with paint, lacquer, colour wash, etc.
Surface treatment mode, while increasing timber element plate sample and being tested as a control group.
Need to obtain the information in kind of material surface color and texture first to the visual simulation of sample of material, it is therefore desirable to
Make sample in kind.It buys with a batch of ash wood, teak and Black walnut sawn timber from lumber market to eliminate different batches
The influence of Wood color difference of the same race.Every kind of timber chooses the radial texture of sawn timber respectively and tangential texture passes through sawing, planer
And the process of polishing sanding, sample block is made.It carries out the aobvious aqueous light in hole to sample block to cover with paint, lacquer, colour wash, etc., wood wax oil is covered with paint, lacquer, colour wash, etc. processing and do not applied
Evaluation sample block is selected in decorations processing preparation.
Since 3 kinds of timber respectively have 2 textures and 3 kinds of processing modes, the different timber sample block of 18 classes is obtained.In order to
Exclude influence of the texture difference to result when evaluation, the sample block of each type using the sawn timber of purchase made totally 3 it is identical
The sample of type finally obtains the candidate materials sample of 54 pieces of kitchen cabinet furniture material sensitive designs evaluation.The coding rule of sample
Are as follows: color (light ash wood [1]；Neutral colour teak [2]；Color Black walnut [3])；Texture (radial texture [1]；Tangential texture
[0])；Gloss (light [1]；Light [2]；Plate [3]).Same type of sample block is distinguished with alphabetical A, B, C.Such as it is all shallow
The plain plate of the tangential texture of color ash wood is then denoted as 103A, 03B, 103C.Finally, 54 pieces of sample materials of acquisition are utilized scanning
Instrument obtains textures of its surface visual signature as production simulated digital sample, and the working principle of scanner makes the sample obtained
Specular gloss is not shown, needs further to be adjusted when emulation.It in general, all can be right in Furniture manufacture
The furniture parts that the process that material carries out jigsaw facilitates the manufacture processing scale of construction bigger, this repeats the decorative pattern of wooden furniture often
And it is continuous, in order to make evaluation closer to truth, 54 timber textures of acquisition are done into mirror image picture mosaic processing, are obtained final
Digital Simulation textures, scan acquisition original image and jigsaw sample.
It since 3D design effect does not have product entity, is only shown by way of image, while utilizing 3D software
(this example is using 3Dmax software) can be very good to reflect light source and control, and reduce to the greatest extent due to environment
Uncertainty impacts material visual signature, obtains more accurate evaluation result.Therefore produced in 3D software with
The 3D model of the same specification size of samples pictures after jigsaw processing is that model carries out textures using Rendering Plug Vary3.0.Together
When, in order to obtain more true material texture texture, use to scan the identical black and white picture of textures texture as when rendering
Bump Mapping.Environment light source is adjusted in 3Dmax software, fixes the sheet light source irradiation material surface of 45 degree of incidence angles, root
Factually the Character adjustment rendering parameter of object sample block and with material front view carry out rendering obtain Digital Simulation sample.It is defeated using software
Material digitalized artificial picture out, the alternative timber evaluation Digital Simulation samples pictures of three groups finally obtained.
This example evaluates the experts and scholars for having invited furniture design industry at random out of the whole country, abundant in expert group
After having understood requirement of experiment and code of points, it is desirable that according to the understanding to Young Patients, to the material of Young Patients kitchen cabinet product
Image evaluation index is compared two-by-two, with B1, B2, B3, B4, B5 respectively indicate material visual imagery evaluation in practical sense,
Aesthetic appearance, economic sense, environmental protection sense and culture sense, with the substantive requirements of form expert group of papery questionnaire using Triangular Fuzzy Number rule into
Row marking.Every group of marking is made of three numbers, and intermediate number represents expert and thinks that Young Patients anticipate to kitchen cabinet furniture material
As relative evaluation most likely value, former and later two numbers represent the possible range of relative evaluation.
Young Patients kitchen cabinet is obtained according to the formula that building triangle described above obscures average value matrix after arrangement data
The average value matrix of material image evaluation, as shown in table 4.
4 Young Patients kitchen cabinet material image of table evaluates average value matrix
It is in next step the consistency of test matrix after obtaining average value matrix.The intermediate value for extracting average value matrix obtains mould
Judgment matrix M is pasted, and its fuzzy consistent matrix M ' is obtained according to conversion formula described above, as shown in table 5.
5 fuzzy consistent matrix of table
Then the consistency of M ' is examined using the calculation formula of δ and σ.δ=0.0778 is obtained after calculating, σ=0.0074 is full
Sufficient δ < 0.2 and σ < 0.1, hence it is demonstrated that the matrix of building passes through inspection.The synthesis fuzzy value D of B hierarchical elements is calculated againBi(i=1,
2,3 ... n), and result is as follows:
DB1=(0.1382,0.2126,0.3456)
DB2=(0.1221,0.1878,0.3157)
DB3=(0.1221,0.2004,0.3187)
DB4=(0.1407,0.2373,0.3556)
DB5=(0.0962,0.1619,0.2789)
The parameter B after relatively more comprehensive importance value two-by-twoiFor the pure measurement degree of other indexs, index power is obtained
Weight fuzzy vector W, obtains the fuzzy weighted values of B layers of element after W is normalized are as follows:
WB=(0.2152,0.1880,0.1997,0.2411,0.1560)
As can be seen from the results, the design image power of each dimension kansei image evaluation of the material that Young Patients use kitchen cabinet furniture
It is again respectively practical sense (21.52%), aesthetic appearance (18.8%), economy sense (19.97%), environmental protection sense (24.11%) and culture
Feel (15.6%).As can be seen that Young Patients are when selecting the material of kitchen cabinet product, what is most valued is the ring of material visual sensory
Sense (24.11%), followed by practical sense (21.52%) and economic sense (19.97%) are protected, and for the beauty of material visual sensory
Perception (18.8%) and culture sense (15.6%) require relatively low.
Semantic point of dimension evaluation of perception is carried out to candidate materials using the semantic perceptual evaluation charter of passing judgement on of building.For this reality
Target group has carried out questionnaire investigation in example, and every part of questionnaire only includes one group in tri- groups of samples of A, B, C, is collected into questionnaire data
Afterwards, two pairs under each dimension are passed judgement on into perception and describes that vocabulary acquires average value, available every type to scoring phase adduction
Average of the sample of type under each self-induction dimension, as shown in table 6:
Point dimension evaluation average of 6 wood sample of table
Obtaining the sensitive design evaluation weight of Young Patients wooden kitchen cabinet material and to alternative wood materials in different views
After feeling the perception evaluation score under image evaluative dimension.Each alternative timber can be calculated in Young Patients wooden kitchen cabinet sense
The mean total scores of property design evaluatio.The total score of specific material is as shown in table 8.
As shown in Table 7, it averagely must highest be No. 311 samples, therefore illustrate that Young Patients think the diameter of Black walnut
To light coating material in wooden kitchen cabinet furniture design, preferable design effect can be obtained, realizes furniture kitchen cabinet material
It is preferred.Influence for more each material visual signature of progress to evaluation, can also draw special based on different wood materials
Levy the average mark histogram of variable.By histogram results it is found that Young Patients are used for kitchen cabinet furniture material to dark Black walnut
Perception is had higher rating.From the point of view of the grain angle of timber, Young Patients are to the evaluation of radial texture less times greater than tangential line
Reason, but difference is very small, and not being found young user has apparent preference to radial texture and the tangential texture of tangential texture.
In the gloss characteristics of timber, Young Patients will be higher than the evaluation of light and matt to the evaluation of plain plate.From the point of view of TOP SCORES,
Design overall assessment of the Young Patients to wood materials for kitchen cabinet furniture is higher, illustrates Young Patients for wooden kitchen cabinet furniture
There is preferable acceptance.
7 wooden kitchen cabinet evaluation of material mean total scores of table
A kind of selecting system of furniture material provided by the embodiments of the present application is introduced below, one kind described below
The selecting system of furniture material can correspond to each other reference with a kind of above-described method for selecting of furniture material.
Fig. 2 is a kind of selecting system structural schematic diagram of furniture material provided by the embodiment of the present application, the selecting system
May include:
The application also provides a kind of selecting system of furniture material, and specific technical solution is as follows:
The application also provides a kind of selecting system of furniture material, comprising:
Module 100 is obtained, for obtaining five dimension attribute data of the furniture material；
Evaluation module 200, for carrying out importance pair to the five dimension attributes data using triangle Fuzzy AHP
Than determining the optimal weights of the furniture material each under different use environments；
Table module 300 is built, obtains material visual sensory for the superiority and inferiority degree according to the furniture material in each dimension attribute
Divide dimension evaluation charter；
Chosen module 400, for selected most according to the optimal weights and the material visual sensory point dimension evaluation charter
Excellent furniture material.
Present invention also provides a kind of computer readable storage mediums, have computer program thereon, the computer program
The step of being performed the method for selecting that a kind of furniture material provided by above-described embodiment may be implemented.The storage medium can be with
It include: USB flash disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random
Access Memory, RAM), the various media that can store program code such as magnetic or disk.
Present invention also provides a kind of terminals, may include memory and processor, have computer in the memory
When the processor calls the computer program in the memory, one kind provided by above-described embodiment is may be implemented in program
The step of method for selecting of furniture material.Certain terminal can also include various network interfaces, the components such as power supply.
Each embodiment is described in a progressive manner in specification, the highlights of each of the examples are with other realities
The difference of example is applied, the same or similar parts in each embodiment may refer to each other.For embodiment provide system and
Speech, since it is corresponding with the method that embodiment provides, so being described relatively simple, related place is referring to method part illustration
?.
Specific examples are used herein to illustrate the principle and implementation manner of the present application, and above embodiments are said
It is bright to be merely used to help understand the present processes and its core concept.It should be pointed out that for the ordinary skill of the art
For personnel, under the premise of not departing from the application principle, can also to the application, some improvement and modification can also be carried out, these improvement
It is also fallen into the protection scope of the claim of this application with modification.
It should also be noted that, in the present specification, relational terms such as first and second and the like be used merely to by
One entity or operation are distinguished with another entity or operation, without necessarily requiring or implying these entities or operation
Between there are any actual relationship or orders.Moreover, the terms "include", "comprise" or its any other variant meaning
Covering non-exclusive inclusion, so that the process, method, article or equipment for including a series of elements not only includes that
A little elements, but also including other elements that are not explicitly listed, or further include for this process, method, article or
The intrinsic element of equipment.In the absence of more restrictions, the element limited by sentence "including a ...", is not arranged
Except there is also other identical elements in the process, method, article or apparatus that includes the element.
Claims (10)
1. a kind of method for selecting of furniture material characterized by comprising
Obtain five dimension attribute data of the furniture material；
Importance comparison is carried out to the five dimension attributes data using triangle Fuzzy AHP, is determined in different use environments
Under each furniture material optimal weights；
Material visual sensory point dimension evaluation charter is obtained in the superiority and inferiority degree of each dimension attribute according to the furniture material；
Optimal furniture material is selected according to the optimal weights and the material visual sensory point dimension evaluation charter.
2. method for selecting according to claim 1, which is characterized in that using triangle Fuzzy AHP to five dimension
Attribute data carries out importance comparison, when determining the optimal weights of the furniture material each under different use environments, further includes:
Consistency detection is carried out to average value matrix；Wherein, the average value matrix is obtained by the five dimension attributes data.
3. method for selecting according to claim 1, which is characterized in that according to the furniture material each dimension attribute superiority and inferiority
Degree obtains material visual sensory point dimension evaluation charter
Adjective scale is passed judgement in foundation；
Adjective scale building material visual sensory point dimension evaluation charter is passed judgement on according to described.
4. method for selecting according to claim 3, which is characterized in that the adjective scale of passing judgement on is 7 semantic differences
Scale；It is higher closer to commendatory term score in 7 semantic difference scales, it is lower closer to derogatory term score, it was scored at for 4 generations
Table neutral words.
5. method for selecting according to claim 1, which is characterized in that according to the optimal weights and the material visual impression
A sight point dimension evaluation charter selectes optimal furniture material and includes:
The evaluation point of the furniture material is obtained according to the material visual sensory point dimension evaluation charter；
Data processing is carried out to the optimal weights and the evaluation point using preset ratio parameter and obtains each furniture material
Total score；
The highest furniture material of total score is optimal furniture material.
6. method for selecting according to claim 5, which is characterized in that each dimension data includes two opinion scales, then
Include: according to the evaluation point that the material visual sensory point dimension evaluation charter obtains the furniture material
It is divided to dimension evaluation charter to calculate the furniture material in two opinion scales of single dimension according to the material visual sensory
Under first evaluation point；
Comprehensive five single dimensions corresponding described first evaluate the evaluation point for getting the furniture material.
7. a kind of selecting system of furniture material characterized by comprising
Module is obtained, for obtaining five dimension attribute data of the furniture material；
Evaluation module is determined for carrying out importance comparison to the five dimension attributes data using triangle Fuzzy AHP
The optimal weights of each furniture material under different use environments；
Table module is built, for obtaining material visual sensory point dimension evaluation in the superiority and inferiority degree of each dimension attribute according to the furniture material
Scale；
Chosen module, for selecting optimal wood for furniture according to the optimal weights and the material visual sensory point dimension evaluation charter
Matter.
8. selecting system according to claim 7, which is characterized in that further include:
Consistency detection module, for carrying out consistency detection to average value matrix；Wherein, the average value matrix is by described five
Dimension attribute data obtain.
9. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program quilt
The step of processor realizes method for selecting as claimed in any one of claims 1 to 6 when executing.
10. a kind of selected terminal of furniture material, which is characterized in that including memory and processor, have in the memory
Computer program, the processor are realized when calling the computer program in the memory such as any one of claim 1-6 institute
The step of method for selecting stated.
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| CN201910531782.4A CN110349194A (en) | 2019-06-19 | 2019-06-19 | A kind of method for selecting and relevant apparatus of furniture material |
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Application publication date: 20191018 |