The Role of Constrained Fuzzy Arithmetic in Engineering

作者: George J. Klir

DOI: 10.1007/978-1-4615-5473-8_1

关键词:

摘要: When fuzzy arithmetic is employed for dealing with systems, which are viewed as systems of linguistic variables, it essential to take into account all information regarding the variables involved. It argued that standard does not utilize some available. As a consequence, may produce results more imprecise than necessary or, possibly, even incorrect. Basic ideas revised arithmetic, takes available in terms relevant requisite constrains, discussed and illustrated by examples, focusing particularly on those pertaining various areas engineering.

参考文章(48)
D. Dubois, H. Prade, Inverse Operations for Fuzzy Numbers IFAC Proceedings Volumes. ,vol. 16, pp. 399- 404 ,(1983) , 10.1016/S1474-6670(17)62066-4
Yin Pan, George J. Klir, Bayesian Inference Based on Interval-Valued Prior Distributions and Likelihoods Journal of Intelligent and Fuzzy Systems. ,vol. 5, pp. 193- 203 ,(1997) , 10.3233/IFS-1997-5302
Yin Pan, G.J. Klir, Bo Yuan, Bayesian inference based on fuzzy probabilities Proceedings of IEEE 5th International Fuzzy Systems. ,vol. 3, pp. 1693- 1699 ,(1996) , 10.1109/FUZZY.1996.552625
A. B. Tee, M. D. Bowman, K. C. Sinha, A fuzzy mathematical approach for bridge condition evaluation CIVIL ENGINEERING SYSTEMS. ,vol. 5, pp. 17- 24 ,(1988) , 10.1080/02630258808970498