Fuzzy regression analysis using neural networks
Fuzzy Sets and Systems
Some quantities represented by the Choquet integral
Fuzzy Sets and Systems
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Using neural networks to determine Sugeno measures by statistics
Neural Networks
Robust interval regression analysis using neural networks
Fuzzy Sets and Systems
Choquet integral and fuzzy measures on locally compact space
Fuzzy Sets and Systems
A genetic algorithm for determining nonadditive set functions in information fusion
Fuzzy Sets and Systems - Special issue on fuzzy measures and integrals
Fuzzy regression using asymmetric fuzzy coefficients and fuzzified neural networks
Fuzzy Sets and Systems
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Support vector interval regression networks for interval regression analysis
Fuzzy Sets and Systems - Theme: Learning and modeling
Hierarchical MADM with fuzzy integral for evaluating enterprise intranet web sites
Information Sciences—Informatics and Computer Science: An International Journal
Interval estimations of global weights in AHP by upper approximation
Fuzzy Sets and Systems
Genetic algorithms for determining fuzzy measures from data
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Support vector interval regression machine for crisp input and output data
Fuzzy Sets and Systems
Applying fuzzy measures and nonlinear integrals in data mining
Fuzzy Sets and Systems
The evaluation of service quality using generalized Choquet integral
Information Sciences: an International Journal
Fuzzy Classifier Design
Identification of general fuzzy measures by genetic algorithmsbased on partial information
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Face recognition using fuzzy Integral and wavelet decomposition method
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Choquet fuzzy integral-based hierarchical networks for decision analysis
IEEE Transactions on Fuzzy Systems
Expert Systems with Applications: An International Journal
Time-varying effects in the analysis of customer loyalty: A case study in insurance
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
It is known that a hierarchical decision structure consisting of multiple criteria can be modeled by a Choquet integral-based hierarchical network. With a given input-output dataset, the degree of importance of each criterion can be directly obtained from the corresponding connection weight after the network has been trained from samples. Since each output value or the synthetic evaluation of an alternative derived from uncertain assessments has its upper and lower bounds, the degree of importance of each criterion should not be unique and can be distributed in a range. In this paper, the range of the degree of importance of each criterion is obtained by three Choquet integral-based hierarchical networks with the pre-specified hierarchical structure: one is a common network constructed by merely minimizing the least squared error, and the others are employed to determine a nonlinear interval regression model. The above three networks are trained with a given input-output dataset using the proposed genetic algorithm-based learning algorithm. Empirical results of evaluating customer service perceptions on fast food stores demonstrate that the proposed method can identify key factors that have stronger effect on service quality perceptions by employing three Choquet integral-based hierarchical networks with the hierarchical structure to determine possible ranges of the degree of importance of respective aspects and attributes.