Supplier selection in healthcare supply chain management during the COVID-19 pandemic: a novel fuzzy rough decision-making approach

D Pamucar, AE Torkayesh, S Biswas - Annals of Operations Research, 2023 - Springer
Due to the high necessity of medical face masks and face shields during the COVID-19
pandemic, healthcare centers dealing with infected patients have faced serious challenges …

Sustainability assessment of palm oil industry 4.0 technologies in a circular economy applications based on interval-valued Pythagorean fuzzy rough set-FWZIC and …

HA Ibrahim, AA Zaidan, S Qahtan, BB Zaidan - Applied Soft Computing, 2023 - Elsevier
The palm oil industry is one of the most competitive industries and must comply with industry
standards for flexible supply chain operations, productivity, and sustainability. Many …

Sequential three-way decision and granulation for cost-sensitive face recognition

H Li, L Zhang, B Huang, X Zhou - Knowledge-Based Systems, 2016 - Elsevier
Many previous studies on face recognition attempted to seek a precise classifier to achieve
a low misclassification error, which is based on an assumption that all misclassification costs …

Three-way decisions space and three-way decisions

BQ Hu - Information sciences, 2014 - Elsevier
Abstract Ideas of three-way decisions proposed by Yao come from rough sets. It is well
known that there are three basic elements in three-way decisions theory, which are ordered …

Rough neutrosophic sets

S Broumi, F Smarandache, M Dhar - Infinite Study, 2014 - books.google.com
Rough neutrosophic sets Page 89 Florentin Smarandache (author and editor) Collected
Papers, X Rough Neutrosophic Sets Said Broumi, Florentin Smarandache, Mamoni Dhar Said …

A novel risk decision making based on decision-theoretic rough sets under hesitant fuzzy information

D Liang, D Liu - IEEE Transactions on Fuzzy Systems, 2014 - ieeexplore.ieee.org
Decision-theoretic rough sets (DTRSs) play a crucial role in risk decision-making problems.
With respect to the minimum expected risk, DTRSs deduce the rules of three-way decisions …

Attribute selection with fuzzy decision reducts

C Cornelis, R Jensen, G Hurtado, D Śle - Information Sciences, 2010 - Elsevier
Rough set theory provides a methodology for data analysis based on the approximation of
concepts in information systems. It revolves around the notion of discernibility: the ability to …

Feature selection for dynamic interval-valued ordered data based on fuzzy dominance neighborhood rough set

B Sang, H Chen, L Yang, T Li, W Xu, C Luo - Knowledge-Based Systems, 2021 - Elsevier
Incremental learning strategy based feature selection approaches can improve the efficiency
of reduction algorithm used for datasets with dynamic characteristic, which has attracted …

Interval-valued fuzzy discernibility pair approach for attribute reduction in incomplete interval-valued information systems

J Dai, Z Wang, W Huang - Information Sciences, 2023 - Elsevier
Interval-valued information systems provide rich semantic interpretation and greater
flexibility compared to real-valued information systems. Meanwhile, incomplete interval …

[HTML][HTML] Sustainability in mobility for autonomous vehicles over smart city evaluation; using interval-valued fermatean fuzzy rough set-based decision-making model

HA Ibrahim, S Qahtan, AA Zaidan, M Deveci… - … Applications of Artificial …, 2024 - Elsevier
The simulation tools geared towards promoting sustainability in Mobility as a Service (MaaS)
evaluation is inherently a multi-criteria decision-making (MCDM) challenge due to three …