Fuzzy Modeling will be defined as the construction of the Fuzzy Inference process. We analyze here this process, very useful for many interesting applications in modeling and optimization problems.Uncertainty Modeling in Knowledge Engineering and Decision Makigdoi:10.1142/9789814417747_0049Angel Garrido
Fuzzy Optimization and Decision Makingis dedicated to the theory and practice of fuzzy optimization and decision making in uncertain conditions. Encompasses theoretical, empirical, and experimental work related to fuzzy modeling and its associated mathematics, solution methods, and systems. ...
FNN model together with GA formed the FNN–GA strategy to the modeling and optimization of FCC gasoline secondary reaction. In this paper, the FNN–GA strategy was proposed to model and optimize the FCC gasoline secondary reaction process in the upgrading riser. A series of experimental runs ...
and assist in making the best possible decisions. It will provide a global forum for advancing the state-of-the-art theory and practice of fuzzy optimization and decision making in the presence of uncertainty. Any theoretical, empirical, and experimental work related to fuzzy modeling and ...
Two non-conventional optimization techniques i.e. fuzzy logic and GA have been applied to determine the optimal process parameter conditions at which the outputs are maximized. As in GA, the fitness function requires an equation, a non-linear second order regression model has been developed to ...
Fuzzy Optimization And Decision Making国际标准简称:FUZZY OPTIM DECIS MA 人气605 《Fuzzy Optimization And Decision Making》是一本专注于COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE领域的English学术期刊,创刊于2002年,由Springer US出版商出版,出版周期Quarterly。该刊发文范围涵盖COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE...
A simulation–optimization modeling approach for watershed-scale agricultural N2O emission mitigation under multi-level uncertainties Article 28 July 2018 Explore related subjects Discover the latest articles and news from researchers in related subjects, suggested using machine learning. Environmental Civil...
As mentioned in section “Introduction”, PSO is a typical optimization algorithm that searches for the best solution by modeling the social behavior of bird flocks and fish schools. The population of the birds is named “swarm”, and the members of the population are called “particles”. Assu...
(2011b) Modeling fuzzy data envelopment analysis by parametric programming method. Expert Systems with Applications 38: 8648–8663 Article Google Scholar Rockafellar T. R., Uryaser S. P. (2000) Optimization of conditional value-at-risk. Journal of Risk 2: 21–41 Google Scholar Wu X., ...
A2: Using self-powered sensors for optimization and metaverse integration of public transportation with AV: Sustainable Development Goal 11 requires widespread public transit. AVs could be key here. Self-powered sensors can optimize and integrate public transit's metaverse. Driverless cars offer great ...