| H.4 INFORMATION SYSTEMS APPLICATIONS | Article |
FUZZY NEURAL NETWORKS FOR EVALUATING THE CREDITWORTHINESS OF THE BORROWERS |
Abstract: The problem of assessing the creditworthiness of the borrower is considered. The application of fuzzy
neural networks for this problem solution, fuzzy neural networks TSK and Mamdani was s |
| K.4.4 Electronic Commerce | Article |
FUZZY SET THEORY APPROACH AS THE BASIS OF ANALYSIS ... |
Abstract: The problems of formalization of the process of matching different management subjects’ functioning
characteristics obtained on the financial flows analysis basis is considered. Formal ge |
| G.1.6 Optimization | Article |
FUZZY SETS AS A MEAN FOR UNCERTAINTY HANDLING: MATH, APPLIED MATH, HEURISTICS |
Abstract: Number of Disciplines and Theories changed their status from status of Natural Science discipline to Mathematics. The Theory of Probability is the classical example of that kind. The main pr |
| I.5.1 Models | Article |
FUZZY SETS: ABSTRACTION AXIOM, STATISTICAL INTERPRETATION, OBSERVATIONS ... |
Abstract: The issues relating fuzzy sets definition are under consideration including the analogue for separation
axiom, statistical interpretation and membership function representation by the condi |
| G.1.6 Optimization | Article |
FUZZY SETS: MATH, APPLIED MATH, HEURISTICS? PROBLEMS AND INTERPRETATIONS |
Abstract: Number of Disciplines and Theories changed their status from status of Natural Science discipline to
Mathematics. The Theory of Probability is the classical example of that kind. The main p |
| K.3.1 Computer Uses in Education | Article |
GAME-BASED APROACH IN IT EDUCATION |
Abstract: A concept of using game based approach for IT education is presented. The learning course notation
rules for using in games are suggested. Techniques for integration of learning components |
| K.3.1 Computer Uses in Education | Article |
GAME-BASED APROACH IN IT EDUCATION |
Abstract: A concept of using game based approach for IT education is presented. The learning course notation
rules for using in games are suggested. Techniques for integration of learning components |
| I.6 SIMULATION AND MODELING | Article |
GENE CODIFICATION FOR NOVEL DNA COMPUTING PROCEDURES |
Abstract: The aim of the paper is to show how the suitable codification of genes can help to the correct resolution of a problem using DNA computations. Genes are the income data of the problem to sol |
| F.1 COMPUTATION BY ABSTRACT DEVICES | Article |
GENERAL REGRESSION NEURO–FUZZY NETWORK FOR IDENTIFICATION ... |
Abstract: General Regression Neuro-Fuzzy Network, which combines the properties of conventional General
Regression Neural Network and Adaptive Network-based Fuzzy Inference System is proposed in this |
| D.4.3 File Systems Management | Article |
GENERAL STRUCTURE OF COLLECT/REPORT PARADIGM FOR STORING AND ACCESSING BIG DATA |
Abstract: The general structure of Collect/Report Paradigm (CRP) is outlined in this paper. CRP is a
new approach for storing and accessing large amounts of data. Main advantages of CRP are:
(1) col |
| B.3 MEMORY STRUCTURES | Article |
GENERALIZATION BY COMPUTATION THROUGH MEMORY |
Abstract: Usually, generalization is considered as a function of learning from a set of examples. In present work
on the basis of recent neural network assembly memory model (NNAMM), a biologically p |
| I.6.5 Model Development | Article |
GENERALIZATION OF DISTRIBUTING METHODS FOR FUZZY PROBLEMS |
Abstract: We consider rationing problem as a group decision making problem. Fuzzy and crisp generalizations of
the classical rationing methods are proposed. The proposed generalizations are illustrat |
| F.4.3 Formal Languages | Article |
GENERALIZED AXIOMATIC APPROACH TO THE PARETO SET NARROWING |
Abstract: An axiomatic approach to solve the problem of narrowing the Pareto set based on some numerical
information regarding preferences of the decision maker is considered. This approach has been |
| F.4.3 Formal Languages | Article |
Generalized Axiomatic Approach to the Pareto Set Narrowing |
Abstract: An axiomatic approach to solve the problem of narrowing the Pareto set based on some numerical
information regarding preferences of the decision maker is considered. This approach has been |
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