Knowledge-based system for three-way decision-making under uncertainty

K Ramisetty, A Singh, J Christopher… - Knowledge and Information …, 2023 - Springer
Abstract Knowledge-based systems developed based on Dempster–Shafer theory and
prospect theory enhances decision-making under uncertainty. But at times, the traditional …

DAAR: Drift Adaption and Alternatives Ranking approach for interpretable clinical decision support systems

R Kavya, A Kala, J Christopher, S Panda… - … Signal Processing and …, 2023 - Elsevier
Diagnosing allergy comorbidities is challenging because the comprehensive studies on the
prevalence of each allergy and the relation with other diseases are scarce. Moreover, there …

An Explainable Knowledge-Based System Using Subjective Preferences and Objective Data for Ranking Decision Alternatives

K Ramisetty, J Christopher, S Panda… - … of Information in …, 2022 - thieme-connect.com
Background Allergy is a hypersensitive reaction that occurs when the allergen reacts with
the immune system. The prevalence and severity of the allergies are uprising in South Asian …

[PDF][PDF] Nearest Neighbours and XAI Based Approach for Soft Labelling.

R Kavya, JJ Christopher, S Panda - ICAART (3), 2023 - academia.edu
Hard label assignment is a challenging task in case of epistemic uncertainty. This work
initially converts the hard labels of evidential instances into probabilistic labels based on k …

Explainable Decision Making Model by Interpreting Classification Algorithms

R Kavya, S Gupta, J Christopher, S Panda - International Conference on …, 2022 - Springer
This work uses the patterns learnt by machine learning models to convert the hard labels
into probabilistic labels. The probabilistic labels by different learning models are combined …

Shivaji University, Kolhapur, Maharashtra, India madhuri. chavan@ viit. ac. in DKTE Society's Textile and Engineering Institute, Ichalkaranji, Maharashtra, India

MP Karnik, DV Kodavade - … (ISDA 2022) Held December 12-14 …, 2023 - books.google.com
The main objective of automatic text summarization is to create a clear and precise summary
while maintaining the essential information content and overall meaning. For the purpose of …