Comparison of entity with fuzzy data types in fuzzy object-oriented databases
Integrated Computer-Aided Engineering
Integrated Computer-Aided Engineering
Integrated Computer-Aided Engineering
A novel approach to data deduplication over the engineering-oriented cloud systems
Integrated Computer-Aided Engineering
Conceptual design of object-oriented databases for fuzzy engineering information modeling
Integrated Computer-Aided Engineering
Fuzzy agent-based approach for consensual design synthesis in product configuration
Integrated Computer-Aided Engineering
Integrated Computer-Aided Engineering
Integrated Computer-Aided Engineering
Extending engineering data model for web-based fuzzy information modeling
Integrated Computer-Aided Engineering
Querying fuzzy spatiotemporal data using XQuery
Integrated Computer-Aided Engineering
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Existence of heterogeneous results for a particular measurement is a typical problem in engineering sciences. This phenomenon represents data uncertainty. It means that a precise specification of a measurement is not possible. Only a non-stochastic dataset is available. In this paper, a new methodology for modelling of such uncertain measurement as fuzzy variable is presented. The membership function for the unknown fuzzy variable is specified using the methods of fuzzy cluster analysis. With the help of these methods, structures in the dataset are identified and the number of elements of the dataset is partitioned into homogeneous subsets. The fuzzy cluster analysis uses gradual membership of elements to subsets. Within the heterogeneous measurement, homogenous subsets are thus detected and the respective membership values of each element to the subsets are determined. The known homogenous subsets and the associated membership values enable the determination of the membership function of the fuzzy variable which models the measurement. The different homogenous subsets are calculable through non-convex characteristics of the membership function. The above mentioned approach is explained with the help of real measured data as well as data resulted from a numerical simulation and is applied on a structural analysis problem.