Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Chi2: Feature Selection and Discretization of Numeric Attributes
TAI '95 Proceedings of the Seventh International Conference on Tools with Artificial Intelligence
Inventory lot-sizing with supplier selection using hybrid intelligent algorithm
Applied Soft Computing
Review: Dimensionality reduction based on rough set theory: A review
Applied Soft Computing
Expert Systems with Applications: An International Journal
A fuzzy c-means clustering-based fragile watermarking scheme for image authentication
Expert Systems with Applications: An International Journal
Discernibility matrix simplification for constructing attribute reducts
Information Sciences: an International Journal
Supplier selection based on hierarchical potential support vector machine
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
Financial time-series analysis with rough sets
Applied Soft Computing
A confirmation technique for predictive maintenance using the Rough Set Theory
Computers and Industrial Engineering
The Fuzzy ART algorithm: A categorization method for supplier evaluation and selection
Expert Systems with Applications: An International Journal
A hybrid forecast marketing timing model based on probabilistic neural network, rough set and C4.5
Expert Systems with Applications: An International Journal
A hybrid approach for supplier cluster analysis
Computers & Mathematics with Applications
Review article: A review of soft computing applications in supply chain management
Applied Soft Computing
Evaluation of e-learning systems based on fuzzy clustering models and statistical tools
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
Rough set based approaches to feature selection for Case-Based Reasoning classifiers
Pattern Recognition Letters
Combining Bayesian Networks and Total Cost of Ownership method for supplier selection analysis
Computers and Industrial Engineering
Clustering and selecting suppliers based on simulated annealing algorithms
Computers & Mathematics with Applications
Approximate boolean reasoning: foundations and applications in data mining
Transactions on Rough Sets V
A fuzzy-Bayesian model for supplier selection
Expert Systems with Applications: An International Journal
Supplier selection using a novel intuitionist fuzzy clustering approach
Applied Soft Computing
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Supplier evaluation and selection process has a critical role and significant impact on purchasing management in supply chain. It is also a complex multiple criteria decision making problem which is affected by several conflicting factors. Due to multiple criteria effects the evaluation and selection process, deciding which criteria have the most critical roles in decision making is a very important step for supplier selection, evaluation and particularly development. With this study, a hybridization of fuzzy c-means (FCM) and rough set theory (RST) techniques is proposed as a new solution for supplier selection, evaluation and development problem. First the vendors are clustered with FCM algorithm then the formed clusters are represented by their prototypes that are used for labeling the clusters. RST is used at the next step of modeling where we discover the primary features in other words the core evaluation criteria of the suppliers and extract the decision rules for characterizing the clusters. The obtained results show that the proposed method not only selects the best supplier(s), also clusters all of the vendors with respect to fuzzy similarity degrees, decides the most critical criteria for supplier evaluation and extracts the decision rules about data.