摘要:
The disclosure relates to collaborative intelligence and decision-making in an Internet of Things (IoT) device group. In particular, various IoT devices in the group may be interdependent, whereby a decision that one IoT device plans may impact other IoT devices in the group. Accordingly, in response to an IoT device planning a certain decision (e.g., to transition state or initiate another action), the IoT devices in the group may collaborate using distributed intelligence prior to taking action on the planned decision. For example, a recommendation request may be sent to other IoT devices in the group, which may then analyze relationships within the group to assess potential impacts associated with the planned decision and respond to approve or disapprove the planned decision. Based on the responses received from the other IoT devices, the IoT device may then determine whether to take action on the planned decision.
摘要:
A health monitoring (HM) system for complex networked apparatus includes a number of neuro-fuzzy inference (NFI) apparatuses (102) feeding inference results (104) into a data fusion hierarchy (106). At each level in the hierarchy, fuzzy inference is applied to generate a desired output signal by processing selected input signals in accordance with a knowledge base (126) defining fuzzy membership functions and fuzzy inference rules defined in advance. The knowledge base comprises alternative definitions (A, B, C) of membership functions and/or inference rules. The apparatus selects which definition to use according to environmental or other conditions, and predetermined selection criteria. Neuro-fuzzy inference can thus be optimised according to subsets of the full range of operating conditions, leading to a simplification of the real-time inference computation.
摘要:
The present invention relates to a system and a method for automatically determining the relationship between a plurality of tasks comprising a process and then detecting any abnormalities in the execution of the process.
摘要:
A system and a method for managing information encapsulates the information as objects (34). The objects (34) are related by a degree to other objects (34) in a content network (40). The relationships (42) between the objects (34) may be established and enhanced by various means, including combining fuzzy object subsets (34c, 34t), establishing subsets and applying access control, and/or applying edit cascading control to a subset. An attractive user interface (14) facilitates use and management of the network (40) by many users. Access to the content network (40) may be customized for distinct user groups.
摘要:
A process for the computer creation of fuzzy cognitive maps (see Fig. 7) that are used to explore causal relationships (302) between a group of factors and a phenomenon. These fuzzy cognitive maps are constructed using the data derived from Expanded Meta Models (25). These Expanded Meta Models are generated from Monte Carlo simulations that supply the factors under investigation with values, then by incrementing or decrementing these factor values one can generated an Expanded Meta Model (25).
摘要:
This invention discloses a method and a system of making a neuron network model learn the typical past process control results and utilizing this model for the supporting of an operation of a process. The neuron network is given a typical pattern of a plurality of input variables at different points in time as input signals, and is taught corresponding control variables as teaching signals, and untaught input patterns are given to this intelligent neuron network model to have it determine corresponding control variables. A plurality of patterns at predetermined time intervals are preferably used at once as patterns to be taught.