Rationality and aggregation of preferences in an ordinally fuzzy framework
Fuzzy Sets and Systems - Special issue dedicated to Professor Claude Ponsard
On fuzzy strict preference, indifference, and incomparability relations
Fuzzy Sets and Systems - Special issue dedicated to Professor Claude Ponsard
Group decision making and consensus under fuzzy preferences and fuzzy majority
Fuzzy Sets and Systems - Special issue dedicated to Professor Claude Ponsard
Expected utility versus anticipated utility: where do we stand?
Fuzzy Sets and Systems - Special issue dedicated to Professor Claude Ponsard
Fuzzy uncertainty in imperfect competition
Information Sciences—Intelligent Systems: An International Journal
A comparison of fuzzy forecasting and Markov modeling
Fuzzy Sets and Systems
Fuzzy set theory: foundations and applications
Fuzzy set theory: foundations and applications
Soft Computing for Risk Evaluation and Management: Applications in Technology, Environment and Finance
Toward a generalized theory of uncertainty (GTU): an outline
Information Sciences—Informatics and Computer Science: An International Journal
Fuzzy Logic for Business, Finance, and Management
Fuzzy Logic for Business, Finance, and Management
Time series forecasting with a hybrid clustering scheme and pattern recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Tuning of the structure and parameters of a neural network using an improved genetic algorithm
IEEE Transactions on Neural Networks
Artificial intelligence (AI) in sports
AIKED'10 Proceedings of the 9th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
A fuzzy differential approach to strong Allee effect based on the fuzzy extension principle
ICS'10 Proceedings of the 14th WSEAS international conference on Systems: part of the 14th WSEAS CSCC multiconference - Volume I
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In this paper we argue that many economic dynamical systems naturally become fuzzy due to the uncertain initial conditions and parameters. The Fuzzy Economics is defined as human-centric and closer to the reality Economics with fuzzy-logic based representation of the economic agent's behavior. We use linguistic rule-base and fuzzy differential equations for modeling the economic agents. Using fuzzy agents this paper investigates different problems of fuzzy economics and methods of their solutions, namely, time path and stability of the fuzzy dynamic economic systems, fuzzy decision making in oligopolistic economy, neuron-fuzzy time-series forecasting of macroeconomic processes. The suggested approaches to fuzzy macroeconomic optimization and control and prediction problems are successfully applied to path planning and stability analysis of national economy, economic growth, nonlinear manufacture dynamics and portfolio construction.