International Journal of Man-Machine Studies
A rough set approach to attribute generalization in data mining
Information Sciences: an International Journal
Computers and Industrial Engineering
Rough set methods in feature selection and recognition
Pattern Recognition Letters - Special issue: Rough sets, pattern recognition and data mining
Finding fuzzy classification rules using data mining techniques
Pattern Recognition Letters
Reduction method for concept lattices based on rough set theory and its application
Computers & Mathematics with Applications
Induction of multiple criteria optimal classification rules for biological and medical data
Computers in Biology and Medicine
Concept similarity in Formal Concept Analysis: An information content approach
Knowledge-Based Systems
Formal concept analysis in information science
Annual Review of Information Science and Technology
A rough set approach for selecting clustering attribute
Knowledge-Based Systems
Processing online analytics with classification and association rule mining
Knowledge-Based Systems
Formal concept analysis as mathematical theory of concepts and concept hierarchies
Formal Concept Analysis
Fuzzy rough set based attribute reduction for information systems with fuzzy decisions
Knowledge-Based Systems
Exploring the preference of customers between financial companies and agents based on TCA
Knowledge-Based Systems
Dominance-based rough set model in intuitionistic fuzzy information systems
Knowledge-Based Systems
Approximations and uncertainty measures in incomplete information systems
Information Sciences: an International Journal
PB-ADVISOR: A private banking multi-investment portfolio advisor
Information Sciences: an International Journal
Attribute Reduction in Formal Contexts: A Covering Rough Set Approach
Fundamenta Informaticae - Knowledge Technology
On multi-adjoint concept lattices based on heterogeneous conjunctors
Fuzzy Sets and Systems
On interval type-2 rough fuzzy sets
Knowledge-Based Systems
Rough set model based on formal concept analysis
Information Sciences: an International Journal
An extended fuzzy measure on competitiveness correlation based on WCY 2011
Knowledge-Based Systems
Do impression management tactics and/or supervisor-subordinate guanxi matter?
Knowledge-Based Systems
A bottom-up algorithm of vertical assembling concept lattices
International Journal of Data Mining and Bioinformatics
Hi-index | 0.00 |
The classical Rough Set Theory (RST) always generates too many rules, making it difficult for decision makers to choose a suitable rule. In this study, we use two processes (pre process and post process) to select suitable rules and to explore the relationship among attributes. In pre process, we propose a pruning process to select suitable rules by setting up a threshold on the support object of decision rules, to thereby solve the problem of too many rules. The post process used the formal concept analysis from these suitable rules to explore the attribute relationship and the most important factors affecting decision making for choosing behaviours of personal investment portfolios. In this study, we explored the main concepts (characteristics) for the conservative portfolio: the stable job, less than 4 working years, and the gender is male; the moderate portfolio: high school education, the monthly salary between NT$30,001 (US$1000) and NT$80,000 (US$2667), the gender is male; and the aggressive portfolio: the monthly salary between NT$30,001 (US$1000) and NT$80,000 (US$2667), less than 4 working years, and a stable job. The study result successfully explored the most important factors affecting the personal investment portfolios and the suitable rules that can help decision makers.