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公开(公告)号:DE69426229T2
公开(公告)日:2001-05-23
申请号:DE69426229
申请日:1994-05-23
Applicant: CONS RIC MICROELETTRONICA
Inventor: GIACALONE BIAGIO , CATANIA VINCENZO , LUZZI CLAUDIO , MATRANGA VINCENZO
Abstract: Method of parallel processing of multiple inference rules (R) organized in fuzzy sets or logical functions of multiple fuzzy sets comprising membership functions (I') defined in a so-called universe of discourse (U) and said inference rules (R) being configured essentially as IF-THEN rules with at least one antecedent preposition and at least one consequent implication and each preposition comprising at least one term (T) of comparison between membership functions (I') and a plurality of input data (I) and each term (T) being separated by logical operators (OL). The method comprises at least one phase of calculation of the weight ( OMEGA ) of each term (T) of the antecedent part of each fuzzy logic inference rule as the greatest value of the intersection between the set of input data (I) and the corresponding membership functions (I').
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公开(公告)号:DE69531772D1
公开(公告)日:2003-10-23
申请号:DE69531772
申请日:1995-03-30
Applicant: CONS RIC MICROELETTRONICA
Inventor: GIACALONE BIAGIO , PAPPALARDO FRANCESCO , PELOS ENRICO , CATANIA VINCENZO
Abstract: A fuzzy processor with improved architecture, comprising a fuzzy rule processor (1), an internal fuzzy instructions memory, and an internal knowledge base memory, characterized in that it comprises an arithmetic-logic unit (2), a control unit (3) adapted to execute non-fuzzy instructions that are typical of conventional microprocessors, and an internal memory (5) comprising the non-fuzzy instructions.
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公开(公告)号:DE69426229D1
公开(公告)日:2000-12-07
申请号:DE69426229
申请日:1994-05-23
Applicant: CONS RIC MICROELETTRONICA
Inventor: GIACALONE BIAGIO , CATANIA VINCENZO , LUZZI CLAUDIO , MATRANGA VINCENZO
Abstract: Method of parallel processing of multiple inference rules (R) organized in fuzzy sets or logical functions of multiple fuzzy sets comprising membership functions (I') defined in a so-called universe of discourse (U) and said inference rules (R) being configured essentially as IF-THEN rules with at least one antecedent preposition and at least one consequent implication and each preposition comprising at least one term (T) of comparison between membership functions (I') and a plurality of input data (I) and each term (T) being separated by logical operators (OL). The method comprises at least one phase of calculation of the weight ( OMEGA ) of each term (T) of the antecedent part of each fuzzy logic inference rule as the greatest value of the intersection between the set of input data (I) and the corresponding membership functions (I').
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