Titlebook: Dynamical Aspects in Fuzzy Decision Making; Yuji Yoshida Book 2001 Springer-Verlag Berlin Heidelberg 2001 Fuzzy Systems.algorithm.algorith

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Volkswirtschaftliche Gesamtrechnungon tree-table method —, which yield a common optimal solution. We also introduce a dynamic programming approach to both fuzzy system and an a posteriori conditional decision process. We show that their stochastic decision process is the a posteriori conditional decision process.

GENRE

defenses

Dealing

Management of Data Uncertainty in Dynamic Programming,orates confidence measure to quantify the data uncertainty. The concept of confidence level enables the utilization of alternative data sources for estimating uncertain data. This algorithm of fuzzy optimization has been applied to optimize the availability of unique spare parts of a power station.

初学者

Discrete Multi-Level Programming in a Dynamic Environment,ierarchical structure of an organization, MLP is a practical and useful approach which is applied to is no traditional technique which is efficient enough to obtain the numerical solution of a reasonable size problem. Shih et al. (1996) proposed a fuzzy approach for the MLP, a supervised search proc

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Two-Stage Linear Recourse Problems under Non-Probabilistic Uncertainty,f possible realizations of parameters are known as a polytope. A two-stage recourse problem is formulated in the pessimistic viewpoint. It is shown that this problem is a convex programming problem with respect to the first stage variable vector and a large-scale linear programming problem when all

Gorilla

Fuzzy Portfolio Model for Decision Making in Investment,lems of decision-making in investment have mainly been studied from optimizing points of view. As the investment is much influenced by the disturbance of a social and economical circumstances, optimization approach is not always the best. It is because problems used to be ill-structured under such i

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