https://refubium.fu-berlin.de/handle/fub188/17689 Tue, 28 Apr 2026 00:06:23 GMT 2026-04-28T00:06:23Z https://refubium.fu-berlin.de/handle/fub188/19109 A computational model for information value Schaal, Markus The estimation of information value will be a key issue for upcoming intelligent information systems, that not only provide information on request but deal with time-dependently varying information needs. Due to its subjective nature, information value cannot be computed and each individual has a different perception of what exactly is relevant to him. However, we propose a concept of information value and a computational model for its estimation. Our model is based upon the observation that information concerning the future can easily be divided into relevant and irrelevant information as long as the future is deterministic and well known. We use a network representation of uncertain quantities to model the uncertainty of the future. Information value is introduced as the likelihood of reaching a situation in the future where the information is relevant. The approach is demonstrated for the modelling of individual travel planning. Sat, 01 Jan 2000 00:00:00 GMT https://refubium.fu-berlin.de/handle/fub188/19109 2000-01-01T00:00:00Z https://refubium.fu-berlin.de/handle/fub188/19228 A design methodology for data warehouses Herden, Olaf The objective of this work is to develop a design methodology for data warehouses. It is based on the three level modeling approach with emphasis on conceptual modeling. Logical design to the relational model and physical tuning in this environment will also be treated. Sat, 01 Jan 2000 00:00:00 GMT https://refubium.fu-berlin.de/handle/fub188/19228 2000-01-01T00:00:00Z https://refubium.fu-berlin.de/handle/fub188/18233 An information systems assessment framework for agile manufacturing Coronado, Adrian E. Turmoil in the business environment is driving manufacturing companies to become agile. Agility means the capability of operating profitably in a competitive environment of continuous and unpredictable changes with information systems regarded as one of its main enablers. The research presented in this work focuses on the assessment of information systems to support agile manufacturing. The assessment framework is constructed upon a series of competitive bases (six) and agility attributes (32) identified in the literature. Other issues included cover the characteristics of the business environment and the evolution/development and infrastructure of information systems. The framework is validated through a survey research instrument and the responses analysed with statistical tests (descriptive statistics, factor analysis, linear regression and reliability). The results of the statistical analysis enabled us to determine the attributes identified as predictors for the set of questions linking information systems and agile manufacturing. Due to the fuzzy nature of assessment of information systems, the complete framework can be presented as a hierarchy where techniques like AHP and fuzzy language sets are applicable. The findings will enable the researchers to clearly identify the trends adopted by manufacturing companies in the utilisation of information systems to gain competitive edge in support of the concept of agile manufacturing. Sat, 01 Jan 2000 00:00:00 GMT https://refubium.fu-berlin.de/handle/fub188/18233 2000-01-01T00:00:00Z https://refubium.fu-berlin.de/handle/fub188/18433 CLIQ Hinrichs, Holger The primary objective of this work is to develop a concept for a holistic data quality management which is based on formal data quality metrics and a well–defined process model. The extensive use of metadata provides a flexible adaptation to various application domains and a maximum degree of automation. Sat, 01 Jan 2000 00:00:00 GMT https://refubium.fu-berlin.de/handle/fub188/18433 2000-01-01T00:00:00Z