Abstract To understand the importance and necessity of studying objective information, in this chapter, it will first analyzes similarities dissimilarities between information subjective knowledge, then introduces basic forms finally gives role information.

In recent years, the optimization of multi-objective service composition in distributed systems has become an important issue. Existing work makes a smaller set Pareto-optimal solutions to represent Pareto Front (PF). However, they do not support complex mapping quality (QoS) objective space, thus having limitations providing representative solutions. We propose enhanced differential evolution ...

Single-objective to multi-objective/many-objective optimization (SMO) is a new paradigm in the evolutionary transfer (ETO), since there are only “1 + 4” pioneering works on SMOs so far, that is, “1” continuous and firstly performed by Professors L. Feng H.D. Wang, “4” proposed our group for discrete cases. As computational paradigm, theoretical insights into relatively rare now. Therefore, we p...

This article was aimed at assessment of selected factors of the work environment, which influenced the operators of harvesters and forwarders. The selection of the work environment factors was based on a thorough literature survey. From the survey exposure to whole-body vibrations, noise (equivalent and peak), microclimatic conditions and mental load were selected for detailed observations. The...

[1] This study examines flood risk perceptions of individuals in the Netherlands using a survey of approximately 1000 homeowners. Perceptions of a range of aspects of flood risk are elicited. Various statistical models are used to estimate the influence of socioeconomic and geographical characteristics, personal experience with flooding, knowledge of flood threats, and individual risk attitudes...

Casella et al. [2, (2009)] proved that, under very general conditions, for normal linear models the Bayes factor for a wide class of prior distributions, including the intrinsic priors, is consistent when the number of parameters does not grow with the sample size n. The special attention paid to the intrinsic priors is due to the fact that they are nonsubjective priors, and thus accessible pri...