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In this paper, we consider a fundamental theoretical question: why cannot regular fuzzy implication operator meeting logical properties construct fuzzy system? Through the appropriate choice of the aggregation operator, the center of gravity fuzzy system (COGFS) based on regular fuzzy implication is studied in detail in the paper. Numerical characteristics of the random vector corresponding to the...
Based on a set of input - output data, we first build a joint probability density function of certain two-dimensional random variables utilizing fuzzy inference rules, then propose its marginal probability density function and numerical characteristics. Finally, it is pointed out that the fuzzy system constructed with center of gravity defuzzifier is a regression function in the sense of probability...
In order to obtain a more efficient method of manganese( II) removal, jar test was used to study the effect of potassium manganese(K2MnO4) pre-oxidation on aluminum chloride (AlCl3) coagulation to remove manganese(II). It was investigated that the effect of the dosage ofK2MnO4, dosing time, sedimentation time and common ions on manganese(II) removal. The results showed that, when K2MnO4 was added...
Broadcatching is a promising mechanism to improve the experience of BitTorrent users by automatically downloading files advertised through RSS feeds. However, though widely used, the mechanism itself has not been well studied. In this paper, we conducted extensive experiments on PlanetLab to evaluate the performance of Broadcatching under different typical scenarios. The results demonstrated the effectiveness...
Network link capacity (lc) and available bandwidth (av-bw) are recently considered as importance for various network domains. Consequently, several lc and av-bw measurement techniques and tools have been proposed, where empirical experience, performance comparison and foundational understanding of lc/av-bw measurement have been focused. Many heuristic or non-probabilistic statistical algorithms have...
A modified particle swarm optimization (PSO) algorithm is proposed in this paper to avoid premature convergence with the introduction of mutation operation. The performance of this algorithm is compared to the standard PSO algorithm and experiments indicate that it has better performance with little overhead.
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