TY - GEN
T1 - Improved weighted fuzzy inference and its application in high-rise structural performance evaluation
AU - Zhang, Shi Hai
AU - Zhang, Shi Zhong
AU - Liu, Shu Jun
AU - Ou, Jin Ping
AU - Wang, Guang Yuan
PY - 2009
Y1 - 2009
N2 - Firstly, analysizing the structural characteristics and the shortage of traditional evaluation methods, we produced the fuzzy reasoning methods, given the basic model of this method and introduced seven kinds of Mamdani algorithm. Secondly, combining fuzzy integrated evaluation with the fuzzy inference, we produced the improved weighted multi-input fuzzy reference algorithm. Thirdly, the engineering example was given. The result shown: this method is not only overcome the deficiencies of traditional method can not consider the relative importance of multi-input, but also overcome the deficiencies of the fuzzy comprehensive evaluation can not deal directly with linguistic variables and experts evaluation strategy. This method can meet the needs of the multi-level, multi-performance structural form selection; the evaluation results are intuitive, effective, and take full advantage of it in accumulated experience and strategy.
AB - Firstly, analysizing the structural characteristics and the shortage of traditional evaluation methods, we produced the fuzzy reasoning methods, given the basic model of this method and introduced seven kinds of Mamdani algorithm. Secondly, combining fuzzy integrated evaluation with the fuzzy inference, we produced the improved weighted multi-input fuzzy reference algorithm. Thirdly, the engineering example was given. The result shown: this method is not only overcome the deficiencies of traditional method can not consider the relative importance of multi-input, but also overcome the deficiencies of the fuzzy comprehensive evaluation can not deal directly with linguistic variables and experts evaluation strategy. This method can meet the needs of the multi-level, multi-performance structural form selection; the evaluation results are intuitive, effective, and take full advantage of it in accumulated experience and strategy.
UR - https://www.scopus.com/pages/publications/76349118534
U2 - 10.1109/FSKD.2009.361
DO - 10.1109/FSKD.2009.361
M3 - 会议稿件
AN - SCOPUS:76349118534
SN - 9780769537351
T3 - 6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009
SP - 301
EP - 305
BT - 6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009
T2 - 6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009
Y2 - 14 August 2009 through 16 August 2009
ER -