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Article
F-EvoRecSys: An Extended Framework for Personalized Well-Being Recommendations Guided by Fuzzy Inference and Evolutionary Computing
People nowadays deal with busy and dynamic lifestyles on a daily basis. Adopting or maintaining a healthy lifestyle to prevent chronic conditions is therefore a core societal challenge. It is thus critical to ...
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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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Article
Comparing Two Novel Hybrid MRDM Approaches to Consumer Credit Scoring Under Uncertainty and Fuzzy Judgments
In the recent years, various statistical and computational intelligence or machine learning techniques have contributed to the progress of automation or semiautomation for measuring consumer credit scoring in ...
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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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Article
Contextual Improvement Planning by Fuzzy-Rough Machine Learning: A Novel Bipolar Approach for Business Analytics
Nearly all companies need to retrieve valuable information from business data to increase its efficiency or value, and the rising interests of research in this domain could be named as business analytics. Beca...
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Article
Fuzzy Inference-Enhanced VC-DRSA Model for Technical Analysis: Investment Decision Aid
To support investment decision based on technical analysis (TA), this study aims to retrieve the knowledge or rules of various indicators by a hybrid soft computing model. Although the validity of TA has been ...
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Article
A decision rule-based soft computing model for supporting financial performance improvement of the banking industry
This study attempts to diagnose the financial performance improvement of commercial banks by integrating suitable soft computing methods. The diagnosis of financial performance improvement comprises of three p...
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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...
