A Further Comparison of Splitting Rules for Decision-Tree Induction
Machine Learning
Fuzzy data analysis: methods and industrial applications
Fuzzy Sets and Systems
Integrated product and process design through feedback of manufacturing experience
Computers and Industrial Engineering - Collection of papers on Computer-Integrated Manufacturing
Induction of fuzzy decision trees
Fuzzy Sets and Systems
On the optimization of fuzzy decision trees
Fuzzy Sets and Systems
Fuzzy Logic
Machine Learning
Improving search results with data mining in a thematic search engine
Computers and Operations Research
Fuzzy multi-criteria selection of object-oriented simulation software for production system analysis
Computers and Operations Research
Fuzzy decision trees: issues and methods
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Fuzzy Systems
Fuzzifying Gini Index based decision trees
Expert Systems with Applications: An International Journal
Information systems outsourcing decisions using a group decision-making approach
Engineering Applications of Artificial Intelligence
Human cognition as an intelligent decision support system for plastic products' design
Expert Systems with Applications: An International Journal
Extraction of fuzzy rules from fuzzy decision trees: An axiomatic fuzzy sets (AFS) approach
Data & Knowledge Engineering
Decision trees: a recent overview
Artificial Intelligence Review
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One of the most popular strategies in business today is global outsourcing. The information which needs to be provided for outsourcing and obtained from outsourced maintenance during the R&D processes is very important for the successful development of a product. Although DFX plays a key role in the R&D processes by considering the important X item constraints simultaneously in the design stage, the vague outsourced maintenance data and knowledge are seldom properly analyzed and used. In this study, fuzzy decision tree is used to form a search mechanism for vague knowledge in design for outsourcing (DFO) with index for classifying vague knowledge. Computational experiments were conducted to demonstrate the performance of the proposed search mechanism and knowledge classification.