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- W1524261720 abstract "Techniques for ranking simple fuzzy numbers are abundant in the literature. However, we lack efficient methods for comparing complex fuzzy numbers that are generated by fuzzy engineering economic analyses. In this chapter a probabilistic approach is taken instead of the usual fuzzy set manipulations. The Mellin transform is introduced to compute the mean and the variance of a complex fuzzy number. The fuzzy number with the higher mean is to be ranked higher. Two fuzzy cash flow analyses and a fuzzy multiple attribute decision analysis are illustrated in order to demonstrate the suitability of the probabilistic approach. A real beauty of the approach is that it can accommodate all types of fuzzy numbers such as uniform, triangular, or trapezoidal simultaneously, and all computations are easily calculated in the spreadsheet." @default.
- W1524261720 created "2016-06-24" @default.
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- W1524261720 date "2008-01-01" @default.
- W1524261720 modified "2023-10-16" @default.
- W1524261720 title "A Probabilistic Approach to Fuzzy Engineering Economic Analysis" @default.
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- W1524261720 doi "https://doi.org/10.1007/978-3-540-70810-0_13" @default.
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