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In rough set approaches, decision rules are induced from a given data table showing the relation between attribute values and classes of objects. The induced decision rules are used for the classification of new objects by their attribute values. However, some of new objects do not match any decision rule conditions because the given data table does not always include all possible patterns. In those...
The recognition accuracy of adult image groups depends on the performance of the adult image recognizer and the final decision rule. Earlier methods of recognizing adult image groups do not take into account the performance tuning of the adult image recognizer but only focus on the decision rule. The proposed method considers the two factors together and resolves optimal parameter settings to achieve...
This paper presents a new context awareness service decision method based on fuzzy set theory and the knowledge discovery technique in rough set theory. The established system model in the paper provides users with a service list ranking according to possibilities of each service that users may need. Moreover, accuracy of decision rules can conclude from the system model.
It is interesting to discover exceptions, as they dispute the existing knowledge and have elements of unexpectedness and surprise. As exceptions focus on a very small portion of data, discovering exceptions still remains a great challenge. A censored production rule (CPR) is a special kind of knowledge structure that augments exceptions to their corresponding commonsense rules of high generality and...
This paper aims to develop a decision rule-based model of household car ownership by using household travel survey data. The rough set approach as one of data mining techniques provides an effective tool to model the presented data set with decision rule sets. In this paper, the outputted “if-then” rules show the significant relationships between car ownership type and household characteristics. The...
The 3rd American Association of Pharmaceutical Scientists (AAPS)/Food and Drug Administration (FDA) Bioanalytical workshop in 2006 concluded with several new recommendations regarding the validation of bioanalytical methods in a report published in 2007. It was aimed to conciliate or adapt validation principles for small and large molecules and an opportunity to revisit some of the major decision...
In open set speaker identification it is important to build an alternative model against which to compare scores from the 'target' speaker model. Two alternative strategies for building an alternative model are to build a single global model by sampling from a pool of training data, the Universal Background (UBM), or to build a cohort of models from selected individuals in the training data for the...
Attribute reduction and decision rules are the key questions of rough set theory. Rough sets has developed to quite a matured level in a single universe of research, however, there are nearly no researches about rough set theory of dual-universe based on multiple information system. In response to this, this paper puts forward reduction methods of rough sets based on dual-universe, decision rules...
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