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Volumn 13, Issue 4, 1998, Pages 265-273

Rough-Set-Based Knowledge Acquisition from Cases for Integrity Assessment of Bridge Structures

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BRIDGES; COMPUTER AIDED ANALYSIS; EXPERT SYSTEMS; KNOWLEDGE ACQUISITION; SET THEORY;

EID: 0032121929     PISSN: 10939687     EISSN: None     Source Type: Journal    
DOI: 10.1111/0885-9507.00105     Document Type: Article
Times cited : (2)

References (10)
  • 1
    • 2542512692 scopus 로고
    • Fuzzy expert system for integrity assessment of bridge structures
    • in Japanese
    • Furuta, H., Fuzzy expert system for integrity assessment of bridge structures, Structural Engineering Applications of Expert Systems, 2 (1990), 133-42 [in Japanese].
    • (1990) Structural Engineering Applications of Expert Systems , vol.2 , pp. 133-142
    • Furuta, H.1
  • 3
    • 0005434269 scopus 로고
    • Knowledge-based expert system for inference of damage factors on rein-forced concrete slabs of steel highway bridges using rule and frame representation
    • in Japanese
    • Mikami, I., Matsui, S., Tanaka, S. & Shinnai, Y., Knowledge-based expert system for inference of damage factors on rein-forced concrete slabs of steel highway bridges using rule and frame representation, Journal of Structural Engineering, JSCE, 34A (1988), 551-62 [in Japanese].
    • (1988) Journal of Structural Engineering, JSCE , vol.34 A , pp. 551-562
    • Mikami, I.1    Matsui, S.2    Tanaka, S.3    Shinnai, Y.4
  • 5
    • 2542608641 scopus 로고
    • Basic study on application of fuzzy sets theory to integrity assessment of structures
    • in Japanese
    • Nishimura, A., Fujii, M., Miyamoto, A. & Ogasa, M., Basic study on application of fuzzy sets theory to integrity assessment of structures, Journal of the Japan Society for Civil Engineers, 380/I-7 (1987), 365-74 [in Japanese].
    • (1987) Journal of the Japan Society for Civil Engineers , vol.380 , Issue.I-7 , pp. 365-374
    • Nishimura, A.1    Fujii, M.2    Miyamoto, A.3    Ogasa, M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.