Intuitionistic fuzzy preference relation has turned out to be a powerful structure in representing the decision makers’ preference information especially when the decision makers are not able to express their preferences accurately due to the unquantifiable information, incomplete information, unobtainable information, partial ignorance, and so forth. The aim of this paper is to develop some te...

In the paper an extended knowledge representation for rules is considered. It is called Extended Tabular Trees (XTT2) and it provides a network of decision units grouping rules working in the same context. The units are linked into an inference network, where a number of inference options are considered. The original contribution of the paper is the proposal and formalization of several differe...

Because of the complexity and fuzziness of the real world, it’s hard to build a dense knowledge system and reason in it with traditional methods. But man can deal with such tasks freely. Inspired by cognition and linguistics, a solution is advanced for reasoning dense knowledge in this paper. Objects and concepts are organized in the form of concept graph. Soaking the nodes in the graph until t...

There are several approaches to knowledge-based configuration, which are successfully applied in technical domains. Nevertheless they appear not to be sufficient for configuring software-based systems, as they primarily proceed in a structurebased manner, but do not take the system’s behavior into account. In this context, the configuration of software-based systems does not mean the programmin...

Product variation and customization is a trend in current market-oriented manufacturing environment. Companies produce products in order to satisfy customer’s needs. In the customization environment, the R&D sector in an enterprise should be able to offer differentiation in product selection after they take the order. Such product differentiation should meet the requirement of cost and manufact...

KBS Development Knowledge Acquisition Business Knowledge Software Knowledge

Current cultural, social, and economic trends challenge traditional concepts of learning and lifelong learning. This paper draws on the twofold nature of learning in a knowledge society and explores options for technological support. The concept of Second-Order Learning Objects is introduced as a potential means to foster generative learning. Generative learning goes beyond that what is already...

This article shows growing popularity of knowledge-based economy and turns attention to the role of knowledge as an important factor of competitive struggle. It presents results of research concerning knowledge management in Polish companies and indicates forms of its acquisition and development. Main barriers and limitations in application of knowledge sources and introduction of knowledge man...

This document presents a theory for knowledge level reeection together with experimental results, proving that it is possible to design knowledge systems intended to build, verify or control other knowledge systems. Furthermore, this may be done in a very simple way and still produce surprisingly eecient results.

The cluster has shown its powerful competitive advantages in global competition. However, as amounts of industrial clusters have displayed their competence, some have lost their competitive advantages in global competition. It is meaningful for clusters’ development to cultivate their sustainable competence. This paper analyzes the sources of cluster competence. According this paper, the import...