摘要:
A method for automatic generation of a Neuro-Fuzzy Expert System (Fuzzy Logic Expert System implemented as a Neural Network) from data. The method comprising a Data Interface allowing description of location, type, and structure of the Data. The Interface also allows designation of input attributes and output attributes in the Data Structure; automatic Neuro-Fuzzy Expert System generation driven by the Data; Training of the Expert System's Neural Network on the Data and the presentation of results which include new knowledge embedded in the parameters and structure of the trained Neuro-Fuzzy Expert System to a user.
摘要:
A membership function unit includes a membership function setting section for adjusting positions or shapes of membership functions depending on inputs of elements influencing human senses so as to set the membership functions and a membership value computing section for computing membership function values associated with input variables in the membership functions attained by the membership function setting section. The invention also relates to a fuzzy control system development support apparatus. The invention also relates to a method of developing a fuzzy control system.
摘要翻译:隶属函数单元包括隶属函数设置部分,用于根据影响人类感觉的元素的输入来调整隶属函数的位置或形状,以便设置隶属度函数,以及隶属值计算部分,用于计算与输入变量相关联的隶属函数值 会员功能设定部分所具有的会员功能。 <?insert-start id =“INS-S-00001”date =“20050705”?>本发明还涉及一种模糊控制系统开发支持装置。 本发明还涉及一种开发模糊控制系统的方法。<?insert-end id =“INS-S-00001”?>
摘要:
An apparatus and method for automatically generating and adjusting fuzzy reasoning, i.e. logic, rules based on changes in the reasoning error. The apparatus includes a fuzzy reasoning section that performs fuzzy logic based on the fuzzy reasoning rules stored in the a rule memory. The parameters of the fuzzy reasoning rules are adjusted in a parameter tuning section based on the output of the fuzzy reasoning section and predetermined input and output data. A reasoning error calculation section calculates a reasoning error and a change in the reasoning error based on the results from the fuzzy reasoning section and the predetermined input and output data. The reasoning error calculation section also disables the parameter tuning section when the calculated reasoning error is less than a predetermined first threshold value. When the calculated reasoning error is greater than or equal to the predetermined threshold value and the change in the reasoning error is less than a predetermined second threshold value, a rule generation section generates one or more fuzzy reasoning rules and regenerates the fuzzy reasoning rules stored in the rule memory based on the new fuzzy reasoning rule(s) so that optimal fuzzy reasoning rules are obtained.
摘要:
An apparatus for processing fuzzy information based on a membership function defining a fuzzy set, which generates the membership function with an elliptic, parabolic or rectangular, shape of equi-grade contour plane or line, incorporates the membership function at any position in a multi-dimensional space with a plurality of input variables and grade of compatibility as coordinates, and calculates and outputs a value of the grade of compatibility with respect to the incorporated membership function for given input variables.
摘要:
A fuzzy evaluation and modification system evaluates and modifies the fuzzy knowledge in a fuzzy reasoning system. The fuzzy knowledge includes fuzzy rules, each described in an "if . . . , then . . ." format, and membership functions defining meanings of propositions described in the "if . . . , then" parts. Results of the fuzzy reasoning are monitored and compared with real data of a plurality of real test cases to evaluate the fuzzy knowledge. An influence power of each of the fuzzy rules with respect to the fuzzy reasoning results is attained for all the cases. Superpositional display of real data on the membership functions of the "if . . ." part and reasoning results on the membership functions of the "then . . ." part indicates a relationship between the membership function and the real data. The system includes units for obtaining a grade of rule representing adequacy of the fuzzy rule based on the membership functions associated with the "if" part, attaining defuzzification values of the membership functions related to the "then" part and obtaining differences between the defuzzification values and the real data. A relationship between the grade of rule and the difference thus obtained between the defuzzification values and the real data is outputted to an output unit. The fuzzy knowledge is modified by an operator in association with the output.
摘要:
In a fuzzy control apparatus in which a rule is capable of being changed during operation, a fuzzy reasoning output which prevails immediately prior to a rule change is stored when a rule change is made, and a fuzzy-control output is generated by combining, after the rule change, the stored fuzzy reasoning output which prevailed immediately prior to the rule change and a fuzzy reasoning output which prevails following the rule change. The ratio of the combination is altered in such a manner that, with the passage of time from the moment at which the rule change is made, there is a gradual decrease in a percentage of the fuzzy reasoning output which prevailed immediately prior to the rule change, and a gradual increase in a percentage of the fuzzy reasoning output which prevails following the rule change, in the fuzzy-control output. Upon passage of a predetermined time from the moment at which the rule change is made, the fuzzy reasoning output which prevails following the rule change is outputted as the fuzzy-control output. As a result, a sudden change in the output at the time of a rule change is prevented so that a smooth changeover can be carried out.
摘要:
An apparatus and method for automatically generating and adjusting fuzzy reasoning, rules based on changes in the reasoning error. The apparatus includes a fuzzy reasoning section that performs fuzzy logic based on the fuzzy reasoning rules stored in the a rule memory. The parameters of the fuzzy reasoning rules are adjusted in a parameter tuning section based on the output of the fuzzy reasoning section and predetermined input and output data. A reasoning error calculation section calculates a reasoning error and a change in the reasoning error based on the results from the fuzzy reasoning section and the predetermined input and output data. The reasoning error calculation section also disables the parameter tuning section when the calculated reasoning error is less than a predetermined first threshold value. When the calculated reasoning error is greater than or equal to the predetermined threshold value and the change in the reasoning error is less than a predetermined second threshold value, a rule generation section generates one or more fuzzy reasoning rules and regenerates the fuzzy reasoning rules stored in the rule memory based on the new fuzzy reasoning rule(s) so that optimal fuzzy reasoning rules are obtained.
摘要:
For an input value, conformity grades are computed and are displayed for established membership functions. Alternatively, conformity grades and change rates thereof developed when a fuzzy reasoning system is operated are displayed. Alternatively, a change with respect to time of the input value is displayed to be superimposed onto a table representing the established rules. Alternatively, an output value resultant from a fuzzy reasoning conducted with a particular rule removed is compared with a fuzzy reasoning achieved by using all rules, thereby displaying the difference on a rule table. As above, various features in the fuzzy reasoning are extracted and are displayed so as to check adequacy of the established membership functions and rules.
摘要:
A fuzzy inference method which improves reliability of an inference result by obtaining a variance which is a statistical value. The variance considers not only the value of a membership function derived from performing maximum operation (logical AND) but also a position of the function. These values are added and, according to this result, any inconsistency in fuzzy rules is detected.
摘要:
A membership function unit includes a membership function setting section for adjusting positions or shapes of membership functions depending on inputs of elements influencing human senses so as to set the membership functions and a membership value computing section for computing membership function values associated with input variables in the membership functions attained by the membership function setting section.