Fuzzy Keywords-Driven Public Sports Resource Allocation Strategies Retrieval With Privacy-Preservation

Local Public Health Resource Allocation

Results: Local decision-making authority was perceived as greatly restricted by what public health activities were legally mandated and the categoric nature of funding sources, even as some leaders exercised deliberate strategic approaches. One’s workforce and board of health were also influential in making decisions regarding resource allocations. Challenges were expressed regarding making use...

Constrained Renewable Resource Allocation in Fuzzy Metagraphs via Min-Slack

This paper discusses that the fuzzy metagraphs can be used as a tool for scheduling and control of fuzzy projects. Often, available resources for executing projects may be limited. It is assumed the resources required to accomplish each activity of project (metagraph edges) is renewable. One of the common methods for scheduling projects is using the min-slack. So, first, the forward and bac...

Adaptive Measurement-Based Policy-Driven QoS Management with Fuzzy-Rule-based Resource Allocation

Fixed and wireless networks are increasingly converging towards common connectivity with IP-based core networks. Providing effective end-to-end resource and QoS management in such complex heterogeneous converged network scenarios requires unified, adaptive and scalable solutions to integrate and co-ordinate diverse QoS mechanisms of different access technologies with IP-based QoS. Policy-Based ...

Constrained Consumable Resource Allocation in Uncertain Project Networks with Fuzzy Activity Duration

Data Driven Resource Allocation for Distributed Learning

In distributed machine learning, data is dispatched to multiple machines for processing. Motivated by the fact that similar data points often belong to the same or similar classes, and more generally, classification rules of high accuracy tend to be “locally simple but globally complex” [45], we propose data dependent dispatching that takes advantage of such structure. We present an in-depth an...