… In this section, we describe some popular formats to normalize quantitative attributes.
Likewise, we revise the approaches to map linguistic terms into numerical values in scenarios in …

… quantitative analysis to understand customer needs in a more accurate manner. However,
the results of these quantitative … weaknesses of qualitative and quantitative Kano approaches (…

… Instead, in this paper, we argue that one should convert quantitative attributes into
qualitative ones using discretization methods as discussed in Section II-B and use the model of …

… a set of certain and possible rules from quantitative data. Attributes are, however, usually …
from examples with hierarchical and quantitative attributes. The proposed approach combines …

… attributes, which will increase the chance of delivering satisfactory software products to the
customers. This paper proposes a quantitative method of measuring quality attribute … attributes…

… the assessment of quality attributes. This paper will discuss how quality attributes should be
… can be used to gain a quantitative score for a quality attribute, which can then be used as a …

… attributes were computed on a truncated portion of these data; instantaneous attributes were
… Both standard visual interpretation and quantitative attribute analyses were carried out on …

… concentrate on attribute noise. We investigate the relationship between attribute noise and
… impact of noise at different attributes, and possible solutions in handling attribute noise. Our …

… quantitative evaluation criteria for some elementary attributes, … of great amount of attributes
using the LSP approach. We … , symmetric and asymmetric attribute relationships using logical …

… and quantitative attributes. The common solution is to discretize the quantitative domains
into … In this article, we tackle the problem of partitioning quantitative attributes into such fuzzy …