Multiobjective evolutionary optimization of type-2 fuzzy rule-based systems for financial data classification
Classification techniques are becoming essential in the financial world for reducing risks
and possible disasters. Managers are interested in not only high accuracy, but in …
and possible disasters. Managers are interested in not only high accuracy, but in …
Footprint of uncertainty for type-2 fuzzy sets
In the paper, a new and comprehensible definition is proposed for type-2 fuzzy sets (T2
FSs), and the primary and secondary memberships function are defined respectively by …
FSs), and the primary and secondary memberships function are defined respectively by …
Determination of the threshold value β of variable precision rough set by fuzzy algorithms
KY Huang, TH Chang, TC Chang - International Journal of Approximate …, 2011 - Elsevier
In the past, the choices of β values to be applied to find the β-reducts in VPRS for an
information system are somewhat arbitrary. In this study, a systematic method which bridges …
information system are somewhat arbitrary. In this study, a systematic method which bridges …
[PDF][PDF] Simulation vector generation from HDL descriptions for observability-enhanced statement coverage
Validation of RTL circuits remains the primary bottleneck in improving design turnaround
time, and simulation remains the primary methodology for validation. Simulation-based …
time, and simulation remains the primary methodology for validation. Simulation-based …
Applications of an enhanced cluster validity index method based on the Fuzzy C-means and rough set theories to partition and classification
KY Huang - Expert Systems with Applications, 2010 - Elsevier
This study proposes a method of cluster validity index that simultaneously provide the
measurements of goodness of clustering on clustered data and of classification accuracy for …
measurements of goodness of clustering on clustered data and of classification accuracy for …
Application of VPRS model with enhanced threshold parameter selection mechanism to automatic stock market forecasting and portfolio selection
KY Huang - Expert Systems with Applications, 2009 - Elsevier
This study proposes a technique based upon Fuzzy C-Means (FCM) classification theory
and related fuzzy theories for choosing an appropriate value of the Variable Precision …
and related fuzzy theories for choosing an appropriate value of the Variable Precision …
Visualizing aspect-oriented goal models with aogrl
As goal models can be large and complex even for small problems, it is often a challenge to
aptly visualize them and to efficiently structure them for maintenance and reuse activities …
aptly visualize them and to efficiently structure them for maintenance and reuse activities …
An enhanced classification method comprising a genetic algorithm, rough set theory and a modified PBMF-index function
KY Huang - Applied Soft Computing, 2012 - Elsevier
This study proposes a method, designated as the GRP-index method, for the classification of
continuous value datasets in which the instances do not provide any class information and …
continuous value datasets in which the instances do not provide any class information and …
Corporate valuation: Looking beyond the forecast period through new “fuzzy lenses”
M Taliento - IEEE Transactions on Engineering Management, 2019 - ieeexplore.ieee.org
Novel suggestions and insights on corporate valuation are provided adopting a still
unconventional approach: fuzzy logic. It recalls the (Sophist) concepts of imprecision …
unconventional approach: fuzzy logic. It recalls the (Sophist) concepts of imprecision …
[KİTAP][B] Rutgers studies in accounting analytics: audit analytics in the financial industry
The spate of accounting scandals and corporate failures since 2001 has brought
unprecedented attention to the importance of corporate governance. The Enron scandal …
unprecedented attention to the importance of corporate governance. The Enron scandal …