Abstract
When fuzzy sets are used to model fuzzy information, the,analysis involves extended algebraic operations, i.e., operations on fuzzy numbers. The computational aspect of fuzzy information processing is addressed in this paper. In particular, a technique based on the α-cut representation of fuzzy sets and combinatorial interval analysis is presented. The method provides a discrete but exact solution to extended operations in a very efficient and simple manner, thus greatly expediting computer processing of fuzzy information in engineering. An example in risk assessment is given as illustration. The role of fuzzy information processing in expert systems is described.
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© 1986 Springer-Verlag Berlin Heidelberg
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Wong, F.S., Dong, W. (1986). Fuzzy Information Processing in Engineering Analysis. In: Sriram, D., Adey, R. (eds) Applications of Artificial Intelligence in Engineering Problems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-21626-2_22
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DOI: https://doi.org/10.1007/978-3-662-21626-2_22
Publisher Name: Springer, Berlin, Heidelberg
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