An immune algorithm based fuzzy predictive modeling mechanism using variable length coding and multi-objective optimization allied to engineering materials processing [PDF]
, 2008 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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Generalized derivatives and optimization problems for n-dimensional fuzzy-number-valued functions
Open Mathematics, 2020 In this paper, we present the concepts of generalized derivative, directional generalized derivative, subdifferential and conjugate for n-dimensional fuzzy-number-valued functions and discuss the characterizations of generalized derivative and ...
Xie Ting, Gong Zengtai, Li Dapeng
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Variational-like inequalities for n-dimensional fuzzy-vector-valued functions and fuzzy optimization
Open Mathematics, 2019 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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Fuzzy Combinatiorial Optimization
Journal of Japan Society for Fuzzy Theory and Systems, 1992 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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The World of Combinatorial Fuzzy Problems and the Efficiency of Fuzzy Approximation Algorithms
, 2015 We re-examine a practical aspect of combinatorial fuzzy problems of various types, including search, counting, optimization, and decision problems. We are focused only on those fuzzy problems that take series of fuzzy input objects and produce fuzzy ...
Yamakami, Tomoyuki
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Fuzzy Chance-constrained Programming Based Security Information Optimization for Low Probability of Identification Enhancement in Radar Network Systems [PDF]
, 2015 In this paper, the problem of low probability of identification (LPID) improvement for radar network systems is investigated. Firstly, the security information is derived to evaluate the LPID performance for radar network.
Chen, J. +3 more
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Enhanced genetic algorithm-based fuzzy multiobjective strategy to multiproduct batch plant design [PDF]
, 2009 This paper addresses the problem of the optimal design of batch plants with imprecise demands in product amounts. The design of such plants necessary involves how equipment may be utilized, which means that plant scheduling and production must constitute
Aguilar-Lasserre, Alberto +3 more
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Fuzzy Robust Design of Dynamic Vibration Absorbers
Shock and Vibration, 2016 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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, 2022 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]
IFAC Proceedings Volumes, 2008 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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