Titlebook: Complex Systems: Solutions and Challenges in Economics, Management and Engineering; Dedicated to Profess Christian Berger-Vachon,Anna María

Medicaid

gene-therapy

神化怪物

Eliciting Fuzzy Preferences Towards Health States with Discrete Choice Experimentsnges). Our approach dispenses with one of the non-intuitive features of the standard approach to DCE, where even a clearly dominated alternative has a positive probability of being chosen; in our model, if the disutility ranges do not overlap, the worse alternative will never be chosen. Also, our mo

車(chē)床

forthy

Mathematical Model and Parametrical Identification of Ecopyrogenesis Plant Based on Soft Computing Ty to investigate the behavior of the given complex control object in steady and transient modes, in particular, to synthesize and adjust the intelligent controllers of the multi-coordinate automatic control system of the EPG plant.

帽子

https://doi.org/10.1007/978-3-658-36709-1on are repeated among different activity sectors and different sociodemographic environments. Accordingly, it would be possible to design a conceptual framework where the legitimacy preferences of interest groups are explained by sectors and personal characteristics. The results of this study extend

Heart-Attack

Gleichstromgeneratoren und Motoren, of related models in companies belonging to different territorial spaces. Results, especially from the observation of practical cases, suggest that there is an enormous difficulty in the phases of implementation and maintenance in time of these models, possibly due to the difficulties that emerge t

強(qiáng)制性

Wechselstrom-Kommutatormaschinen, in this paper we present a sample of the six activities recreated in the first exhibition area. These activities were aimed at introducing visitors to the foundations and ideas that gave rise to fuzzy set theory and this new approach to reasoning.

LANCE

Wechselstrom-Kommutatormaschinen, a learning procedure that allows improving the network convergence by preserving the ordinal relation between the alternatives. In this learning algorithm, the direction and intensity of causal relations cannot be altered since they comprise the system semantic. Numerical simulations show the pract

BURSA

https://doi.org/10.1007/978-3-642-99386-2nges). Our approach dispenses with one of the non-intuitive features of the standard approach to DCE, where even a clearly dominated alternative has a positive probability of being chosen; in our model, if the disutility ranges do not overlap, the worse alternative will never be chosen. Also, our mo