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以模糊集、粗糙集、进化遗传算法和神经网络算法为代表的软计算方法不仅在其思想内核上与语境论思想存在着诸多的契合之处,而且软计算方法阵营的不断扩大、相互融合及其推陈出新的显著趋势更加强烈地折射与印证了语境论思想趋向的合理性与必然性。在此过程中,一方面,科学语境论思想的引入能够为软计算方法路径的突破起到引导性与支撑性的作用;另一方面,软计算方法的不断革新本身也能够更加丰富与充实语境论思想的科学内涵。
The soft computing methods represented by fuzzy sets, rough sets, evolutionary genetic algorithms and neural network algorithms not only have many coincidences with the contextualism thoughts in their thought kernels, but also expand and integrate the soft computing method camps And its remarkable trend of refurbishment more strongly reflects and confirms the rationality and necessity of the tendency of contextualism. In this process, on the one hand, the introduction of scientific context theory can guide and support the breakthrough of the path of soft computing; on the other hand, the continuous innovation of soft computing methods can also be enriched and enriched Scientific Connotation of Context Theory.