A piecewise linear fgm approach for efficient and accurate fahp analysis: Smart backpack design as an example

摘要: Most existing fuzzy AHP (FAHP) methods use triangular numbers to approximate the priorities of criteria, which is inaccurate. To obtain accurate priorities, time-consuming alpha-cut operations are usually required. In order improve accuracy and efficiency estimating piecewise linear geometric mean (PLFGM) approach proposed in this study. The PLFGM method estimates α cuts then connects these with straight lines. As a result, estimated will have membership functions that resemble real shapes. has been applied identification critical features for smart backpack design. According experimental results, improved by 33% 80%, respectively.