[특허]Fuzzy rule acquisition method and apparatus for fuzzy inference system and fuzzy inference system using the apparatus

Fuzzy rule acquisition method and apparatus for fuzzy inference system and fuzzy inference system using the apparatus 원문보기

IPC분류정보
국가/구분	United States(US) Patent 등록
국제특허분류(IPC7판)	G06F-015/18 G06F-015/00
출원번호	US-0140665 (1993-10-21)
우선권정보	JP-0284179 (1992-10-22)
발명자 / 주소	Ichimori Toshihide (Kawasaki JPX) Maeda Akira (Yokohama JPX) Funabashi Motohisa (Sagamihara JPX) Nakano Toshihiko (Ibaraki JPX)
출원인 / 주소	Hitachi, Ltd. (Tokyo JPX 03)
인용정보	피인용 횟수 : 20 인용 특허 : 0

초록 ▼

A fuzzy rule acquisition method for a fuzzy inference system in which a fuzzy inference is achieved based on fuzzy knowledge including fuzzy rules each described in a format having an IF part and a THEN part, and membership functions defining meanings of respective propositions described in the IF part and THEN part, and in which a fuzzy inference is performed for at least one input value by using the fuzzy rules of the fuzzy knowledge to obtain a result of the execution of the fuzzy inference, the result of the execution of the fuzzy inference is compared with a teaching value to obtain an inference error, the errors of the fuzzy rules are obtained by using the inference error, it is judged whether each of the fuzzy rules is contradictory, based on the errors of corresponding rules of the fuzzy rules, and a fuzzy rule judged as contradictory is modified to dissolve the contradiction.

대표청구항 ▼

A fuzzy rule acquisition method for a fuzzy inference system in which a fuzzy inference is achieved based on a fuzzy knowledge including fuzzy rules, each of the fuzzy rules described in a format having an IF part and a THEN part, and membership functions defining meanings of propositions described in the IF part and the THEN part, said fuzzy rule acquisition method comprising the steps of: (a) executing a fuzzy inference for at least one input value by using said fuzzy rules of said fuzzy knowledge, and obtaining a result of the execution of the fuzzy inference; (b) comparing the result of the execution of the fuzzy inference with a teaching value, and obtaining an inference error; (c) obtaining errors of said fuzzy rules by using said inference error by referring to at least one of combinations of IF parts of said fuzzy rules, combinations of THEN parts of said fuzzy rules, and both of the combinations of the IF part and the THEN part of said fuzzy rules; (d) determining whether a pair of said fuzzy rules are mutually contradictory, based on a pair of errors corresponding to said pair of fuzzy rules, by comparing the errors of each pair of fuzzy rules among all pairs of said fuzzy rules; (e) determining each pair of fuzzy rules as contradictory rules if a ratio between the errors of each pair of fuzzy rules is within a predetermined range and one of the errors is negative and the other of the errors is positive; (f) modifying a fuzzy rule determined as contradictory to dissolve the contradiction by comparing the areas corresponding to the IF parts of each pair of fuzzy rules determined as contradictory and modifying the IF part of the fuzzy rule determined as having a larger area by the comparison result.

이 특허를 인용한 특허 (20)

Tuzhilin, Alexander; Adomavicius, Gediminas, Architectures, systems, apparatus, methods, and computer-readable medium for providing recommendations to users and applications using multidimensional data.
상세보기
Uchikawa Yoshiki,JPX ; Furuhashi Takeshi,JPX ; Yamaguchi Masashi,JPX ; Fujime Yoko,JPX, Autonomic system for updating fuzzy neural network and control system using the fuzzy neural network.
상세보기
Viot J. Greg, Circuit and method for representing fuzzy rule weights during a fuzzy logic operation.
상세보기
Randazzo, Michael Thomas; Secrist, Randy Kent; Steiner, David John, Conflicting rule resolution system.
상세보기
Ibaraki Shigeru,JPX ; Kiuchi Takeo,JPX, Control system for hybrid vehicle.
상세보기
Furuya Masatoshi,JPX ; Komura Fuminobu,JPX, Decision making method.
상세보기
Sendhoff, Bernhard; Beyer, Hans-Georg, Evolutionary search for robust solutions.
상세보기
Kutsumi, Hiroshi; Ozawa, Jun; Miura, Kouji; Matsuura, Satoshi; Imanaka, Takeshi, Fuzzy inference method and machine.
상세보기
Kutsumi,Hiroshi; Ozawa,Jun; Miura,Kouji; Matsuura,Satoshi; Imanaka,Takeshi, Fuzzy inference method and machine, and an image production method and system.
상세보기
Inoue Tsuyoshi,JPX ; Matsuoka Teruhiko,JPX ; Aramaki Takashi,JPX, Fuzzy neural network system.
상세보기
Matsuoka Teruhiko,JPX, Heater control device.
상세보기
Schlesiger, Markus; Baumann, Sven, Method for monitoring the adjustment movement of a component driven by a drive device.
상세보기
Strobel Stewart,Lorna Ruth; Hendriks, legal representative,Peter; Daams,Johanna Maria, Possibilistic expert systems and process control utilizing fuzzy logic.
상세보기
Edmund Linzenkirchner DE; Hans-Peter Preuss DE, Process for designing a fuzzy regulator.
상세보기
Jin,Yaochu; Sendhoff,Bernhard, Reduction of fitness evaluations using clustering techniques and neural network ensembles.
상세보기
Olhofer,Markus; Sendhoff,Bernhard, Strategy parameter adaptation in evolution strategies.
상세보기
Tuzhilin Alexander S., System and method for dynamic profiling of users in one-to-one applications.
상세보기
Tuzhilin, Alexander S.; Adomavicius, Gediminas, System and method for dynamic profiling of users in one-to-one applications and for validating user rules.
상세보기
Tuzhilin, Alexander S.; Adomavicius, Gediminas, System and method for dynamic profiling of users in one-to-one applications and for validating user rules.
상세보기
Jin,Yaochu; Sendhoff,Bernhard; Okabe,Tatsuya; Olhofer,Markus, System and method for estimation of a distribution algorithm.
상세보기

IPC	Description
A	생활필수품
A62	인명구조; 소방(사다리 E06C)
A62B	인명구조용의 기구, 장치 또는 방법(특히 의료용에 사용되는 밸브 A61M 39/00; 특히 물에서 쓰이는 인명구조 장치 또는 방법 B63C 9/00; 잠수장비 B63C 11/00; 특히 항공기에 쓰는 것, 예. 낙하산, 투출좌석 B64D; 특히 광산에서 쓰이는 구조장치 E21F 11/00)
A62B-1/08	.. 윈치 또는 풀리에 제동기구가 있는 것

내보내기 구분	파일저장 인쇄 메일전송
구성항목	기본정보 상세정보 관리번호, 국가코드, 자료구분, 상태, 출원번호, 출원일자, 공개번호, 공개일자, 등록번호, 등록일자, 발명명칭(한글), 발명명칭(영문), 출원인(한글), 출원인(영문), 출원인코드, 대표IPC 관리번호, 국가코드, 자료구분, 상태, 출원번호, 출원일자, 공개번호, 공개일자, 공고번호, 공고일자, 등록번호, 등록일자, 발명명칭(한글), 발명명칭(영문), 출원인(한글), 출원인(영문), 출원인코드, 대표출원인, 출원인국적, 출원인주소, 발명자, 발명자E, 발명자코드, 발명자주소, 발명자 우편번호, 발명자국적, 대표IPC, IPC코드, 요약, 미국특허분류, 대리인주소, 대리인코드, 대리인(한글), 대리인(영문), 국제공개일자, 국제공개번호, 국제출원일자, 국제출원번호, 우선권, 우선권주장일, 우선권국가, 우선권출원번호, 원출원일자, 원출원번호, 지정국, Citing Patents, Cited Patents
저장형식	Text(ASCII format) Excel format PIAS분석(.xls)
메일정보	받는사람 (필수) @ 보내는사람 (선택) @ 제목 내용 KISTI 검색결과 이메일 서비스
안내	총 건의 자료가 검색되었습니다. 다운받으실 자료의 인덱스를 입력하세요. (1-10,000) 검색결과의 순서대로 최대 10,000건 까지 다운로드가 가능합니다. 데이타가 많을 경우 속도가 느려질 수 있습니다.(최대 2~3분 소요) 다운로드 파일은 UTF-8 형태로 저장됩니다. 파일의 내용이 제대로 보이지 않을실 때는 웹브라우저 상단의 보기 -> 인코딩 -> 자동선택 여부를 확인하십시오. ~ Text(ASCII format) Excel format

연합인증

Fuzzy rule acquisition method and apparatus for fuzzy inference system and fuzzy inference system using the apparatus 원문보기

초록 ▼

대표청구항 ▼

연구과제 타임라인

이 특허를 인용한 특허 (20)

관련 콘텐츠

특허 원문 보기

IPC 상위 출원인

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

선택된 텍스트

연합인증

Fuzzy rule acquisition method and apparatus for fuzzy inference system and fuzzy inference system using the apparatus 원문보기

초록 ▼

대표청구항 ▼

연구과제 타임라인

전체(0) 논문(0) 특허(0) 보고서(0)

전체(0) 논문(0) 특허(0) 보고서(0)

이 특허를 인용한 특허 (20)

관련 콘텐츠

특허 원문 보기

IPC 상위 출원인

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

선택된 텍스트