By Ryszard Tadeusiewicz (auth.), Katarzyna M. Wegrzyn-Wolska, Piotr S. Szczepaniak (eds.)
Mastering and potent exploration of the net setting wishes new principles, version of recognized equipment in addition to program of refined and powerful technical implementations. between new examine instructions found in relation to net purposes, a striking position is occupied via clever tools defining the subject of soppy computing. This edited publication comprises stories from front of various fields of the internet: software of man-made intelligence, layout, details retrieval and interpretation, person profiling, safeguard, engineering, and so forth. the fabric has been awarded on the 5th Atlantic net Intelligence convention – AWIC’2007 held in Fontainbleau (France) and arranged by means of Esigetel, Technical collage of Lodz, and varnish Academy of Sciences.
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Extra info for Advances in Intelligent Web Mastering: Proceedings of the 5th Atlantic Web Intelligence Conference – AWIC’2007, Fontainbleau, France, June 25 – 27, 2007
FCMs are then able to be used as a tool for handling imprecise, or ill deﬁned, ”fuzzy” problems. This allows the intangible expression of diﬀerences in causal relationships and introduces the partial activation of concepts as opposed to binary activation in classical cognitive maps. The FCM, while still having rigor, approaches human-like thinking and communication. Additionally, verbal evaluations of concepts and relations are directly permissible . The key advantages of FCMs are as follows: 1) They combine the potential for knowledge mapping of complexity, as in concept mapping, with causal relationships that then allow detailed modelling and decision support.
2) To derive a viable architecture for knowledge management and risk mining. 3) To develop qualitative models for detailed analysis and scenario planning. Fig. 1. Company takeover interview using concept mapping Fig. 2. 1 Background When considering the grand challenges for Computational Intelligence (CI)  a fundamental realisation is that for systems to behave with high levels of performance for complex intellectual tasks there must be an extensive knowledge domain. Indeed some authors go further and state that CI is the study of knowledge .
Risk Mining for Strategic Decision Making 23 Knowledge sharing in ontologies is not only achieved through formal and real-world semantics, but also, and this is a very important point, through the consensual engineering of ontologies themselves. Ideally, ontologies are formal vocabularies, shared by a group of individuals that are interested in a speciﬁc domain. However this vision of a shared ontology can only be achieved when using a solid methodology that guarantees the collaborative engineering process.