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Chapter and Conference Paper
An Adjusted Apriori Algorithm to Itemsets Defined by Tables and an Improved Rule Generator with Three-Way Decisions
The NIS-Apriori algorithm, which is extended from the Apriori algorithm, was proposed for rule generation from non-deterministic information systems and implemented in SQL. The realized system handles the conc...
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Chapter and Conference Paper
NIS-Apriori Algorithm with a Target Descriptor for Handling Rules Supported by Minor Instances
For each implication \(\tau : Condition\_part\Rightarrow Decision\_part\) defined in table data sets, we se...
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Chapter and Conference Paper
Multi-graded Hybrid MRDM Model for Assisting Financial Performance Evaluation Decisions: A Preliminary Work
This study proposes a novel multiple rule-base decision-making (MRDM) model to transform the current bipolar model into a multi-graded one based on the theoretical foundation of rough set approximations. In th...
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Chapter and Conference Paper
Stable Rules Evaluation for a Rough-Set-Based Bipolar Model: A Preliminary Study for Credit Loan Evaluation
The modern business environment is full of uncertain and imprecise circumstances that require decision makers (DMs) to conduct informed and circumspect decisions. In this regard, rough set theory (RST) has bee...
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Chapter and Conference Paper
Knowledge Supported Refinements for Rough Granular Computing: A Case of Life Insurance Industry
Dominance-based rough set approach (DRSA) has been adopted in solving various multiple criteria classification problems with positive outcomes; its advantage in exploring imprecise and vague patterns is especi...
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Chapter and Conference Paper
Decision Rules-Based Probabilistic MCDM Evaluation Method – An Empirical Case from Semiconductor Industry
Dominance-based rough set approach has been widely applied in multiple criteria classification problems, and its major advantage is the inducted decision rules that can consider multiple attributes in differen...
