Fuzzy inference machine

• US 20030083717A1
• Filed: 09/04/2002
• Published: 05/01/2003
• Est. Priority Date: 09/06/2001
• Status: Abandoned Application

• Current Assignee: See Attachment
• Original Assignee: Biotronik Mess-Und Therapiegeraete GmbH & Company Ingenieurbuero Berlin (Biotronik SE & Company KG)
• Inventors: Schaldach, Max, Ameling, Walter, Schaldach, Max Jr., Mlynski, Michael Frank
• Application Number:
  US10/234,635
• Publication Number:
  US 20030083717A1
• Time in Patent Office: Days
• US Class Current: 607/59
• CPC Class Codes: G06N 5/048 Fuzzy inferencing
• CPC Class Codes: G06N 7/02 using fuzzy logic computing arrangements based on biological models G06N3/00; computing arrangements using knowledge-based models G06N5/00

Abstract

The invention is based on the concept of providing a fuzzy inference machine having a fuzzy logic unit. The fuzzy logic unit converts an input value into a fuzzy scalar on the basis of scalar fuzzy operators. The converted fuzzy scalars are processed by means of fuzzy interconnection operators to give scalar output values.

The invention is therefore based on providing the inference machine of an expert system with a fuzzy logic unit which can operate directly with scalar data values and which permits the processing of unsharp knowledge. Then neither a fuzzifier nor a defuzzifier are required. In accordance with the (unsharp) knowledge of the knowledge base, the input values are compared by (unsharp) fuzzy operators to the presettings and afford (unsharp) information in the range of from “completely false” to “completely true”.

Also shown is an electrical therapy device having a fuzzy inference machine of that kind.

Claims

1. A fuzzy inference machine having a fuzzy logic unit (1) which is adapted to convert an input value into a fuzzy scalar by means of scalar fuzzy operators, wherein fuzzy scalars are processed by means of fuzzy interconnection operators to form scalar output values.

2. A fuzzy inference machine as set forth in claim 1 characterized in that the fuzzy logic unit (1) includes a scalar fuzzy comparison unit (2) which is adapted to apply a scalar fuzzy comparison operator as a fuzzy operator to an input value in such a way that the magnitude of the deviation of the input value from a predetermined threshold value provides an indication of the equality of the input value and the threshold value, wherein the result of the scalar fuzzy comparison operator is 1 if the input value and the threshold value are identical and wherein the result of the scalar fuzzy comparison operator tends towards 0 if the magnitude of the difference between the input value and the threshold value tends towards infinite.

3. A fuzzy inference machine as set forth in claim 1 characterized in that the fuzzy logic unit (1) includes a scalar fuzzy comparison unit (2) which is adapted to apply a scalar fuzzy comparison operator as a fuzzy operator to an input value in such a way that the magnitude of the deviation of the input value from a predetermined threshold value provides an indication of the inequality of the input value and the threshold value, wherein the result of the scalar fuzzy comparison operator is 0 if the input value and the threshold value are identical and wherein the result of the scalar fuzzy comparison operator tends towards 1 if the magnitude of the difference between the input value and the threshold value tends towards infinite.

4. A fuzzy inference machine as set forth in claim 1 characterized in that the fuzzy logic unit (1) includes a scalar fuzzy comparison unit (2) which is adapted to apply a scalar fuzzy comparison operator as a fuzzy operator to an input value in such a way that the magnitude of the difference between the input value and a predetermined threshold value provides an indication of whether the input value is less than the threshold value, wherein the result of the scalar fuzzy comparison operator is 0.5 when the input value and the predetermined threshold value are identical, wherein the result of the scalar fuzzy comparison operator tends towards 1 when the difference of the threshold value and the input value tends towards infinite and wherein the result of the scalar fuzzy comparison operator tends towards 0 when the difference of the input value and the threshold value tends towards infinite.

5. A fuzzy inference machine as set forth in claim 1 characterized in that the fuzzy logic unit (1) includes a scalar fuzzy comparison unit (2) which is adapted to apply a scalar fuzzy comparison operator as a fuzzy operator to an input value in such a way that the magnitude of the difference between the input value and a predetermined threshold value provides an indication of whether the input value is greater than the threshold value, wherein the result of the scalar fuzzy comparison operator is 0.5 when the input value and the predetermined threshold value are identical, wherein the result of the scalar fuzzy comparison operator tends towards 0 when the difference of the threshold value and the input value tends towards infinite and wherein the result of the scalar fuzzy comparison operator tends towards 1 when the difference of the input value and the threshold value tends towards infinite.

6. A fuzzy inference machine as set forth in one of the preceding claims characterized in that the fuzzy logic unit (1) has a memory (3) in which an operational parameter is stored, wherein the form of the transition of the result of the respective comparison operator from 0 to 1 or vice-versa can be adjusted on the basis of said operational parameter.

7. An electrical therapy device having an inference machine as set forth in one of claims claim 1 through 6.

8. An electrical therapy device as set forth in claim 7 characterized by an expert system memory (4) which is adapted to store expert knowledge, and a memory for patient-specific information (5) which is adapted to store patient-specific data.