A Dominance‐Based Rough Set Approach for an Enhanced Assessment of Seasonal Influenza Risk [PDF]
Risk Analysis, 2020 Accounting for about 290,000–650,000 deaths across the globe, seasonal influenza is estimated by the World Health Organization to be a major cause of mortality. Hence, there is a need for a reliable and robust epidemiological surveillance decision‐making
Fatima‐Zohra Younsi +4 more
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Dynamic Knowledge Update Using Three-Way Decisions in Dominance-Based Rough Sets Approach While the Object Set Varies [PDF]
International Journal of Computational Intelligence Systems, 2019 Dominance-based rough set approach is the extension of classical Pawlak rough set theories and methodologies, in which the information with preference-ordered relation on the domain of attribute value is fully considered.
Lei Wang +5 more
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Soft ordered double quantitative approximations based three-way decisions and their applications [PDF]
Scientific Reports, 2022 The classical theory of rough set was established by Pawlak, which mainly focusses on the approximation of sets characterized by a single equivalence relation over the universe. However, most of the current single granulation structure models cannot meet
Gustavo Santos-García +2 more
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With a little help from a computer: discriminating between bacterial and viral meningitis based on dominance-based rough set approach analysis. [PDF]
Medicine (Baltimore), 2017 Differential Diagnosis of bacterial and viral meningitis remains an important clinical problem. A number of methods to assist in the diagnoses of meningitis have been developed, but none of them have been found to have high specificity with 100 ...
Gowin E +5 more
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Jurnal Sistem Informasi, 2012 Penerapan Dominance-based Rough Set Approach (DRSA) untuk menentukan peringkat kualitas sejumlah aplikasi berbasis objek telah dipelajari. DRSA diterapkan untuk memformulasikan satu set klasifikasi dimana kualitas software aplikasi digolongkan ...
Petrus Mursanto, Ardhi Tomiarfi
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Fuzzy Set Extensions of the Dominance-Based Rough Set Approach
Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, 2007 Rough set theory has been proposed by Pawlak in the early 80s to deal with inconsistency problems following from information granulation. It operates on an information table composed of a set U of objects described by a set Q of condition and decision attributes. Decision attributes make a partition of U into decision classes.
Roman Słowiński +5 more
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Generation of Exhaustive Set of Rules within Dominance-based Rough Set Approach
Electronic Notes in Theoretical Computer Science, 2003 AbstractThe rough sets theory has proved to be a useful mathematical tool for the analysis of a vague description of objects. One of extensions of the classic theory is the Dominance-based Set Approach (DRSA) that allows analysing preference-ordered data.
Krzysztof Dembczyński +2 more
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Using a Dominance-based Rough Set Approach for Analysing Business Indicators
Procedia Computer Science, 2015 AbstractThe study demonstrates how to extract essential information from a set of financial and non-financial business indicators, leading to a better understanding of company performance. To this end, use Rough Set Theory and the Dominance principle are used.
Couto, Ayrton Benedito Gaia
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From CBC to clarity: Interpretable detection of beta-thalassemia carriers in imbalanced datasets. [PDF]
PLoS ONEThalassemia is an inherited blood disorder and is among the five most prevalent birth-related complications, especially in Southeast Asia. Thalassemia is classified into two main types-alpha-thalassemia and beta-thalassemia-based on the reduced or absent
Saim Chishti +4 more
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Attribute reduction based on classes in incomplete ordered decision systems [PDF]
Scientific ReportsDominance-based rough set approach (DRSA) has attracted much attention in multi-criteria decision-making problems for data with preference-ordered relations since its inception.
Chunyuan Chen +3 more
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