We discuss a one-parameter family of generalized cross entropy between two distributions with the power index, called the projective power entropy. The cross entropy is essentially reduced to the Tsallis entropy if two distributions are taken to be equal. Statistical and probabilistic properties associated with the projective power entropy are extensively investigated including a characterizati...

In diagnostic decision-support systems, test selection amounts to selecting, in a sequential manner, a test that is expected to yield the largest decrease in the uncertainty about a patient’s diagnosis. For capturing this uncertainty, often an information measure is used. In this paper, we study the Shannon entropy, the Gini index, and the misclassification error for this purpose. We argue that...

This study applied multiscale entropy analysis to investigate the correlation between the complexity of intracranial pressure waveform and outcome after traumatic brain injury. Intracranial pressure and arterial blood pressure waveforms were low-pass filtered to remove the respiratory and pulse components and then processed using a multiscale entropy algorithm to produce a complexity index. We ...

This article investigates a novel automatic microcalcification detection method using a type II fuzzy index. The thresholding is performed using the Tsallis entropy characterized by another parameter ‘q’, which depends on the non-extensiveness of a mammogram. In previous studies, ‘q’ was calculated using the histogram distribution, which can lead to erroneous results when pectoral muscles are i...

business cost is acknowledged as one of the priorities in smes research. in thisstudy, the business cost of smes in shanghai was primarily measured using factor-entropy analysis method. the purpose of this study is to effectively resolve the issueof simplification and assignment evaluation index system on business costs of smesin shanghai. however, this study uses factor analysis to interpret t...

Electric Power data has the characteristics of strong real-time, fine granularity and high accuracy. It can more accurately reflect current industrial structure is suitable for monitoring high-quality economic development. In order to better play role power early warning, based on prosperity signal lamp method, combining principle mathematical probability warning index system electric construct...

ÐIn most data-mining applications where induction is used as the primary tool for knowledge extraction from real-world databases, it is difficult to precisely identify a complete set of relevant attributes. This paper introduces a new rule induction algorithm called Rule Induction Two In One (RITIO), which eliminates attributes in the order of decreasing irrelevancy. Like ID3-like decision tree...

We provide a signal modality analysis to characterize and detect nonlinearity schemes in the US Industrial Production Index time series. The analysis is achieved by using the recently proposed ’delay vector variance’ (DVV) method, which examines local predictability of a signal in the phase space to detect the presence of determinism and nonlinearity in a time series. Optimal embedding paramete...