Hard and soft modelling based knowledge capture for information flow management

Title: Hard and soft modelling based knowledge capture for information flow management
Creator: Szczerbicki, Edward
Relation: Knowledge-based information retrieval and filtering from the web p. 75-100
Relation: http://www.springer.com/east/home?SGWID=5-102-22-33325331-0&changeHeader=true
Publisher: Kluwer Academic Publishers
Resource Type: book chapter
Date: 2003
Description: This chapter addresses the problem of formal (quantitative) and soft (qualitative) modelling of an information flow in autonomous systems that in real life context are formed by agents consisting of people, machines, robots, etc. Models in management science are designed applied to describe, understand, and finally support processes and activities that are primarily intellectual. The problems attacked by these models may arise so frequently that the benefits of routinization are sought or they may be one-of-a-kind situations of such importance that steps are taken to improve the quality for the decision outcome. In other words, models are developed mainly to create knowledge. This is also the main purpose of the modelling platform proposed in this Chapter.
Subject: information; information value; information management; soft modelling
Identifier: uon:2425
Identifier: http://hdl.handle.net/1959.13/29163
Identifier: ISBN:1402075235

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