The nature of statistical learning theory
The nature of statistical learning theory
Applying fuzzy linear regression to VDT legibility
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
Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models
Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models
Applying neuro-fuzzy adaptive network to humanistic problems
Applying neuro-fuzzy adaptive network to humanistic problems
Support vector fuzzy adaptive network in regression analysis
Computers & Mathematics with Applications
Fuzzy adaptive networks in credit rating and loan approval
MATH'06 Proceedings of the 10th WSEAS International Conference on APPLIED MATHEMATICS
Fuzzy adaptive network in presidential elections
Mathematical and Computer Modelling: An International Journal
Modeling of thermal comfort in air conditioned rooms by fuzzy regression analysis
Mathematical and Computer Modelling: An International Journal
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Although modern computer is the most revolutionary and most powerful tool developed in the twenty's century, it is almost useless for the application of this tool to the not well defined humanistic systems such as politics, law, or even the many hour-to-hour small decisions people make routinely and daily. This is in spite of the fact that the human action of the cognitive band, which is of the order of seconds, is much slower than the speed of the modern computer. In this paper, the author shall first examine the basic differences between the scientific systems and the humanistic systems. Then based on these resulting differences, the author shall propose a neural-soft-computing combined approach, which is naturally suited for the vague and difficult to define humanistic systems. These combined systems are developed during the last approximately twenty years. Yet, it has not applied to the humanistic systems in a systematic and extensive manner. Some of the neural-soft-computing systems, also known as neural-evolutionary operational systems are the combined use of neural network, or support vector machine, with fuzzy system or fuzzy logic and evolutionary operational techniques such as genetic algorithm. Several of these systems are summarized and discussed as to why these systems seem more promising for the handling of humanistic systems. To illustrate the effectiveness of the proposed approaches, several initial applications in the literature are summarized.