Rough computing—A review of abstraction, hybridization and extent of applications
The rapid growth of information and communication technology captured common man and
various organizations and influenced each individual's life, work, and study. It leads to a data …
various organizations and influenced each individual's life, work, and study. It leads to a data …
A comparative study of statistical and rough computing models in predictive data analysis
Abstract Information and technology revolution has brought a radical change in the way data
are collected. The data collected is of no use unless some useful information is derived from …
are collected. The data collected is of no use unless some useful information is derived from …
A hybrid scheme for heart disease diagnosis using rough set and cuckoo search technique
DP Acharjya - Journal of Medical Systems, 2020 - Springer
Large volumes of raw data are created from the digital world every day. Acquiring useful
information from these data is challenging, and it turned into a prime zone of momentum …
information from these data is challenging, and it turned into a prime zone of momentum …
Multi-scale covering rough sets with applications to data classification
Z Huang, J Li - Applied Soft Computing, 2021 - Elsevier
When facing with a complex problem, one often needs to consider dealing with it at what
level of granularity. Multi-scale knowledge representation provides us an opportunity to …
level of granularity. Multi-scale knowledge representation provides us an opportunity to …
A framework for intelligent medical diagnosis using rough set with formal concept analysis
Medical diagnosis process vary in the degree to which they attempt to deal with different
complicating aspects of diagnosis such as relative importance of symptoms, varied symptom …
complicating aspects of diagnosis such as relative importance of symptoms, varied symptom …
Ensemble learning based on approximate reducts and bootstrap sampling
F Jiang, X Yu, J Du, D Gong, Y Zhang, Y Peng - Information Sciences, 2021 - Elsevier
Ensemble learning is an effective approach for improving the generalization ability of base
classifiers. To generate a set of accurate and diverse base classifiers, different data …
classifiers. To generate a set of accurate and diverse base classifiers, different data …
Knowledge inferencing using artificial bee colony and rough set for diagnosis of hepatitis disease
DP Acharjya - … Journal of Healthcare Information Systems and …, 2021 - igi-global.com
Vast volumes of raw data are generated from the digital world each day. Acquiring useful
information and chief features from this data is challenging, and it has become a prime area …
information and chief features from this data is challenging, and it has become a prime area …
A rough set, formal concept analysis and SEM-PLS integrated approach towards sustainable wearable computing in the adoption of smartwatch
DP Acharjya - Sustainable Computing: Informatics and Systems, 2022 - Elsevier
The rapid growth of sustainable computing towards the energy, power and environment
seize an immense attention from bigger organizations to an individual life. Besides the world …
seize an immense attention from bigger organizations to an individual life. Besides the world …
A decision making model using soft set and rough set on fuzzy approximation spaces
In modern era of computing, there is a need of development in data analysis and decision
making. Most of our tools are crisp, deterministic and precise in character. But general real …
making. Most of our tools are crisp, deterministic and precise in character. But general real …
Rough sets on fuzzy approximation spaces and intuitionistic fuzzy approximation spaces
BK Tripathy - Rough Set Theory: A True Landmark in Data Analysis, 2009 - Springer
In the past few years the original concept of rough sets, as introduced by Pawlak [26] has
been extended in many different directions. Some of these extensions are obtained by …
been extended in many different directions. Some of these extensions are obtained by …