This paper presents an approach to the creation of an agent-based system for the
assessment of environmental impact upon human health. As indicators of the environmental …

In this paper, we propose a neural network (NN)-based multi-agent classifier system (MACS)
using the trust, negotiation, and communication (TNC) reasoning model. The main …

In decision support systems, it is essential to get a candidate solution fast, even if it means
resorting to an approximation. This constraint introduces a scalability requirement with …

Extreme Learning Machine improved the iterative procedures of adjusting weights by
randomly selecting hidden neurons besides analytically determining the output weights. In …

In the presented paper, the authors' research work is focused on the analysis of
maintenance decision making process performance with taking into account necessary …

This chapter introduces the main concepts related to this book. The chapter starts offering a
definition of complex systems and introduces some of their principal characteristics. Then …

Web services are widely used as basic constructs to build complex distributed applications
with fast speed and low cost. However, existing service discovery techniques provide users …

Applications need facilities for recognizing and adapting to context in order to provide useful
and user-centered results. There are several problems to be addressed when building …

Despite the critical need for an open architecture in Decision Support System (DSS) design,
present DSS architectural design are unable to provide a fundamental solution to enhance …

W artykule autorzy skupili się na analizie niepewności danych w opracowanym systemie
wsparcia decyzyjnego procesów utrzymania w stanie zdatności środków transportu. We …