A fuzzy control method of a controlled object uses control rules, having a condition part, each condition part having both a first proposition characterized by a membership function whose variable is a time and a second proposition with respect to the state of the controlled object. According to the method, inputting information with respect to the state of the controlled object is input to a fuzzy control execution circuit. The degree of confidence of the first proposition characterized by the membership function is calculated according to the information for each of the control rules by using a particular equation. Then, the degree of confidence of the satisfaction of a condition part of each of the control rules is calculated according to the degree of confidence of each first proposition. A suitable control rule is obtained according to the degree of confidence of the satisfaction of each condition part so as to control the controlled object according to the control rule.
An image coding system determines an amount a data that is output by a coder of the system and also determines a target code produced amount based on the motion of an input image. The coder of the coding system encodes the input image. A record of a data amount of past coded data is used as the inference of the target code amount. Hence, proper coding can be performed in a sending side. Further, by converting the data amount into a value with a condition to be standard, accuracy of the inference may be improved. In addition, an indication of the power amount of the data to be coded is used as a factor for determining a target code produced amount to expedite a combination of a plurality of coding modes.
An image coding system determines an amount a data that is output by a coder of the system and also determines a target code produced amount based on the motion of an input image. The coder of the coding system encodes the input image. A record of a data amount of past coded data is used as the inference of the target code amount. Hence, proper coding can be performed in a sending side. Further, by converting the data amount into a value with a condition to be standard, accuracy of the inference may be improved. In addition, an indication of the power amount of the data to be coded is used as a factor for determining a target code produced amount to expedite a combination of a plurality of coding modes.
Disclosed is a fuzzy control system which calculates a membership function concerning a control value of a to-be-controlled object through a fuzzy inference operation in accordance with an input value from the to-be-controlled object and a control rule, and determines the control value from the membership function to control the to-be-controlled object. This fuzzy control system has a plurality of internal states respectively expressed by a plurality of membership functions in addition to the input value and the control value, determines the state of the to-be-controlled object using a rule for evaluating the input value, alters the internal state by fuzzy inference, stores a decision result as a new internal state, and determines the control value of the to-be-controlled object through fuzzy inference from the new internal state and the input value.
A method for planning a production schedule within a factory is disclosed herein. A capacity model is determined for the factory. The capacity model is determined by determining a plurality of contiguous time intervals, partitioning the factory into a plurality of resource groups, and determining a processing capacity for each of the resource groups for each of the time intervals. For each job to be planned, the job is divided into a plurality of processing segments each of which is represented with a corresponding fuzzy set. The fuzzy set representations are inserted and removed within the capacity model until the job is planned. A completion date and a confidence level can be predicted for each of the jobs. In addition, the jobs may be released to the factory and devices fabricated according to the requirements of the jobs. Other systems and methods are also disclosed.
