Sentence examples for rough approaches from inspiring English sources

Exact(1)

Traditional building energy consumption calculation methods are characterised by rough approaches providing approximate figures with high and unknown levels of uncertainty.

Similar(56)

Taxi drivers later reported that Americans blocked off one of the rough approach roads to the village and drove several vehicles in.

His comments during the election campaign has left some in Iceland concerned that his perceived rough approach to foreign investors risks leaving the country starved of investment capital.

Nevertheless, it represents a rough approach to an important problem of the relative structure of capital; that is, of the proportions in which goods of various kinds are found.

A rough approach to the molecular structure of the complex by molecular modelling based on the experimental findings yielded a molecule that was useful for understanding the physicochemical behaviour of Compd. 1.

Schieber explained to me that he defined retirees as people receiving Social Security benefits -- a rough approach, since it would include disabled but unretired people, but close enough.

We have chosen the programs PatchDock, ZDOCK and ClusPro, as they include a "fast and rough" approach (PatchDock), "slow and sofisticated" (ClusPro, which apparently is similar to HADOCK) and a compromise between the two (ZDOCK).

In a survey of uncertainty-based spatial data mining, Shi et al. (2003) provide a brief general comparison of fuzzy and rough set approaches for spatial data mining.

In this study, we proposed two dynamic computing rough approximations approaches for time-evolving information granule interval-valued ordered information system which induced by the deletion or addition some attributes, respectively.

In this section, we also discuss the use of decision rules in conjunction with the rough set approaches.

The objective of this work is to explore and evaluate the application of rough set approaches in the development of data-driven prognostic models with respect to two criteria essential to clinical credibility: accuracy and accessibility.

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