Results 21 to 30 of about 230,891 (293)
An immune algorithm based fuzzy predictive modeling mechanism using variable length coding and multi-objective optimization allied to engineering materials processing [PDF]
In this paper, a systematic multi-objective fuzzy modeling approach is proposed, which can be regarded as a three-stage modeling procedure. In the first stage, an evolutionary based clustering algorithm is developed to extract an initial fuzzy rule ...
Chen, Jun, Mahfouf, M.
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Variational-like inequalities for n-dimensional fuzzy-vector-valued functions and fuzzy optimization
The existing results on the variational inequality problems for fuzzy mappings and their applications were based on Zadeh’s decomposition theorem and were formally characterized by the precise sets which are the fuzzy mappings’ cut sets directly. That is,
Xie Ting, Gong Zengtai
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Solving Fuzzy Optimization Problems Using Shapley Values and Evolutionary Algorithms
The fusion of evolutionary algorithms and the solution concepts of cooperative game theory is proposed in this paper to solve the fuzzy optimization problems.
Hsien-Chung Wu
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Fuzzy Combinatiorial Optimization
Summary: The fuzzy sets theory advanced by Zadeh in 1965 has been useful in the development and application of such fields as fuzzy control, artificial intelligence, and expert systems. Application of fuzzy sets theory to operations research is an important and promising undertaking, but there have been few generalized studies on combinatorial ...
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Fuzzy Robust Design of Dynamic Vibration Absorbers
This paper is dedicated to the development of robust optimization and decision making techniques taking into account the uncertain parameters of linear and nonlinear dynamic vibration absorbers.
A. D. G. Silva +2 more
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Fuzzy optimization of feedback control at induction heating
The problem of multi-criteria fuzzy-optimal feedback control of an induction heater as an object of technological thermophysics with distributed parameters is considered.
Edgar Ya. Rapoport, Nikoly G. Rogachev
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AbstractThe chapter introduces methods of quantifying and modeling qualitative statements concerning system objectives and constraints and thus enabling the analyses of such systems.
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Fuzzy Partition Optimization for Approximate Fuzzy Q-iteration [PDF]
Abstract Reinforcement learning (RL) is a widely used learning paradigm for adaptive agents. Because exact RL can only be applied to very simple problems, approximate algorithms are usually necessary in practice. Many algorithms for approximate RL rely on basis-function representations of the value function (or of the Q-function).
Busoniu, Lucian +3 more
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Fuzzy Group Full Consistency Method for Weight Determination
In this paper, the FUll COnsistency Method (FUCOM) is extended to work in a collective manner, to solve a fuzzy optimization problem and to obtain the fuzzy weights of criteria.
Ilieva Galina
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Fuzzy programming model and its application of the optimization design for smart home system
Owing to the extensive applications of the smart home system in the family level, the optimization design for the smart home system has received considerable research attention.
Haiyan Rui, Changchun Gao
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