Computational Intelligence: Concepts to Implementations
Computational Intelligence: Concepts to Implementations
A spectrum of compromise aggregation operators for multi-attribute decision making
Artificial Intelligence
Handling Linguistic Values in Knowledge Acquisition
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
Decision Fusion on Boosting Ensembles
ANNPR '08 Proceedings of the 3rd IAPR workshop on Artificial Neural Networks in Pattern Recognition
The Mixture of Neural Networks as Ensemble Combiner
ANNPR '08 Proceedings of the 3rd IAPR workshop on Artificial Neural Networks in Pattern Recognition
New Results on Combination Methods for Boosting Ensembles
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
Alternative diagnosis of corporate bankruptcy: A neuro fuzzy approach
Expert Systems with Applications: An International Journal
Combination methods for ensembles of RBF networks
NN'05 Proceedings of the 6th WSEAS international conference on Neural networks
Combination methods for ensembles of multilayer feedforward
NN'05 Proceedings of the 6th WSEAS international conference on Neural networks
Combination methods for ensembles of RBFs
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Combination methods for ensembles of MF
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
CSCWD'05 Proceedings of the 9th international conference on Computer Supported Cooperative Work in Design II
An approach to generalization of fuzzy TOPSIS method
Information Sciences: an International Journal
An integrated fuzzy-grey based approach to group decision making problem for a wagon company
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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Usually, in preparing a decision a hierarchy of criteria for evaluating alternatives can he agreed upon by the decision makers. The problem addressed in this paper is the appropriate modelling of such evaluations and their aggregation in order to arrive at a proper overall evaluation function by which the decision alternatives can be ordered easily. Representing the criteria (subjective categories) by fuzzy sets it is possible to use aggregation operators as models for the amalgamation of those criteria. In the framework of an empirical research project a hierarchy of criteria was developed for the evaluation of credit worthiness of customers. 50 credit applications were evaluated by a number of credit managers of banks and their judgement could be appropriately modelled by a four level hierarchy of criteria.