id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-029051-ib189vow	Li, Jianjun	Research on Crowd-Sensing Task Assignment Based on Fuzzy Inference PSO Algorithm	2020-06-22		.txt	text/plain	3683	203	57	The experimental results show that the FPSO algorithm not only has faster convergence rate than the other algorithms, and shorten the task completion time, reduce the platform's perceived cost, improve the user's load balance, and have a good application effect in the crowd sensing task assignment. Therefore, the main problem solved by the fuzzy inference PSO algorithm crowd sensing task assignment method is: how to perform task assignment for the multi-task of less user participants, which can ensure that the given number of tasks is completed in the shortest time, the perceived cost is the lowest, and user load balancing is optimal. For the problem of poor user load balance in mobile commerce, a fuzzy inference particle swarm crowd sensing task assignment method is proposed to improve the global search ability of the algorithm and avoid falling into local optimum.	./cache/cord-029051-ib189vow.txt	./txt/cord-029051-ib189vow.txt