"unreasonable result" is correct and usable in written English.
You can use this phrase to describe a result that seems wildly inconsistent or unfair in light of the circumstances. For example, "The jury found the defendant guilty and sentenced her to several years in prison, but witnesses had testified that she was innocent - it seemed like an unreasonable result."
To design an excessive typhoon, the most popular method is typhoon path translation, but it may cause unreasonable results sometimes.
The results reveal that the VHI approach can yield results in accord with field-test data, while the SHI approach may lead to unreasonable results.
Reliance on a treaty's negotiating history (travaux preparatoires) is a disfavored alternative of last resort, appropriate only where the terms of the document are obscure or lead to "manifestly absurd or unreasonable" results.
Up to now, simple models, like EBU, EDM/EDC, presumed PDF-fast chemistry models, are widely used in commercial software, but frequently give unreasonable results not agreed with experiments.
However, it may be possible for the forensic investigation to lead to unreasonable results far from the real collapse scenario, because the deterministic approach does not systematically take into account any information on the uncertainties involved in the failures of structures.
"Tactics may include tight deadlines, unreasonable results and even threatening one's job.
Cheng's method (1998) gets unreasonable results when comparing positive and negative fuzzy numbers (Chen and Sanguansat 2011).
If we set t d → 0, the coupling strength becomes comparable to such a scale, and the linear response approximation may break down and leads to unreasonable results.
However, there are certain defects of the traditional evaluation method, which can easily generate problems including evaluation grading discretion, unreasonable results and subjective information factor missing (Fu 2006).
Use data statistical analysis techniques to designing the software causes eliminating of unreasonable results due to mistakes arising from placement of data or computational errors and provides a more uniform output.
