FUZZY C-MEANS AND MIXTURE DISTRIBUTION MODELS IN THE PRESENCE OF NOISE CLUSTERS

2002 ◽  
Vol 02 (04) ◽  
pp. 573-586 ◽  
Author(s):  
SADAAKI MIYAMOTO ◽  
ARNOLD C. ALANZADO

This paper discusses the relationship between the K-L information based FCM method and a mixture distribution model with the EM algorithm when a noise cluster is assumed. Equivalence between the two methods in the sense that the derived solutions are the same is proved. From the equivalence a parameter in the fuzzy model can be estimated by using the mixture distribution model. A regularized FCM algorithm with the noise cluster is moreover derived for which the equivalent statistical model with the EM algorithm does not exist.




2014 ◽  
Vol 986-987 ◽  
pp. 556-559 ◽  
Author(s):  
Shuang Yang ◽  
Min Yang

This thesis applies the thought of cooperative game and studies on the best mode of cooperation and benefit distribution in the charging market in supply chain. Firstly by researching the relationship between the unit cost and the number of charging pile construction, the thesis concludes that grid, gas station and car park three party will participate at the same time. Then, with the data of Beijing charging market, it makes specific accounting of five unions of profit model, and finds out the best program in which the three-party union could be established. Finally, it uses classic Shapley method, getting the distribution models of enterprise union.



Solar Energy ◽  
2019 ◽  
Vol 179 ◽  
pp. 398-409 ◽  
Author(s):  
Joakim Munkhammar ◽  
Joakim Widén


2021 ◽  
Vol 51 ◽  
pp. 102450
Author(s):  
Shota Inokuchi ◽  
Koji Fujii ◽  
Hiroaki Nakanishi ◽  
Aya Takada ◽  
Kazuyuki Saito ◽  
...  




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