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Optimizing decisions on an ensemble of incomplete disturbance trees and aggregating their first stage decisions has been shown as a promising approach to (model-based) planning under uncertainty in large continuous action spaces and in small discrete ones. The present paper extends this approach and deals with large but highly structured action spaces, through a kernel-based aggregation scheme. The...
With the development of uncertain theory, fuzzy multi attribute decision making has been applicated in more and more areas. This paper established optimization model based on fuzzy ideal points for uncertain multi-attribute decision making problem in which the attribute values are given in the forms of triangular fuzzy number and the information on attribute weights is unknown completely or partly...
The task of continuous online unsupervised learning of streaming data in complex dynamic environments under conditions of uncertainty requires the maximizing (or minimizing) of a certain similarity-based objective function defining an optimal segmentation of the input data set into clusters, which is an NP-hard optimization problem in a general metric space and is computationally intractable for real-world...
Applying EA (evolutionary algorithm) to MOP (multi-objective optimization problem) has become more and more popular. To overcome the shortcomings of those EAs which adopt the real-coded scheme, this paper presents a new EA. It uses the special strategies for the generation, crossover and mutation of population, and does more helpful work to control the diversity of population. Contrasted with other...
The theory of grey systems is a new technique for performing prediction, relational analysis and decision making in many areas. In this paper, the use of grey relational analysis for optimizing the deep-drawing process parameters with considerations of the multiple response is introduced. Various deep-drawing parameters are considered. An orthogonal array is used for the experimental design. The process...
To find the optimal combination of parameters in product or process design, there are always more than one response needed to be optimized simultaneously, which is called as optimization of multi-response problems. TOPSIS (technique for order preference by similarity to ideal solution) method, as a multiple attribute decision making (MADM) methodology, is often used for solving problems with multivariate...
For the status of regional logistics system layout optimization and the current limitations of the method, considered its main factors and related model, this paper studied the regional logistics system layout characteristics, and comprehensive analysis and evaluation have been done on the factors which may exert impact on service range division with AHP and comprehensive fuzzy evaluation. Those factors...
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