Abstract: An Electrical Capacitive Tomography (ECT) sensor system for imaging heterogeneous dielectric material includes multiple ECT sensor heads, a portable, wireless ECT reader that interfaces with the ECT sensor heads. The ECT reader includes an efficient low computational cost fuzzy logic dielectric ECT image synthesizer. The fuzzy logic dielectric ECT image synthesizer can an independent processing chain for each pixel. Due to the low computation cost the fuzzy logic image synthesizer is able to produce video imagery of dynamic flows or reactions.

Abstract: A grading and monitoring system that evaluates a quality of index of a neighborhood via satellite images in described. The system utilizes a fuzzy-logic rule based technique in determining the quality of the neighborhood. The crisp input parameters that define the characteristics of a neighborhood are first fuzzified and based on a set of rules that are obtained from an experts knowledge, an output fuzzy set of type-2 is obtained. Further, the output fuzzy set is aggregated and type-reduced to obtain an output crisp value corresponding to the neighborhoods quality. The system also monitors changes in the neighborhood quality in predetermined time intervals.

Abstract: An Electrical Capacitive Tomography (ECT) sensor system for imaging heterogeneous dielectric material includes multiple ECT sensor heads, a portable, wireless ECT reader that interfaces with the ECT sensor heads. The ECT reader includes an efficient low computational cost fuzzy logic dielectric ECT image synthesizer. The fuzzy logic dielectric ECT image synthesizer can an independent processing chain for each pixel. Due to the low computation cost the fuzzy logic image synthesizer is able to produce video imagery of dynamic flows or reactions.

Abstract: A grading and monitoring system that evaluates a quality of index of a neighborhood via satellite images in described. The system utilizes a fuzzy-logic rule based technique in determining the quality of the neighborhood. The crisp input parameters that define the characteristics of a neighborhood are first fuzzified and based on a set of rules that are obtained from an experts knowledge, an output fuzzy set of type-2 is obtained. Further, the output fuzzy set is aggregated and type-reduced to obtain an output crisp value corresponding to the neighborhoods quality. The system also monitors changes in the neighborhood quality in predetermined time intervals.

Abstract: A system for adaptive intelligent decision making includes circuitry that receives a spatiotemporal problem that includes at least one of a spatial dimension and a temporal dimension. Problem data is assigned to a relative problem space that affects decisions to the spatiotemporal problem. Weighting factors are assigned to the problem data that indicate an effect of the problem data on the decisions to the spatiotemporal problem in order to control relationships between the problem data in the relative problem space. Decisions are determined to the spatiotemporal problem based on decisions between the problem data. Feedback is provided that is related to the decisions and an associated decision confidence factor.