The publication of the famous novel The Sound and The Fury projects the long-enduring reputation of William Faulkner as a household American writer in every nook and cranny of the world.Just in this novel,Faulkner emp...The publication of the famous novel The Sound and The Fury projects the long-enduring reputation of William Faulkner as a household American writer in every nook and cranny of the world.Just in this novel,Faulkner employs the literary device of stream of consciousness and makes a good play with time and order to his own joy,which makes it an outstanding literary feature in the novel.In this essay,the unusual conceptions of time and order in the novel are tentatively probed mainly from the following three perspectives:1) the initiative for Faulkner creating the novel as a novel against time and order.2) the disordered arrangement as an artistic device——the optimum key to delivering the story.3) the potential order underlying the seeming disorder in the novel.展开更多
To enhance the accuracy of intuitionistic fuzzy time series forecasting model, this paper analyses the influence of universe of discourse partition and compares with relevant literature. Traditional models usually par...To enhance the accuracy of intuitionistic fuzzy time series forecasting model, this paper analyses the influence of universe of discourse partition and compares with relevant literature. Traditional models usually partition the global universe of discourse, which is not appropriate for all objectives. For example, the universe of the secular trend model is continuously variational. In addition, most forecasting methods rely on prior information, i.e., fuzzy relationship groups (FRG). Numerous relationship groups lead to the explosive growth of relationship library in a linear model and increase the computational complexity. To overcome problems above and ascertain an appropriate order, an intuitionistic fuzzy time series forecasting model based on order decision and adaptive partition algorithm is proposed. By forecasting the vector operator matrix, the proposed model can adjust partitions and intervals adaptively. The proposed model is tested on student enrollments of Alabama dataset, typical seasonal dataset Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX) and a secular trend dataset of total retail sales for social consumer goods in China. Experimental results illustrate the validity and applicability of the proposed method for different patterns of dataset.展开更多
文摘The publication of the famous novel The Sound and The Fury projects the long-enduring reputation of William Faulkner as a household American writer in every nook and cranny of the world.Just in this novel,Faulkner employs the literary device of stream of consciousness and makes a good play with time and order to his own joy,which makes it an outstanding literary feature in the novel.In this essay,the unusual conceptions of time and order in the novel are tentatively probed mainly from the following three perspectives:1) the initiative for Faulkner creating the novel as a novel against time and order.2) the disordered arrangement as an artistic device——the optimum key to delivering the story.3) the potential order underlying the seeming disorder in the novel.
基金supported by the National Natural Science Foundation of China(61309022)
文摘To enhance the accuracy of intuitionistic fuzzy time series forecasting model, this paper analyses the influence of universe of discourse partition and compares with relevant literature. Traditional models usually partition the global universe of discourse, which is not appropriate for all objectives. For example, the universe of the secular trend model is continuously variational. In addition, most forecasting methods rely on prior information, i.e., fuzzy relationship groups (FRG). Numerous relationship groups lead to the explosive growth of relationship library in a linear model and increase the computational complexity. To overcome problems above and ascertain an appropriate order, an intuitionistic fuzzy time series forecasting model based on order decision and adaptive partition algorithm is proposed. By forecasting the vector operator matrix, the proposed model can adjust partitions and intervals adaptively. The proposed model is tested on student enrollments of Alabama dataset, typical seasonal dataset Taiwan Stock Exchange Capitalization Weighted Stock Index (TAIEX) and a secular trend dataset of total retail sales for social consumer goods in China. Experimental results illustrate the validity and applicability of the proposed method for different patterns of dataset.
