34 results about "Fuzzy linguistic" patented technology

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 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 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.