Patent US1483885A successfully refreshed from Google Patents.
EP0477490A2
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Approximate reasoning apparatus
Assignee: Omron Corp
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Filing: 1991-07-11
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Granted: —
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Expires: 2011-07-11
Abstract
Abstract When a relationship between a factor and a conclusion has occurred, data indicative of this relationship is stored in a case-history file. For example, in an apparatus which uses approximate reasoning to perform fault diagnosis, the type of a fault and its symptoms are recorded (in a repair report, maintenance report or the like) when the fault occurs. A knowledge base is revised or created by such case-history file data. The possibility of a conclusion, static information quantities, clarity of a conclusion, etc., are computed based upon such a knowledge base. <IMAGE>
Inventors
- 👤 Hiroshi C/O Omron Corporation Kumamoto
Bibliographic Details
Application Number
—
Jurisdiction
EP
Data Source
google_patents
Last Synchronized
2026-11-01 21:16
CPC Classifications
G; G06; G06N; G06N5/00; G06N5/04; G06N5/048; G06N5/02; G06N5/022; Y; Y10; Y10S; Y10S706/00; Y10S706/90
Claims Analysis
Total Claims: 12
Claim 1
Independent Claim
133 words
An approximate reasoning apparatus comprising: knowledge memory means for storing knowledge which represents relationships between factors and conclusions already established; synthesized knowledge memory means for storing knowledge synthesized with regard to the same factors and conclusions; case-history data memory means for storing data representing relationships between factors and conclusions which actually have occurred; and knowledge synthesizing/revising means which synthesizes knowledge that concerns the same factors and conclusions stored in said knowledge memory means, and which, by using the data stored in said case-history data memory means, re-synthesizes the synthesized knowledge that concerns this data and the same factors and conclusions, wherein the the knowledge re-synthesized by said knowledge synthesizing/revising means is used to update the synthesized knowledge in said synthesized knowledge memory means that concerns this knowledge and the same factors and conclusions.
Claim 2
Dependent Claim
32 words
The apparatus according to claim 1, further comprising approximate reasoning means for computing the possibility of a conclusion by applying factor-input data to the knowledge stored in said synthesized knowledge memory means.
Claim 3
Dependent Claim
71 words
The apparatus according to claim 2, wherein said approximate reasoning means includes: degree-of-membership computing means for converting inputted data into degree of membership using a membership function represented by said knowledge; dynamic information quantity computing means for obtaining a dynamic information quantity for every factor using this degree of membership; and possibility computing means for obtaining the possibility of a conclusion using the degree of membership and the dynamic information quantity.
Claim 4
Dependent Claim
32 words
The apparatus according to claim 2, wherein when the knowledge stored in said synthesized knowledge memory means has been updated, said approximate reasoning means performs re-calculation based upon the knowledge after updating.
Claim 5
Independent Claim
27 words
The apparatus according to Claims 1, further comprising static information quantity computing means for computing a static information quantity of each factor based upon the synthesized knowledge.
Claim 6
Dependent Claim
34 words
The apparatus according to claim 5, wherein said static information quantity computing means re-computes the static information quantity of each factor in relation to the re-synthesized knowledge when the synthesized knowledge has been re-synthesized.
Claim 7
Dependent Claim
34 words
The apparatus according to claim 5, further comprising clarity computing means for computing the clarity of each factor for every conclusion using the static information quantities computed by said static information quantity computing means.
Claim 8
Dependent Claim
28 words
The apparatus according to claim 7, wherein said clarity computing means re-computes clarity using the static information quantities obtained by re-computation when the synthesized knowledge has been re-synthesized.
Claim 9
Dependent Claim
39 words
The apparatus according to claim 7, further comprising adding means for computing the clarity of every conclusion by adding the clarity of factors, for which data has actually been inputted, using the clarity obtained from said clarity computing means.
Claim 10
Dependent Claim
88 words
An approximate reasoning apparatus comprising: case-history data memory means for storing relationships between factors and conclusions which actually have occurred; data synthesizing means for synthesizing, as one item of data, a plurality of items of data regarding the same factors and conclusions stored in said case-history data memory means; synthesized data memory means for storing data synthesized by said data synthesizing means; and approximate reasoning means for computing the possibility of a conclusion by applying factor-input data to the synthesized data stored in said synthesized data memory means.
Claim 11
Dependent Claim
73 words
The apparatus according to claim 10, wherein said approximate reasoning means includes: degree-of-membership computing means for converting inputted data into degree of membership using a membership function represented by the said synthesized data; dynamic information quantity computing means for obtaining a dynamic information quantity for every factor using this degree of membership; and possibility computing means for obtaining the possibility of a conclusion using the degree of membership and the dynamic information quantity.
Claim 12
Dependent Claim
85 words
The apparatus according to claim 10, further comprising: static information quantity computing means for computing a static information quantity of each factor based upon the synthesized data; clarity computing means for computing the clarity of each factor for every conclusion using the static information quantities computed by the static information quantity computing means; and adding means for computing the clarity of every conclusion by adding the clarity of factors, for which data has actually been inputted, using the clarity obtained from said clarity computing means.
References Cited (Backward Citations)
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