A thresholded fuzzy c-means algorithm for semi-fuzzy clustering
Pattern Recognition
Machine Learning
Pairwise classification and support vector machines
Advances in kernel methods
Multicategory Classification by Support Vector Machines
Computational Optimization and Applications - Special issue on computational optimization—a tribute to Olvi Mangasarian, part I
Support vector domain description
Pattern Recognition Letters - Special issue on pattern recognition in practice VI
An Improved Cluster Labeling Method for Support Vector Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents
Evolutionary Computation
Domain described support vector classifier for multi-classification problems
Pattern Recognition
Rule Extraction from Support Vector Machines: A Sequential Covering Approach
IEEE Transactions on Knowledge and Data Engineering
Extraction of fuzzy rules from support vector machines
Fuzzy Sets and Systems
A decision support system for supplier selection based on a strategy-aligned fuzzy SMART approach
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Using the analytic hierarchy process to rank foreign suppliers based on supply risks
Computers and Industrial Engineering
Decompositional Rule Extraction from Support Vector Machines by Active Learning
IEEE Transactions on Knowledge and Data Engineering
Supplier selection based on hierarchical potential support vector machine
Expert Systems with Applications: An International Journal
An integrated method for finding key suppliers in SCM
Expert Systems with Applications: An International Journal
Supplier selection: A hybrid model using DEA, decision tree and neural network
Expert Systems with Applications: An International Journal
An integrated fuzzy-lp approach for a supplier selection problem in supply chain management
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
Supplier selection in electronic marketplaces using satisficing and fuzzy AHP
Expert Systems with Applications: An International Journal
The Fuzzy ART algorithm: A categorization method for supplier evaluation and selection
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Sphere-structured support vector machines for multi-class pattern recognition
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Supplier selection using fuzzy quality data and their applications to touch screen
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A study of using RST to create the supplier selection model and decision-making rules
Expert Systems with Applications: An International Journal
A dynamic decision approach for supplier selection using ant colony system
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Application of fuzzy analytic network process for supplier selection in a manufacturing organisation
Expert Systems with Applications: An International Journal
A strategic model using structural equation modeling and fuzzy logic in supplier selection
Expert Systems with Applications: An International Journal
Supplier selection and order allocation based on fuzzy SWOT analysis and fuzzy linear programming
Expert Systems with Applications: An International Journal
An ERP model for supplier selection in electronics industry
Expert Systems with Applications: An International Journal
Fuzzy DEMATEL method for developing supplier selection criteria
Expert Systems with Applications: An International Journal
A combined methodology for supplier selection and performance evaluation
Expert Systems with Applications: An International Journal
Supplier selection with an integrated methodology in unknown environment
Expert Systems with Applications: An International Journal
Rule extraction from support vector machines: A review
Neurocomputing
Using multi-objective genetic algorithm for partner selection in green supply chain problems
Expert Systems with Applications: An International Journal
A weighted additive fuzzy programming approach for multi-criteria supplier selection
Expert Systems with Applications: An International Journal
A case based reasoning approach on supplier selection in petroleum enterprises
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Structured methodology for supplier selection and evaluation in a supply chain
Information Sciences: an International Journal
A fuzzy multi-criteria decision making model for supplier selection
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Fuzzy AHP approach for supplier selection in a washing machine company
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A multi-objective decision making model for the vendor selection problem in a bifuzzy environment
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An integrated fuzzy TOPSIS and MCGP approach to supplier selection in supply chain management
Expert Systems with Applications: An International Journal
Strategic decisions using the fuzzy PROMETHEE for IS outsourcing
Expert Systems with Applications: An International Journal
Green supply chain management with linguistic preferences and incomplete information
Applied Soft Computing
Combining Bayesian Networks and Total Cost of Ownership method for supplier selection analysis
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
Supplier selection using consistent fuzzy preference relations
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A fuzzy-Bayesian model for supplier selection
Expert Systems with Applications: An International Journal
An approach based on ANFIS input selection and modeling for supplier selection problem
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A parsimony fuzzy rule-based classifier using axiomatic fuzzy set theory and support vector machines
Information Sciences: an International Journal
An overview of statistical learning theory
IEEE Transactions on Neural Networks
A comparison of methods for multiclass support vector machines
IEEE Transactions on Neural Networks
Rule extraction from support vector machines based on consistent region covering reduction
Knowledge-Based Systems
Application of decision-making techniques in supplier selection: A systematic review of literature
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
A model based on semi-fuzzy support vector domain description (semi-fuzzy SVDD) is put forward to address multi-classification problem involved in supplier selection. By preprocessing using semi-fuzzy kernel clustering algorithm, original samples are divided into two subsets: deterministic samples and fuzzy samples. Only the fuzzy samples, rather than all original ones, require expert judgment to decide their categories and are selected as training samples to accomplish SVDD specification. Therefore, the samples preprocessing method can not only decrease experts working strength, but also achieve less computational consumption and better performance of the classifier. Nevertheless, in order to accomplish practical decision making, another condition has to be met: good explanations to the decision. A rule extraction method based on cooperative coevolution algorithm (CCEA), is introduced to achieve the target. To validate the proposed methodology, samples from real world were employed for experiments, with results compared with conventional multi-classification support vector machine approaches and other artificial intelligence techniques. Moreover, in terms of rule extraction, experiments on key parameters, different methods including decompositional and pedagogical ones etc. were also conducted.