Rough computing—A review of abstraction, hybridization and extent of applications

DP Acharjya, A Abraham - Engineering Applications of Artificial Intelligence, 2020 - Elsevier
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 …

A comparative study of statistical and rough computing models in predictive data analysis

D Acharjya, A Anitha - … of Ambient Computing and Intelligence (IJACI …, 2017 - igi-global.com
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 …

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 …

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 …

A framework for intelligent medical diagnosis using rough set with formal concept analysis

BK Tripathy, DP Acharjya, V Cynthya - arxiv preprint arxiv:1301.6011, 2013 - arxiv.org
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 …

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 …

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 …

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 …

A decision making model using soft set and rough set on fuzzy approximation spaces

TK Das, DP Acharjya - International Journal of Intelligent …, 2014 - inderscienceonline.com
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 …

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 …