37 results about "Multi criteria decision" patented technology

An embodiment of the invention provides a pollution risk grading method for a landfill site. The pollution risk grading method for the landfill site comprises the steps of obtaining basic data of multiple pollution risk grading indexes of the landfill site and calculating the correlation among the risk grading indexes according to the basic data of the risk grading indexes and a risk grading index evaluation system to ensure the independence of the indexes; determining weight values of the risk grading indexes and performing sensitive analysis on the weight values of the risk grading indexes to ensure that the weight values of the risk grading indexes are accurate; and inputting the weight values of the risk grading indexes into a multi-criteria decision analysis model to calculate a risk value of landfill site pollution so as to perform risk grading scoring of landfill site pollution. Correspondingly, an embodiment of the invention furthermore provides a pollution risk grading apparatus for the landfill site. According to the technical scheme provided by the embodiments of the invention, the groundwater pollution risk of a hazardous waste landfill site can be subjected to grading evaluation quickly and accurately, so that a risk grading result is more scientific.

The invention discloses a progressive die complex metal sheet member stamping process sequence planning method, comprising steps of performing metal plate characteristic identification, bending and expanding, generating a stock layout characteristic, and formulating a stock layout rule, listing all possible layout schemes by adopting a sequencing planning matrix, a synchronization sequence planning matrix, and an idle station planning matrix, listing all possible stock layout schemes, establishing an influence factor set U=[u1,u2,u3... un] and a corresponding weight set A=[w1,w2,w3, ...,wn], wherein w1+w2+w3+...+wn=1 and 0<=w1,w2,w3, ...,wn<=1, and calculating the multi-norm decision total score Ev sigma(j=i)<n>wjuj=w1*u1+w2*u2+w3*u3...wn*un according to the influence factor and the corresponding weight, wherein when the Ev value is the maximum, the scheme is optimal. The invention is simple and can obtain the optimal scheme through the data, can manufacture the correct working station stock layout without the stamping and processing knowledge and experience of the design personnel, gets rid of the designer, realizes the intelligent designing in a real meaning, and realizes the processing of the standardization production.

The invention provides a terrain adaptive area selecting scheme based on hierarchical decision making, and belongs to the field of terrain assisting navigation. The terrain adaptive area selecting scheme involves a threshold value judgment model and a multi-criterion decision making model, wherein 1, the terrain adaptability is described by terrain characteristic parameters; 2, the threshold valuejudgment model comprises necessary conditions and sufficient conditions of an adaptive terrain, and the necessary conditions and the sufficient conditions are used for detecting an obvious inadaptiveterrain and an obvious adaptive terrain with high accuracy separately and transmitting a to-be-determined area to the multi-criterion decision making model; 3, according to the difficulty of modelingthe to-be-determined area, the multi-criterion decision making model builds one or more classifier models through a mode recognition method, and through decision making or merging decision making, anadaptive judgment result of the to-be-determined area is given. By the adoption of a hierarchical decision making scheme, by reducing the model adaptive range, the decision making efficiency and thedecision making reliability are effectively improved.

The invention provides a terrain adaptation area selection scheme based on hierarchical decision-making, which belongs to the field of terrain-assisted navigation, including a threshold discrimination model and a multi-criteria decision-making model: (1) terrain adaptability is described by terrain characteristic parameters; (2) The threshold discriminant model includes necessary and sufficient conditions for adaptive terrain, which are used to detect significantly unsuitable terrain and significantly adapted terrain with high accuracy, and transfer the undetermined area to the multi-criteria decision-making model; (3) Multi-criteria decision-making model According to the difficulty of modeling the undetermined area, one or more classifier models are established by using the pattern recognition method, and the suitability judgment result of the undetermined area is given through decision-making or fusion decision-making. The invention adopts a layered decision-making scheme, and effectively improves decision-making efficiency and decision-making reliability by narrowing the applicable range of the model.

The invention discloses a satellite communication channel resource allocation method based on multi-criterion decision making (MCDM). The method comprises the steps of: designing and configuring a satellite communication channel resource allocation strategy; establishing hierarchical MCDM model, screening the obtained available resources through a forced constraint condition; enabling resources meeting the mandatory constraint conditions to be subjected to resource allocation; according to the strategy requirements of the satellite communication resource management system in different scenes,giving different weights to all the non-forced constraint condition indexes, comprehensively sorting available satellite communication resources, wherein a sorting result serves as available resourcecandidate sorting, and therefore reasonable assessment of the available resources is achieved, and reasonable allocation of the resources is completed.

A multi-criteria decision making method for an airplane design economic affordability evaluation process includes step 1, determining design variables and fixed parameters of airplane design, and optionally distributing the design variables to reflect indeterminacy of a design stage; step 2, taking main design parameters as analytic objects, and checking the probability of technological feasibility of a design scheme; step3, on the basis of a technological feasibility analysis result, checking the probability of expense affordability of the design scheme; step 4, if the design scheme is feasible in terms of airplane design technology and is receptible in terms of economic affordability, determining that the design scheme is receptible. Fuzzy interval number and RD (robust design) are combined organically on the basis of probability technology to create the probability multi-criteria decision making method based on the fuzzy interval number and the RD.

An automobile engine fault maintenance method based on Bayesian network models and multi-criteria decision analysis includes: using each fault category and each fault source under each fault category, which affect an automobile engine, to build Bayesian network models so as to obtain a first probability value of each fault category and a second probability value of each fault source; respectively determining standardized weight of each decision criterion through multi-criteria decision analysis according to the decision criteria; obtaining a first effect value of each fault category according to each decision criterion, the standardized weight and the first probability value, selecting the fault category with the highest first effect value, obtaining a second effect value of each fault source under the fault category with the highest first effect value, and selecting the fault source with the highest effect value in the second effect values to serve as the maintenance judging results.

A corrugated carton paper distribution and material selection optimization method based on mixed mathematical model analysis is characterized in that a combined mixed mathematical model is formed on the basis of mathematical models of a data envelopment analysis method (DEA) and an entropy weight method (EWM) and in combination with a mathematical model of a superior and inferior solution distance method (TOPSIS), and according to the principle of a multi-criterion decision model material selection method, based on the mixed mathematical model, paper distribution and material selection of a corrugated carton are optimized. And carrying out material selection on the corrugated carton paper distribution by adopting cross efficiency combination model analysis. According to the method, the evaluation index data for evaluating the corrugated carton can be obtained only by determining the size and the weight of the content and by means of cross efficiency calculation and analysis; and calculating the closeness and ranking of each candidate paper matching scheme by utilizing the constructed mathematical model to obtain the optimal material and configuration scheme of the corrugated carton. In addition, the coupling effect of various variable factors is considered, overall optimization is taken as a target, a scientific and effective method is provided for selection and decision-making of corrugated carton materials, and the uncertainty of material selection and matching in the corrugated carton design stage is reduced.

The invention relates to a detection restorative method of hydraulic valve jamming and chucking faults, which comprises a detection step, a judgment step and an execution step which are carried out through electric connection. The judgment step is that jamming and chucking membership degree judgment is given out through a fuzzy multi-criteria decision making theory method according to average value information of control signals output through the detection step, frequency of shimmy signals, peak-to-peak value and wave distortion. By means of the technical scheme, the detection restorative method can detect and judge the jamming and chucking faults of a slide valve plug in real time and repair the jamming and chucking faults caused by pollution and imbalance radial force by using supersonic vibration, and the detection restorative method is simple and convenient in method and low in cost.

The invention discloses a progressive die complex metal sheet member stamping process sequence planning method, comprising steps of performing metal plate characteristic identification, bending and expanding, generating a stock layout characteristic, and formulating a stock layout rule, listing all possible layout schemes by adopting a sequencing planning matrix, a synchronization sequence planning matrix, and an idle station planning matrix, listing all possible stock layout schemes, establishing an influence factor set U=[u1,u2,u3... un] and a corresponding weight set A=[w1,w2,w3, ...,wn], wherein w1+w2+w3+...+wn=1 and 0<=w1,w2,w3, ...,wn<=1, and calculating the multi-norm decision total score Ev sigma(j=i)<n>wjuj=w1*u1+w2*u2+w3*u3...wn*un according to the influence factor and the corresponding weight, wherein when the Ev value is the maximum, the scheme is optimal. The invention is simple and can obtain the optimal scheme through the data, can manufacture the correct working station stock layout without the stamping and processing knowledge and experience of the design personnel, gets rid of the designer, realizes the intelligent designing in a real meaning, and realizes the processing of the standardization production.