• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2005년도 ICCAS
• /
• pp.427-432
• /
• 2005

This paper is concerned with a simultaneous design of TSK (Takagi-Sugeno-Kang)-linguistic fuzzy models with uncertain model output and the computationally efficient representation. For this purpose, we use the fundamental idea of linguistic models introduced by Pedrycz and develop their comprehensive design framework. The design process consists of several main phases such as (a) the automatic generation of the linguistic contexts by probabilistic distribution using CDF (conditional density function) and PDF (probability density function) (b) performing context-based fuzzy clustering preserving homogeneity based on the concept of fuzzy granulation (c) augment of bias term to compensate bias error (d) combination of TSK and linguistic context in the consequent part. Finally, we contrast the performance of the enhanced models with other fuzzy models for automobile MPG predication data and coagulant dosing process in a water purification plant.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2005년도 ICCAS
• /
• pp.1510-1515
• /
• 2005

This paper is concerned with a Logic-based Fuzzy Neural Networks (LFNN) with the aid of fuzzy granulation. As the underlying design tool guiding the development of the proposed LFNN, we concentrate on the context-based fuzzy clustering which builds information granules in the form of linguistic contexts as well as OR fuzzy neuron which is logic-driven processing unit realizing the composition operations of T-norm and S-norm. The design process comprises several main phases such as (a) defining context fuzzy sets in the output space, (b) completing context-based fuzzy clustering in each context, (c) aggregating OR fuzzy neuron into linguistic models, and (c) optimizing connections linking information granules and fuzzy neurons in the input and output spaces. The experimental examples are tested through two-dimensional nonlinear function. The obtained results reveal that the proposed model yields better performance in comparison with conventional linguistic model and other approaches.

• 전자공학회논문지CI
• /
• 제47권3호
• /
• pp.76-82
• /
• 2010

본 논문은 수치적인 입출력데이터로부터 언어적인 규칙을 생성시키기 위한 체계적인 접근방법으로써 정보입자(information granules)에 근거한 언어적인 모델(LM: Linguistic Model)을 발전시킨다. Pedrycz에 의해 소개된 언어적인 모델은 컨텍스트 기반 퍼지 클러스터링(CFC: Context-based Fuzzy Clustering)으로부터 얻어지는 퍼지 정보입자에 의해 수행되어지며, 이는 입력과 출력공간과 연관된 클러스터 된 데이터들의 동질성을 보존하도록 클러스터를 추정한다. 언어적인 모델의 효능성은 이전 연구에서 이미 증명되었음에도 불구하고 성능 측면에서 개선시킬 필요성이 있다. 따라서, 본 논문에서는 기존 언어적인 모델의 근사화와 일반화 성능을 모두 향상시키기 위해 언어적인 컨텍스트의 자동적인 생성, 바이어스항의 추가, 결론부 파라미터의 변형된 구조를 통해 이루어진다. 실험결과는 자동차 연료소비량 예측문제와 보스턴 housing 데이터를 통해 제안된 방법이 언어적인 모델뿐만 아니라 기존 방법들보다 우수함을 증명한다.

• 중국학논총
• /
• 제70호
• /
• pp.61-86
• /
• 2021

本文主要討論了語境在中韓語篇翻譯中的作用。作者把韓礼德的語境三分法, 應用于中韓語篇翻譯實踐中。概括起來設, 上下文語境(又称爲語言語境)是指一个詞, 一个短語, 乃至更長的語篇前后的内容。情景語境就是語域變量, 語域變量可分爲以下三种 : 語場, 語旨和語式, 最后, 文化語境指語篇所涉及的社會, 文化, 經濟, 宗教和政治背景等。作者把語境分爲上下文語境, 情景語境和文化語境, 深入探討了中韓翻譯中的語境問題。作者把文化語境, 還分爲文化詞和文化含義詞的影響与制約和文化詞的翻譯戰略二部分, 論述了文化詞翻譯的難点以及文化詞的翻譯技巧。通過語境分析我們可以看出, 在中韓翻譯實踐中利用語境因素能排除歧義 ; 借助語境中特定的情境意義在譯文中重构原文中用語法, 語用和語体等表現出的意義。最后, 我們在翻譯過程中依靠文化語境能判斷在原文中文化詞所含有的詞義。

• Nuclear Engineering and Technology
• /
• 제53권11호
• /
• pp.3675-3684
• /
• 2021

Human reliability analysis (HRA) is a proactive approach to model and evaluate human systematic errors, and has been extensively applied in various complicated systems. Dependence assessment among human errors plays a key role in the HRA, which relies heavily on the knowledge and experience of experts in real-world cases. Moreover, there are ofthen different types of uncertainty when experts use linguistic labels to evaluate the dependencies between human failure events. In this context, this paper aims to develop a new method based on linguistic hesitant fuzzy sets and the technique for human error rate prediction (THERP) technique to manage the dependence in HRA. This method handles the linguistic assessments given by experts according to the linguistic hesitant fuzzy sets, determines the weights of influential factors by an extended best-worst method, and confirms the degree of dependence between successive actions based on the THERP method. Finally, the effectiveness and practicality of the presented linguistic hesitant fuzzy THERP method are demonstrated through an empirical healthcare dependence analysis.

• International Journal of Contents
• /
• 제6권2호
• /
• pp.33-40
• /
• 2010

This study aims at investigating the linguistic and educational factors affecting TOEFL scores, focusing on three OECD countries, Korea, Japan, and Finland. The data comprise document analysis on curriculums, websites, and literature. The findings reveal that the number of Korean test-takers and their TOEFL scores gradually increased year by year. Finnish test-takers consistently gained greatly high scores, and Japanese examinees showed the lowest scores. The languages Korean, Japanese, and Finnish are all far distant from English and receive little support on historical grounds from the Indo-European family tree. In Finland, however, Swedish which belongs to Indo-European languages is still used as an official language with Finnish. Korea and Finland adopt English education from Year 3 in primary school, whereas English is not an official subject in primary school at present in Japan. Finnish students are taught a foreign language in addition to English from primary school. These seem to support the result of the high TOEFL scores of Finnish test-takers. This study concludes that social context which includes linguistic and educational environments are the main factors which affect TOEFL scores.

• Journal of Information Processing Systems
• /
• 제16권6호
• /
• pp.1250-1260
• /
• 2020

This study proposes a novel deep neural network model that can accurately detect objects and their relationships in an image and represent them as a scene graph. The proposed model utilizes several multimodal features, including linguistic features and visual context features, to accurately detect objects and relationships. In addition, in the proposed model, context features are embedded using graph neural networks to depict the dependencies between two related objects in the context feature vector. This study demonstrates the effectiveness of the proposed model through comparative experiments using the Visual Genome benchmark dataset.

• 한국지능시스템학회:학술대회논문집
• /
• 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
• /
• pp.1187-1190
• /
• 1993

The problem of the optimization of fuzzy relational models for dealing with (non-fuzzy) numerical data is investigated. In this context, interfaces optimization assumes particular importance, becoming a determinant factor in what concerns the overall model performance. Considering this, several scenarios for building fuzzy relational models are presented. These are: (i) optimizing I/O interfaces in advance (independently from the linguistic part of the model); (ii) optimizing I/O interfaces in advance and allowing that their optimized parameters may change during the learning of the linguistic part of the model; (iii) build simultaneously both interfaces and the linguistic subsystem; and (iv) build simultaneously both linguistic subsystem and interfaces, now subject to semantic integrity constraints. As linguistic subsystems, both a basic type and an extended versions of fuzzy relation equations are exploited in each one of these scenarios. A comparative analysis of the differ nt approaches is summarized.

• International Journal of Advanced Culture Technology
• /
• 제12권2호
• /
• pp.98-103
• /
• 2024

This paper revisits politeness expressions in English, exploring their linguistic characteristics and the underlying social dynamics they reflect. Grounded in pragmatic theories, politeness is examined as a phenomenon shaped by societal norms, wherein language users navigate the delicate balance between efficiency and maintaining positive social interactions. Through an analysis of various linguistic devices such as modal auxiliary verbs, progressive and past tenses, depersonalization, and the use of hedges, the study elucidates how speakers endeavor to mitigate potential burdens on listeners and foster smoother communication. By understanding and employing these linguistic strategies, English learners can better navigate the nuances of politeness expressions in the English cultural context. This exploration underscores the pivotal role of politeness in interpersonal communication and highlights its significance in facilitating effective interaction among language users.

• International Journal of Computer Science & Network Security
• /
• 제23권6호
• /
• pp.162-168
• /
• 2023

This article presents an examination of the major cognitive-semantic theories in linguistics (Langacker, Lakoff, Fillmore, Croft). The CST's foundations are discussed concerning the educational policy changes, which are necessary to improve the linguistic disciplines in the changing context of higher education, as well as the empowerment and development of the industry. It is relevant in the light of the linguistic specialists' quality training and the development of effective methods of language learning. Consideration of the theories content, tools, and methods of language teaching, which are an important component of quality teaching and the formation of a set of knowledge and skills of students of linguistic specialties, remains crucial. This study aims to establish the main theoretical positions and directions of cognitive-semantic theory in linguistics, determine the usefulness of teaching the basics of cognitive linguistics, the feasibility of using methods of cognitive-semantic nature in the learning process. During the research, the methods of linguistic description and observation, analysis, and synthesis were applied. The result of the study is to establish the need to study basic linguistic theories, as well as general theoretical precepts of cognitive linguistics, which remains one of the effective directions in the postmodern mainstream. It also clarifies the place of the main cognitive-semantic theories in the teaching linguistics' practice of the XXI century.