Conceptual design of object-oriented databases for fuzzy engineering information modeling

A communication-channel-based representation system for software

“…In applications, requirements are usually imprecise and uncertain [13,40]. Designers may eliminate some design alternatives in early stages with fuzzy methods [39], that may result in loss of information [21].…”

Fuzziness in database management systems: Half a century of developments and future prospects

“…It should be added that object oriented and semi-structured data models have been extended using fuzzy logic, too; cf., e.g., [45,124,10,87,70,67,117,120], but this important development will not be dealt with here due to a lack of space and more specific a character. Moreover, the case of more complex forms of data to be queried, e.g., graphs, will not be dealt with and details can be found in, e.g., Castelltort and Laurent [41,42] or Pivert et al [97,74,102].…”

Self-constructing wavelet neural network algorithm for nonlinear control of large structures

“…Sarbjeet and Datta (2000) applied the sliding mode control strategy to a 20-story 2D frame subjected to a narrow band ground excitation and report more reduction in displacements compared with conventional linear control strategies such as LQR. Combing the concept of fuzzy logic (Kodogiannis et al, 2013;Rigatos, 2013;Yan and Ma, 2013;Fougères and Ostrosi, 2013) with SMC, Kim and Yun (2000) proposed a fuzzy sliding mode control (FSMC) for a three-story benchmark building considering actuator-structure interaction, sensor noise, actuator time delay, precision of the analog-todigital (A/D) and digital-to-analog (D/A) converters, control force saturation range, and order of the control model. They report improved performance for FSMC compared with other control algorithms such as H 2/1 control, optimal polynomial control, neural networks-based control, and SMC.…”