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Electromagnetic pulse welding is a new promising method for solid-state joining of dissimilar materials. However, little understanding of the dynamic phenomena that leads interface morphology and intermetallic compounds to change. Initially, using Ansys Maxwell proved that the eddy current heat had a softening effect on aluminum alloy, and could press into the stainless steel in the semi-melted state. IMCs layer transferred from the unwelded zone (FeAl) to the flat welded zone (Fe 2 Al 5 +FeAl 2 +FeAl) to the wave interface (¡-Al+FeAl 3 ), the state of jet determined interface performance. Then, these insights were verified by SPH simulation, dispersed jet made soft aluminum alloy to produce the wave interface, a beam jet that aluminum particles were wrapped by steel particles produced the flat interface. Combination shear tests, the welded interface with high strength was characterized by large waveform, molten metal and a small amount of steel particles, formed Al-rich FeAl 3 . The welded seam with low strength shown brittle fracture characteristic of spherical intermetallic compounds iron-rich FeAl formed by retention jets. Therefore, the dominant mechanism of interface formation is that the compression and impact effect of jet accompanied by a softening effect of eddy current heat on aluminum alloy.

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QUALIFLEX is a flexible method to solve the multi-criteria decision-making problem with a few alternatives. Moreover, the linguistic term is a very general way used by decision makers (DMs) to express their real perceptions. In particular, the probabilistic linguistic information, including the probability of each linguistic term, can simulate the vague perceptions of the DMs well. Therefore, the main contributions of this paper are constructing two novel QUALIFLEX with probabilistic linguistic information. First, based on the classical QUALIFLEX, it has been extended under probabilistic linguistic circumstance. Secondly, it is common for the DMs to have different risk attitudes for gains and losses when making their decisions under uncertainty, which is well explained by prospect theory (PT). Hence, PT has been integrated into the extended QUALIFLEX. Then, in this paper, a prospect QUALIFLEX is proposed as well. The feasibility and validity of the proposed methods have been verified by a numerical example in venture capital. The comparative and simulated analysis shows that the latter method with prospect framework is more appropriate than the former one because of the inherent psychological behaviors of the DMs and its excellent ability in identifying the similar alternatives. Furthermore, the ranking results derived from the prospect QUALIFLEX do not change with the different values of parameters. It reveals that the prospect QUALIFLEX is stable and reliable.