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

Amenable

,Order Relations and a Monotone Convergence Theorem in the Class of Fuzzy Sets on ?,,y sets(numbers) on ?. are considered. This extension is a pseudo order ?. defined by a non-empty closed convex cone . and characterized by the projection into its dual cone ... Especially a structure of the lattice is presented on the class of pyramid-type fuzzy sets. Moreover, we study the converge

危險(xiǎn)

Advances in the Egalitarist Approach to Decision-Making in a Fuzzy Environment,optimization, fuzzy relational calculus and possibility theory. This approach subsumes the paradigm of constraint-directed reasoning in Artificial Intelligence and allows for flexible or prioritized constraints. More generally the use of Sugeno integral enables to model generalized forms of prioriti

門(mén)閂

Hadjar Ghadiri-Mohajerzad,Josef Schraderdecision making. This notion of dynamic decision making is addressed in this chapter. Although the study implements Dynamic Programming in optimizing the spare parts inventory of an electrical power plant, the proposed technique is generally applicable to optimize similar categories of objective fun

HEDGE

Little

小丑

Gegenstand und Ziele der Untersuchung,eory is reexamined in the light of possibility theory and Sugeno integral. Older fuzzy pattern matching evaluations turn out to be possibilistic counterparts of expected utility, suitable for a sound modelling of non-repeated decision under uncertainty.

有惡臭

Peak-Bone-Mass

Management of Data Uncertainty in Dynamic Programming,decision making. This notion of dynamic decision making is addressed in this chapter. Although the study implements Dynamic Programming in optimizing the spare parts inventory of an electrical power plant, the proposed technique is generally applicable to optimize similar categories of objective fun

卡死偷電

Discrete Multi-Level Programming in a Dynamic Environment,f decision making will be evaluated through a stage-wise max-min operation and via hierarchical structure as well. Furthermore, the application of resource allocation is developed and a solution procedure is illustrated step by step. Discrete multi-objective and discrete multilevel dynamic programmi

聽(tīng)覺(jué)

Fuzzy Portfolio Model for Decision Making in Investment,oted as a fuzzy number..In this chapter, the new methodologies in dealing with portfolio selection are studied. We explain the fuzzy approach to the decision making in portfolio selection problems after illustrating Bellman-Zadeh’s decision-making approach under uncertain environments and the fuzzy