FRAME BASED FUZZY EXPERT SYSTEM.

Kaoru Hirota; Akihiko Watanabe

FRAME BASED FUZZY EXPERT SYSTEM.

Kaoru Hirota^*, Akihiko Watanabe

^*Corresponding author for this work

School of Automation

Research output: Contribution to journal › Article › peer-review

Abstract

Fuzzy frame based knowledge representation, matching of two fuzzy sets, and sequential conflict resolution method are proposed. Fuzzy frame based knowledge representation is introduced from ordinary frame based knowledge representation by adding the concept of membership and vagueness. Matching of two fuzzy sets and sequential conflict resolution method are applied to inference procedure.

Original language	English
Pages (from-to)	123-133
Number of pages	11
Journal	Hosei Daigaku Kogakubu kenkyu shuho
Issue number	23
Publication status	Published - Mar 1987

Cite this

Hirota, K., & Watanabe, A. (1987). FRAME BASED FUZZY EXPERT SYSTEM. Hosei Daigaku Kogakubu kenkyu shuho, (23), 123-133.

@article{8d285e900dc1462ea0c304becdc2e448,

title = "FRAME BASED FUZZY EXPERT SYSTEM.",

abstract = "Fuzzy frame based knowledge representation, matching of two fuzzy sets, and sequential conflict resolution method are proposed. Fuzzy frame based knowledge representation is introduced from ordinary frame based knowledge representation by adding the concept of membership and vagueness. Matching of two fuzzy sets and sequential conflict resolution method are applied to inference procedure.",

author = "Kaoru Hirota and Akihiko Watanabe",

year = "1987",

month = mar,

language = "English",

pages = "123--133",

journal = "Hosei Daigaku Kogakubu kenkyu shuho",

issn = "0441-2494",

number = "23",

}

TY - JOUR

T1 - FRAME BASED FUZZY EXPERT SYSTEM.

AU - Hirota, Kaoru

AU - Watanabe, Akihiko

PY - 1987/3

Y1 - 1987/3

N2 - Fuzzy frame based knowledge representation, matching of two fuzzy sets, and sequential conflict resolution method are proposed. Fuzzy frame based knowledge representation is introduced from ordinary frame based knowledge representation by adding the concept of membership and vagueness. Matching of two fuzzy sets and sequential conflict resolution method are applied to inference procedure.

AB - Fuzzy frame based knowledge representation, matching of two fuzzy sets, and sequential conflict resolution method are proposed. Fuzzy frame based knowledge representation is introduced from ordinary frame based knowledge representation by adding the concept of membership and vagueness. Matching of two fuzzy sets and sequential conflict resolution method are applied to inference procedure.

UR - http://www.scopus.com/inward/record.url?scp=0023315920&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0023315920

SN - 0441-2494

SP - 123

EP - 133

JO - Hosei Daigaku Kogakubu kenkyu shuho

JF - Hosei Daigaku Kogakubu kenkyu shuho

IS - 23

ER -

FRAME BASED FUZZY EXPERT SYSTEM.

Abstract

Other files and links

Fingerprint

Cite this