"... In PAGE 5: ... In general, the matrix knowledge representation form is described by a set of alternatives A1; A2; : : : ; An and a set of criteria E1; E2; : : : ; Em. Thus, a matrix Mi of dimensions [n m] ( Table3 ) arises where each element eij is in general a fuzzy relation between alter- native Ai and criteria Ej. The total evaluation of an alternative Ai is described by a fuzzy vector as de ned by K oczy [11]: ei = (ei1; ei2; : : : ; eim) (3) The meaning of the evaluation depends on the concrete application, e.... ..."

"... In PAGE 5: ... Rule managers unsubscribe a given event type (3) when there are no rules triggered by such an event because rules were either erased or deactivated. Transaction managers cooperation (see production rules in Table2 ) include (de)connection of managers (1,9); and transaction management for reaction execution. Rule Table 2.... In PAGE 5: ...and transaction managers exchange different information depending on rule behavior. For an immediate rule transac- tion managers start a new global transaction (in)dependent of the triggeringone IdTT (see rules 2,3 in Table2 ). Differed rules are executed before the prepare phase (4) or after global triggering transactions commit (5).... ..."

"... In PAGE 11: ... A set of four knowledge bases covering all the diagnoses considered in the area of onco-pathology has been developed in cooperation with Hlava apos;s Patho-Anatomical Institute, Charles University, Prague. The overview of the knowledge base set structure is presented in the following table ( Table2 ): Table 2: The structure of the knowledge bases ... ..."

"... In PAGE 9: ... On the other hand, the combined manual-automatic style outperforms the completely automatic decision tree construction for most of the datasets especially when incorporating domain knowledge of the user. Table4 reports the tree size (number of leaf nodes) for the four different styles of cooperative decision tree construction. Automatic-manual has in general a low tree size, but it is outperformed by the automatic style on the Shuttle and Australian datasets and by the manual style on the Satimage dataset.... ..."

"... In PAGE 9: ... On the other hand, the combined manual-automatic style outperforms the completely automatic decision tree construction for most of the datasets especially when incorporating domain knowledge of the user. Table4 reports the tree size (number of leaf nodes) for the four different styles of cooperative decision tree construction. Automatic-manual has in general a low tree size, but it is outperformed by the automatic style on the Shuttle and Australian datasets and by the manual style on the Satimage dataset.... ..."

"... In PAGE 18: ... On the other hand, the combined manual-automatic style outperforms the completely automatic decision tree construction for most of the datasets especially when incor- porating domain knowledge of the user. Table4 reports the tree size (number of leaf nodes) for the four different styles of cooperative decision tree construction. Automatic-manual has in general a low tree size, but it is outper- formed by the automatic style on the Shuttle and Australian datasets and by the manual style on the Satimage dataset.... ..."

"... In PAGE 4: ... The major implication of these various concep- tions of knowledge is that each perspective suggests a different strategy for managing the knowledge and a different perspective of the role of systems in support of knowledge management. Table1 summarizes the various views of knowl- edge just discussed and their implications for knowledge management and knowledge manage- ment systems. The perspective relied upon most heavily in this article is that implied in the distinc- tion of knowledge from data and information, closely related to the perspective of knowledge as a state of mind.... ..."

"... In PAGE 1: ... In multi-stage stochastic games, the execu- tion of a joint action yields not only a common reward but also the transition of the agents to a new state. Table1... ..."

"... In PAGE 17: ....2.2 Capturing life cycle intent A wish to allow modification and iteration until all product life-cycle specifications are fully satisfied has been addressed in the area of capturing life cycle intent, Figure 1. Numerous efforts have been done to support different disciplines where many knowledge-modelling techniques have been developed, Table1 . The main idea has been to show how these methods can reduce the lead-time of the product development process and increase the quality of the processes.... In PAGE 18: ... Support is needed to help participating teams cooperate and achieve a balanced view before design decisions. With the help of modelling techniques presented in Table1 , different support system are developed to assist engineers perform their tasks. A number of Knowledge Based System (KBS) definitions exist; see Table 2.... In PAGE 23: ...as the knowledge exists in a number of disciplines from business to maintenance activities. A number of modelling techniques, Table1 , have been used to capture, support or automate different engineering activities. No technique will capture all aspects within the engineering domain.... In PAGE 39: ... [19], 2004 Agents and case based reasoning (CBR) Induction motors Product Support Diagnostics Yang et al. [20], 2004 Table1 . Some Knowledge Modeling Techniques.... In PAGE 39: ... Some Knowledge Modeling Techniques. All the knowledge modeling techniques presented in Table1 have different advantages depending on what knowledge is of interest to capture. Design Rationale, for example, captures decisions made during design so as to not lose the knowledge behind how and why certain decisions were made.... In PAGE 40: ... Definitions on Knowledge Based Systems. 4 Knowledge Enabled Engineering Approach Methods exist to capture and model knowledge, all with their advantages and disadvantages as seen in Table1 . Regardless what system/method is chosen, none will be the best in solving all problems.... In PAGE 60: ...3 Knowledge formalization The acquired knowledge was formalized through a company format used for building object oriented product models. Table1 shows an example from the formalized knowledge corresponding to the acquired knowledge in section 3.2.... In PAGE 60: ...3.1 Table1 . Excerpt from the formalized knowledge.... ..."

"... In PAGE 3: ... This enables our system to obtain semantic paths between pairs of concepts by integrating various types of semantic informa- tion readily available in WordNet. Table1 shows the number of words and concepts for each part of speech. In its current version WordNet 1.... ..."