Sentence examples for vagueness of data from inspiring English sources

In this method, to deal with uncertainty and vagueness of data in the primary phases of product design, performance of design concepts with respect to quantitative and qualitative criteria are concurrently evaluated using rough set and fuzzy set.

Using fuzzy numbers is a powerful tool to overcome the uncertainty and vagueness of data.

Fuzzy logic combined with expert elicitation is employed in order to deal with vagueness of the data, to effectively generate basic event failure probabilities without reliance on quantitative historical failure data through qualitative data processing.

Complexity and uncertainty in hydrological systems, lack of information in the hydrological processes, and vagueness of the data promoted cause the use of fuzzy theory in the field of hydrology and rainfall- runoff, which are the main processes of the hydrology, increases (Ross 1995).

In order to deal with vagueness of the data Fuzzy Set Theory (FST) and possibility approach are used to overcome the disadvantages of the conventional probability based approaches.

In this regard, new developments of the model are required based on fuzzy, interval, green, or other uncertain numbers dependent of the type of vagueness of the data.

Due to vagueness of the decision data, the crisp data are inadequate for real-life situations.

In creating soil layer models for our study site, we were challenged (i) to express vagueness of our soil data, while at the same time maintaining adherence to systematic classification principles, and (ii) to describe continuously the spatial distribution of soil materials and layers in three dimensions.

The combination of two sets will deal with all aspects of vagueness, inconsistency and incompleteness of data and information, and then will enhance the quality of introduced services and decisions from smart cities to their citizens.

Overall, these fall into three categories: (A) concerns regarding the presentation and discussion of the functional data, including certain vagueness of the methods; (B) information content of the structural figures and corresponding structural discussions, which I think can be significantly strengthened; (C) putting results into overall perspective, which I feel could also be improved.

According to Ishikawa, vagueness characteristic is a result of a combination of various types of data to be analyzed, which lead to inconsistency and deficiency.