The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 02, 1995

Filed:

Mar. 31, 1993
Applicant:
Inventors:

Paul M Basehore, Sanford, FL (US);

Charles D Watson, Sanford, FL (US);

Assignee:

American Neurologix, Inc., Sanford, FL (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F / ;
U.S. Cl.
CPC ...
395-3 ; 395 61 ; 395 11 ; 395900 ;
Abstract

An arrangement (apparatus and method) using fuzzy logic for controlling a plurality of devices in response to inputs. The input signals are sequentially selected and supplied to a fuzzy input processor. The crisp input signal is fuzzified by selected center and width data corresponding to a selected membership function. Each crisp input is fuzzified by determining the distance of the crisp input from the center of the membership function and linearly complementing the result with respect to the width of the membership function, thereby eliminating the necessity for determining the shape of the membership function. The center and width may be fixed or dynamic values. The fuzzified input signals are successively compared in a min-max comparator which determine a minimum rule term for each rule processed. The minimum rule term is compared with a previously stored minimum rule term to determine a maximum among the minimum rule terms. The fuzzy input processor outputs a clock signal whenever a new maximum among the minimal rule terms is determined, and stores the new maximum value. The arrangement also incudes a fuzzy output processor which executes the rule identified by the fuzzy input processor as the optimum rule. A fuzzy memory interface controls the transfer of data for the fuzzy input processor and the fuzzy output processor, thereby optimizing parameter storage.


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