34 results about "Fuzzy linguistic" patented technology

The invention provides a large power grid construction economic evaluation method, which comprises the following steps that: a two-stage evaluation system is built; proper evaluation indexes are selected; the evaluation is represented by comments in different degrees by fuzzy languages in fuzzy comprehensive evaluation; then, factors which are not easy to quantify are quantified by the fuzzy relationship synthesis principle; and an evaluated object is comprehensively evaluated from a plurality of factors. Particularly, evaluation indexes are firstly determined; then, the membership degree and the weight of the indexes are calculated; a fuzzy evaluation matrix and a weight vector are subjected to synthesis calculation; and finally, a fuzzy comprehensive evaluation result is obtained. The evaluation result which is not easy to quantify is quantified, and the evaluation result is simple and visual. The method provided by the invention has the advantages that a mathematic model is simple; the calculation is simple and convenient; the evaluation effect on multi-factor and multilayer complicated problems is better; and the method is applicable to the large power grid construction economic evaluation study.

The invention discloses a fuzzy fusion method for force feedback of a vascular intervention surgical robot, belonging to the technical field of medical devices. The fuzzy fusion method comprises the following steps: selecting fuzzy linguistic variables; constructing a membership function and calculating a quantifying factor and a scale factor; establishing an assigned table; drawing up a fusion rule table; and performing the step of fuzzy reasoning. According to the fuzzy fusion method disclosed by the invention, fuzzy control is applied, and the non-linear relationship between the two can be well reflected by applying a logical relation between the fuzzy variables; and the linguistic variables are defined according to the personal understandings of a doctor, the input variables are used for reflecting the collision state, the output is of feedback force, and the actual relation can be reflected by the two more realistically by combining with the existing experience of the doctor.

The invention discloses a spatial entity mapping method in a fuzzy linguistic environment. Calculation is performed through concepts, attributes and spatial characteristic parameter similarities of a spatial entity and a geographic object, and spatial entity positioning and precise spatial entity mapping in a concept level are achieved; multi-scale classification banks of the spatial entity are built, fuzzy scale factors are extracted from the geographic object facing public services and matched with the multi-scale classification banks, and therefore semantic mapping, based on the fuzzy scale factors, of the spatial entity and the geographic object is achieved. Accordingly, a method which is higher in openness and adaptability can be supplied for the ever-increasing geographic information retrieval requirements.

The invention discloses a fuzzy Skyline real-time parking recommendation method with a privacy protection function. The method comprises the following steps: 1, a roadside traffic facility RSU collects fuzzy parking lot and traffic information of the surrounding in real time; 2, a user sends a parking query request to the RSU, the query request comprises three default requirements, namely, the parking stall obtaining possibility, the parking lot reaching time and the charging standard, and a recommendation result return path based on the user is established according to a query message and theRSU; and 3, a fuzzy language variable comparison operation operator based on s-norm operation in the fuzzy method is defined, the RSU performs skyline information fusion by utilizing the fuzzy language variable comparison operator, and a result is returned to the user. The method is good in privacy protection effect, high in real-time performance and easy to implement and apply.

The invention provides a nonlinear fuzzy logic decision algorithm which comprises a definition and six steps. A definition decision model is as follows: the decision is a seven-element set (I, X, R, D, p, M and A), and the meanings are respectively a decision influencing factor set, a fuzzy language variable set, a fuzzy rule set, a decision machine, an executive main body and an action set. The five steps are respectively as follows: carrying out fuzzification on decision influencing factors by adopting a typical function method; calculating a fuzzy conclusion by adopting a specialist experience method and a membership degree precomputation algorithm; carrying out defuzzification on the fuzzy conclusion by adopting a centroid method to obtain a decision probability; making a decision according to the decision probability; and generating an action set for the decision. In the algorithm, the membership degree precomputation algorithm is adopted to optimize the fuzzy rule, thus the algorithm can be used for efficiently simulating uncertain intelligent decisions in a strategy type computer game.

The invention discloses a fuzzy PID (proportional-integral-derivative) controller, comprising a fuzzy PID control module and modules connected thereto, including: a PID control module for adjusting acontrol variable within a small deviation range; a fuzzification module for converting a determined value of input quantity of the fuzzy PID controller into a corresponding fuzzy language variable; afuzzy inference module for establishing fuzzy rules and acquiring probable loose conclusions from a loose condition set; a defuzzification module for converting a fuzzy language variable of the outputquantity of the fuzzy PID controller into a determined value. The invention also provides a PLC (programmable logic control) platform and a large-scale pig farm biogas engineering control system. Thefuzzy PID controller, the PLC platform and the large-scale pig farm biogas engineering control system have the advantages that the controller has better control effect; the control system has betterdynamic response; stability of the control system is greatly improved; the controller and the control system are significant to the optimization of biogas power generation and improvement of biogas power generation efficiency.

Embodiments of the present invention provide a method and device for generating fuzzy rules, which relate to the technical field of data processing. The method includes obtaining a fuzzy decision table, the fuzzy decision table includes a non-empty finite object set, a non-empty finite condition attribute set and a non-empty finite decision attribute; then based on the fuzzy decision table, an FDTRS model is established, based on the FDTRS model and the preset risk Loss value, obtain the positive domain, negative domain and boundary domain in the fuzzy decision table, and then obtain the approximate classification accuracy of each condition attribute in the non-empty finite condition attribute set relative to the decision attribute; then based on the approximate classification accuracy, obtain the fuzzy decision table Attribute reduction set; based on the attribute reduction set, non-empty finite object set, non-empty finite decision attribute and preset calculation rules, calculate the classification value of the fuzzy language variable of each conditional attribute in the attribute reduction set relative to the decision attribute ; If the classification value is not less than the preset threshold, a fuzzy rule is generated. More accurate and effective.

The invention belongs to the crossing field of machinery and control, and discloses a meta-action unit rotating speed control method based on a simulated annealing algorithm and a fuzzy PID, which comprises the following steps of: firstly, before rotating speed control, decomposing a whole machine into a subsystem, and then decomposing the subsystem into a meta-action unit for control; collecting the rotating speed of a worm rotating element action unit through a speed sensor, setting the rotating speed of a motor through a controller, designing a control rule table, a fuzzy domain of discourse, a fuzzy language value and a membership function of a fuzzy ID controller algorithm, and achieving setting of an integral coefficient and a differential coefficient; intelligently optimizing a scale factor of a rotating speed P controller by using a simulated annealing algorithm, and determining an optimal value by combining a PID cut-and-try method, so that the rotating speed of a worm rotating element action unit can be accurately controlled, good dynamic and static characteristics are achieved, and the stability of a motor during rotation is improved.

Aiming at overcoming the defect of the poor capacity of existing computers in recognizing blooming and improving the capacity of the computers in recognizing the blooming, vague languages used commonly by people are needed to be designed into instructions and programs acceptable to machines so that the machines can make corresponding judgments as concise and flexible as human brains, thereby improving the efficiency in terms of automatic identification and blooming control. The invention provides an aided cognition method of computers on the basis of behavioral science and realizes the accuracy of the aided cognition method course of the computer on the basis of the behavioral science.

The invention discloses a text search method and system based on a fuzzy language approximate concept lattice. The method comprises the following steps: acquiring a plurality of evaluation language values in a house renting field; according to the houses, the house attributes and the relationship between the houses and the house attributes, constructing a house renting field fuzzy language data set; generating a house renting field fuzzy language approximate concept; generating a house renting field fuzzy language approximate concept lattice; obtaining a complemented house renting field fuzzy language approximation concept; according to the complemented house renting field fuzzy language approximate concept and the house renting field fuzzy language approximate concept lattice, obtaining the complemented house renting field fuzzy language approximate concept lattice; and obtaining a to-be-searched house attribute in the house renting field, inputting the to-be-searched house attribute into the complemented fuzzy language approximate concept lattice in the house renting field, and outputting a search result. By means of the complemented fuzzy language approximate concept lattice, the problem that part of evaluation information in the house renting field is incomplete can be solved, the incomplete evaluation information is processed, and the search range is narrowed.

The invention discloses an automatic obstacle avoidance algorithm of a fire extinguishing robot. According to the technical scheme, the automatic obstacle avoidance algorithm is characterized by comprising the steps that position information of an obstacle relative to the fire extinguishing robot in a field environment is collected by arranging a sensor, and the input quantity obstacle distance D of the obstacle avoidance algorithm is obtained; the obstacle distance D and the left and right wheel speed values of the fire extinguishing robot are fuzzified, the input obstacle distance and the left and right wheel speed values of the fire extinguishing robot are converted into fuzzy language values, and fuzzy language value variables represent fuzzy subsets in a specific domain. The obstacle avoidance method of the automatic obstacle avoidance algorithm of the fire fighting robot adopts fuzzy description to complete behavior coding of the distance of an obstacle relative to the fire fighting robot and the speed of left and right wheels of the fire fighting robot, and meanwhile, self-learning, nonlinear approximation and self-adaption technologies of an RBF neural network are fully utilized; obstacle avoidance rules in an unknown environment are realized through information input of a sensor and internal fuzzy neural network environment modeling.

The invention provides a similarity measurement method for evaluating languages based on a mathematical expression. According to the method, an interval value hesitant fuzzy language attribute set based on the mathematical expression is constructed, the preference degree relation among the attributes is found, the weight possibility probability value of each attribute is determined, the similarity between the result expression and the query expression is calculated, and finally the required mathematical expression retrieval result is displayed to a user. According to the method, starting from elements forming the mathematical expression, the interval value hesitant fuzzy language set specially used for expression query is formed by utilizing operators, operands and query keywords, so that the uncertainty and fuzziness in the formula can be expressed to the maximum extent; the problem of one-sidedness decision caused by the fact that a single determined value represents a certain object is avoided, the method is closer to the expression and description mode of people for objects, and the decision effect is more credible and flexible. The invention is subsidized by natural science fund of Hebei Province (project approval number: F2019201329).

The invention discloses a hesitant fuzzy language term set multi-criterion decision-making method, which comprises the steps of determining an evaluation index system and obtaining an evaluation matrix; converting the evaluation matrix Xk and the language weight vector Wk into semantic interval representation; determining a subjective importance coefficient of each expert to the criterion; determining an objective importance coefficient of each expert to the criterion; constructing positive and negative ideal solution matrixes S + and S-of fuzzy language terms; constructing positive and negative ideal deviation matrixes D + and D-; constructing a relative proximity matrix Rc; aggregating the opinions of each expert to obtain the comprehensive relative proximity of the scheme; and according to the comprehensive relative closeness ranking, determining an optimal scheme. The method can be effectively applied under the condition of multi-granularity imbalance. The method is simple and easy to implement, subjective and objective importance coefficients of evaluation criteria are integrated, the decision making process is more practical, and therefore a more reasonable decision making result is obtained.

The invention discloses a chemical pump maintenance strategy optimization method based on type-2 fuzzy language terms, which comprises the following steps of: 1, extracting a chemical pump operation vibration time-frequency map and an expert evaluation text of a remote monitoring system, preprocessing the language terms in the evaluation text, and determining a reasonable interval of language term semantics; 2, introducing an enhanced interval method, fuzzifying language terms, and constructing an interval 2 type fuzzy language term set; 3, carrying out logical reasoning of interval type 2 fuzzy language terms by utilizing a word calculation technology based on a fuzzy language weighted average method, and diagnosing operation faults of the chemical pump; 4, chemical pump maintenance strategy evaluation is carried out according to the diagnosis result; and 5, performing optimization decision on the maintenance strategy by using a fuzzy multi-criterion group decision theory. According to the method, the accuracy of uncertain language term expression can be improved, and the chemical pump degradation symptom can be accurately diagnosed, so that a theoretical support is provided for ensuring stable and safe operation of a petrochemical industry pump system.

The embodiment of the invention discloses a subway station safety assessment method and device, a server and a storage medium. The method comprises the steps of obtaining assessment index data of a subway station; converting the evaluation index data through a triangular fuzzy language variable, and constructing a fuzzy judgment matrix; determining the maximum value of index weight data based on the fuzzy judgment matrix; determining a gray clustering evaluation matrix based on the maximum value of the index weight data; and performing safety evaluation on the subway station based on the grayclustering evaluation matrix. According to the embodiment of the invention, the method and device reduces the impact on the subway safety evaluation from the fuzzy evaluation index, iron out the defect that the grey clustering just considers the grey property of the index, and improve the precision of subway station safety evaluation.

The invention provides a multifunctional equipment scheme selection method under an uncompensable capability mechanism and related equipment. The method comprises the steps of determining a hesitant fuzzy language decision matrix of a preset multifunctional equipment scheme based on the uncompensable capability mechanism, determining an ideal solution of the multifunctional equipment scheme according to the hesitant fuzzy language decision matrix, determining a first distance and a comprehensive correlation coefficient between each multifunctional equipment scheme and the ideal solution according to the ideal solution, and comparing any two multifunctional equipment schemes, and sorting the multifunctional equipment schemes according to a comparison result. According to the embodiment of the invention, the multifunctional equipment scheme is selected through three different evaluation criteria by proposing the capability uncompensable mechanism and the comprehensive correlation coefficient, so that the decision-making accuracy of the multifunctional equipment scheme is improved, and the selected multifunctional equipment scheme is enabled to have effective capability matching while having relatively high overall capability.

The invention relates to a full-association voting method based on a block chain equity authorization certification consensus mechanism. The method comprises the following steps: firstly, selecting preference information of each node for a certain node from a symmetric language term set to vote; voting information of all block chain nodes is collected, probability distribution information of language terms is calculated, and a proportional hesitant fuzzy language term set is used for modeling group voting information of each block chain node; group voting information of n block chain nodes in the block chain network can be expressed as n proportional hesitant fuzzy language term sets; performing pairwise comparison on all block chain nodes to obtain a second-level possibility degree matrix; calculating the cumulative possibility degree of each block chain node i; sorting the accumulated possibility degrees of the n block chain nodes in a descending order; and finally, according to the preset number m of agent nodes, selecting the block chain nodes with the accumulated possibility ranked in the first m as representatives, and by adopting the technical scheme, the fairness of an equity authorization certification consensus mechanism is effectively improved.

The invention discloses a text search method and system based on fuzzy language approximation concept lattice, which can obtain several evaluation language values ​​in the field of renting houses; build fuzzy language data sets in the field of house renting according to houses, house attributes and the relationship between the two; generate house renting Domain fuzzy language approximation concept; generate rental domain fuzzy language approximation concept lattice; get completed rental domain fuzzy language approximation concept; according to the completed rental domain fuzzy language approximation concept and rental domain fuzzy language approximation concept lattice, get completion The final fuzzy language approximation concept lattice in the rental domain; obtain the housing attributes in the rental domain to be searched, input the housing attributes to be searched into the completed fuzzy language approximation concept lattice in the rental domain, and output the search results. Using the completed fuzzy language approximation concept lattice can solve the problem of incomplete evaluation information in the field of renting houses, deal with the incomplete evaluation information, and narrow the search range.

The application discloses a self-adaptive fuzzy data uploading method based on NB-IoT. A data uploading time point of equipment is an optimization control object and a reference input is a data uploading time point of the current equipment; error comparison is carried out on a communication result and original data; when an error signal e occurs, an error signal e is selected as an input quantityof a fuzzy controller; fuzzy quantization is carried out on an accurate quantity of an error signal to form a fuzzy quantity; the fuzzy quantity of the error e can be expressed by a corresponding fuzzy language and thus a subset E of the fuzzy language set of the error e is obtained; fuzzy decision making is performed on the E (fuzzy vector) and a fuzzy control rule R (fuzzy relationship) according to a reasoning synthesis rule to obtain a fuzzy control quantity U. In order to apply accurate control to a controlled object, the fuzzy quantity U needs to be subjected to non-fuzzy processing to be converted into an accurate quantity, and after an accurate digital quantity is obtained, a data uploading point of the equipment is modified, so that an optimal uploading time point is finally foundthrough loop optimization.

The invention proposes a method for evaluating power equipment based on discrete fuzzy numbers and analytic hierarchy process. Construct a multi-level hierarchical analysis model through transformer evaluation indicators, and use expert evaluation to assign weights to indicators at each level in turn, and construct indicator weight vectors through the lowest-level transformer evaluation indicators; aiming at the dimensional differences between the state variables of transformers and the differences in polarity In the case that it cannot be directly compared, the measured data of the power equipment indicators are divided into benefit type and cost type and standardized respectively to obtain dimensionless data; multi-level fuzzy language is used to describe the state of the transformer, and the dimensionless data is mapped through the fuzzy matrix In the space of membership degree, combined with the index weight vector, the state of power equipment is determined through the principle of membership degree, and the evaluation of power equipment is realized. The present invention can take into account the randomness and ambiguity of the electric equipment evaluation index, reduce the artificial subjective influence and the problem of poor sample data in the equipment state evaluation to a certain extent, and have high evaluation reliability.

The invention discloses an incubation room temperature control method based on cat group optimization and immune fuzzy PID, the temperature of an incubation room serves as a controlled object, a temperature physical model of the incubation room is established through a transfer function, a control rule table, a fuzzy theory domain, a fuzzy language value and a subordinating degree function of a fuzzy ID controller algorithm are designed to realize setting of an integral coefficient and a differential coefficient; a fuzzy reasoning is used for approximating the inhibition amount of cells in animmune algorithm, an immune control rule is determined, an immune control rule, a fuzzy theory domain, a fuzzy language value and a subordinating degree function of an immune P controller algorithm are designed to realize setting of a proportion coefficient; a cat group optimization algorithm is used for intelligent optimization of values of a quantification factor a scale factor of the immune P controller algorithm to determine optimal values of the quantization factor and the scale factor; the temperature of the incubation room can be accurately controlled, the incubation room temperature control method has good dynamic and static performance, is small in overshoot, and fast in adjusting time, and the self-setting of PID parameters is realized quickly and efficiently.

The invention provides a voice recognition method and device, equipment and a storage medium, and relates to the field of artificial intelligence, in particular to the technical field of voice. According to the specific implementation scheme, the method comprises the steps of firstly, using a domain-confrontation-based phonetic feature extraction model to extract phonetic features of target domain voice data, wherein the domain-confrontation-based phonetic feature extraction model comprises a phonetic feature extraction part and a domain classification part, the domain classification part introduces confrontation through a gradient reverse layer to fuzz field characteristics of linguistic features; then, extracting voice recognition target features of the target domain voice data; and then, according to the phonetic characteristics and the speech recognition target characteristics, jointly determining a speech recognition result of the target speech data. Therefore, the influence caused by the characteristics of the speaker, such as age, gender, tone and the like, can be better reduced, so that the speech recognition is more accurate, and the speech recognition is easier to migrate from one field to another field.

The invention relates to the technical field of speech recognition, in particular to a speech recognition method of high-precision medical equipment for irregular sound of a patient. The method comprises the following steps: receiving an original language sent by the medical patient by a receiving module, sending a language signal to a signal processing module, processing the language signal by the signal processing module, carrying out further recognition processing by a feature extraction module, a model library and a model matching module, finally, transmitting the signal to an execution conversion module, and converting the signal into an execution instruction so as to realize voice interaction with medical equipment. The invention provides the efficient speech recognition method capable of continuously training and learning and carrying out speech recognition on irregular voices, such as fuzzy languages and local dialects, of different patients and establishing a personalized language model library. Compared with speech interaction of existing medical equipment, the efficiency of classified recognition processing is higher, and the man-machine interaction experience feeling of the user is better.

The invention discloses a fuzzy fusion method for force feedback of a vascular intervention surgical robot, belonging to the technical field of medical devices. The fuzzy fusion method comprises the following steps: selecting fuzzy linguistic variables; constructing a membership function and calculating a quantifying factor and a scale factor; establishing an assigned table; drawing up a fusion rule table; and performing the step of fuzzy reasoning. According to the fuzzy fusion method disclosed by the invention, fuzzy control is applied, and the non-linear relationship between the two can be well reflected by applying a logical relation between the fuzzy variables; and the linguistic variables are defined according to the personal understandings of a doctor, the input variables are used for reflecting the collision state, the output is of feedback force, and the actual relation can be reflected by the two more realistically by combining with the existing experience of the doctor.

The invention provides a block chain edge temperature safety control method and system and electronic equipment. The method comprises the following steps: calculating a first deviation and a first deviation change rate of a first actual temperature and a safety temperature of a heating system; performing fuzzification processing on the first deviation and the first deviation change rate according to a set fuzzy domain and a fuzzy set to obtain a first fuzzy linguistic variable value corresponding to the first deviation and a second fuzzy linguistic variable value corresponding to the first deviation change rate; determining a corresponding third fuzzy linguistic variable value according to a preset first corresponding relation of the first fuzzy linguistic variable value and the second fuzzy linguistic variable value in a preset dead zone fuzzy control rule table; performing deblurring processing on the third fuzzy language variable value to obtain a first control quantity, and calculating according to the first control quantity and a preset linear ratio to obtain a first rotating speed corresponding to a heat exchange pump; and adjusting the heat exchange pump to work at the first rotating speed to reduce the sensitivity of the heating system to interference and improve the stability .

The invention relates to a fuzzy controller secondary development design method based on a Siemens_PLC platform. The method is based on a fuzzy control theory, fuzzy language knowledge and logic rulereasoning. A fuzzy controller compiled by Step7 and WinCC serves as a main framework, detailed secondary development design is carried out, an SIEMENS_PLC platform can be transplanted to achieve the effective control over basic automation equipment, and resource consumption can be reduced.

The disclosure relates to a dialog system, a vehicle having the dialog system, and a method of controlling the dialog system. The dialog system includes: a storage device configured to store target information about a target and a target value of a fuzzy language; a first input device configured to receive a voice signal; and a dialog manager configured to: convert the voice signal received in the first input device into text; determining a user intent based on the received voice signal; and acquiring a target and a target value corresponding to the fuzzy language from target information stored in a storage device based on determining that the determined user intent corresponds to the request intent and the converted text corresponds to the fuzzy language. The dialog system also includes a result processor configured to generate a response based on the target and the target value acquired from the dialog manager and to control an output of the generated response.

The present application discloses an adaptive fuzzy data uploading method based on NB-IoT, wherein the data uploading time point of the device is the optimization control object, the reference input is the data uploading time point of the current device, and the error comparison between the communication result and the original data is performed, When the error signal e occurs, the error signal e is selected as an input of the fuzzy controller, and the precise amount of the error signal is fuzzy quantized into a fuzzy amount. The fuzzy amount of the error e can be expressed by the corresponding fuzzy language, so as to obtain the error e A subset E of the fuzzy language set E (fuzzy vector) and fuzzy control rules R (fuzzy relationship) are used to make fuzzy decisions according to the synthetic rules of inference, and the fuzzy control quantity U is obtained, in order to exert precise control over the controlled object , it is also necessary to convert the fuzzy quantity U into an accurate quantity through de-fuzzification processing, and after obtaining an accurate digital quantity, the data upload point of the device is modified, and the optimal upload time point is finally found after cyclic optimization.

The invention discloses a fuzzy automatic control method for the temperature of an alumina roasting furnace. Firstly, the actual value f of raw material cutting amount is collected, and its value is compared with the rated amount of raw material cutting, so that the control target based on the gas regulating valve V is selected. Fuzzy automatic control, or choose fuzzy automatic control based on the raw material feeding amount F as the control target. In the present invention, the two factors affecting the temperature of the alumina roasting furnace, the raw material feeding amount and the gas regulating valve, are taken as prominent main factors, and the fuzzy thinking method of a person is simulated by applying the knowledge of fuzzy set theory, fuzzy language variables and fuzzy logic reasoning. The computer realizes the same control as the operator, based on fuzzy sets, fuzzy language variables and fuzzy logic, directly expresses human judgment and thinking process in a relatively simple mathematical form, thereby reducing the operator's work intensity and embodying automatic control at the same time accuracy and real-time.

The invention discloses a blood glucose / blood pressure fuzzy monitoring method with privacy protection. The blood glucose / blood pressure fuzzy monitoring method comprises the following steps: 1, collecting blood glucose and blood pressure data by utilizing health monitoring equipment, and carrying out preprocessing; 2, performing fuzzy processing on the blood glucose data based on the knowledge ofthe health field, and defining fuzzy division conforming to the knowledge of the blood glucose and blood pressure health field, so the fuzzy division can reliably convert the original sensitive bloodglucose / blood pressure data into a reliable and easily understood fuzzy message; 3, performing fuzzification processing on the blood pressure data based on the knowledge of the health field; 4, defining and storing fuzzy language variables, and performing blood glucose / blood pressure state fuzzy real-time monitoring and historical query. The method is good in privacy protection effect, reliable in result, easy to understand and easy to deploy and apply.