Learning fuzzy inference systems using an adaptive membership function scheme

An adaptive membership function scheme for general additive fuzzy systems is proposed in this paper. The proposed scheme can adapt a proper membership function for any nonlinear input-output mapping, based upon a minimum number of rules and an initial approximate membership function. This parameter adjustment procedure is performed by computing the error between the actual and the desired decision surface. Using the proposed adaptive scheme for fuzzy system, the number of rules can be minimized. Nonlinear function approximation and truck backer-upper control system are employed to demonstrate the viability of the proposed method

The translatability of metaphor in LSP: application of a decision-making model

The pragmatic approach to translation implies the consideration of translation as a useful test case for understanding the role of language in social life. Under this view this article analyses the decision-making stage translators go through in the course of formulating a TT. Hence this article contributes both to enhance the status of translation theory and to explain some of the decisions taken by the Spanish translators of three English Manuals of Economics. In short, we have argued that the use of a 'maximax' strategy for translating English metaphors as Spanish similarity-creating metaphors can be attributed to subjective factors, especially to the translators' cognitive system, their knowledge bases, the task specification, and the text type specific problem space. As a result, we have also claimed that proposals for translating microtextual problems —for example, metaphors — can benefit from the study of the above-mentioned subjective factors since they allow or inhibit the translators' choices in the decision-making stage of the translation process

Troping the Enemy: Metaphor, Culture, and the Big Data Black Boxes of National Security

This article considers how cultural understanding is being brought into the work of the Intelligence Advanced Research Projects Activity (IARPA), through an analysis of its Metaphor program. It examines the type of social science underwriting this program, unpacks implications of the agency’s conception of metaphor for understanding so-called cultures of interest, and compares IARPA’s to competing accounts of how metaphor works to create cultural meaning. The article highlights some risks posed by key deficits in the Intelligence Community\u27s (IC) approach to culture, which relies on the cognitive linguistic theories of George Lakoff and colleagues. It also explores the problem of the opacity of these risks for analysts, even as such predictive cultural analytics are becoming a part of intelligence forecasting. This article examines the problem of information secrecy in two ways, by unpacking the opacity of “black box,” algorithm-based social science of culture for end users with little appreciation of their potential biases, and by evaluating the IC\u27s nontransparent approach to foreign cultures, as it underwrites national security assessments

The translatability of metaphor in LSP: application of a decision-making model

The pragmatic approach to translation implies the consideration of translation as a useful test case for understanding the role of language in social life. Under this view this article analyses the decision-making stage translators go through in the course of formulating a TT. Hence this article contributes both to enhance the status of translation theory and to explain some of the decisions taken by the Spanish translators of three English Manuals of Economics. In short, we have argued that the use of a 'maximax' strategy for translating English metaphors as Spanish similarity-creating metaphors can be attributed to subjective factors, especially to the translators' cognitive system, their knowledge bases, the task specification, and the text type specific problem space. As a result, we have also claimed that proposals for translating microtextual problems —for example, metaphors — can benefit from the study of the above-mentioned subjective factors since they allow or inhibit the translators' choices in the decision-making stage of the translation process

Development of accident prediction model by using artificial neural network (ANN)

Statistical or crash prediction model have frequently been used in highway safety studies. They can be used in identify major contributing factors or establish relationship between crashes and explanatory accident variables. The measurements to prevent accident are from the speed reduction, widening the roads, speed enforcement, or construct the road divider, or other else. Therefore, the purpose of this study is to develop an accident prediction model at federal road FT 050 Batu Pahat to Kluang. The study process involves the identification of accident blackspot locations, establishment of general patterns of accident, analysis of the factors involved, site studies, and development of accident prediction model using Artificial Neural Network (ANN) applied software which named NeuroShell2. The significant of the variables that are selected from these accident factors are checked to ensure the developed model can give a good prediction results. The performance of neural network is evaluated by using the Mean Absolute Percentage Error (MAPE). The study result showed that the best neural network for accident prediction model at federal road FT 050 is 4-10-1 with 0.1 learning rate and 0.2 momentum rate. This network model contains the lowest value of MAPE and highest value of linear correlation, r which is 0.8986. This study has established the accident point weightage as the rank of the blackspot section by kilometer along the FT 050 road (km 1 – km 103). Several main accident factors also have been determined along this road, and after all the data gained, it has successfully analyzed by using artificial neural network

Pembangunan dan penilaian modul berbantukan komputer bagi subjek pemasaran : Politeknik Port Dickson

Kajian ini bertujuan membangunkan Modul Berbantukan Komputer (MBK) bagi subjek Pemasaran. MBK ini dibangunkan dengan menggunakan pensian AutoPlay Media dan Flash MX. Sampel kajian ini terdiri daripada 30 orang pelajar Diploma Pemasaran di Politeknik Port Dickson. Data dikumpulkan melalui kaedah soal selidik dan dianalisis berdasarkan kekerpan, peratusan dan skor min dengan menggunakan perisian Statistical Package For Social Sciene (SPSS) versi 11.0. Dapatan kajian menunjukkan penilaian terhadap pembagunan MBK di dalam proses P&P adalah tinggi. Ini bermakna MBK ini sesuai digunakan di Politeknik Port Dickson di dalam proses P&P