• International Journal of Fuzzy Logic and Intelligent Systems
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• v.11 no.3
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• pp.171-177
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• 2011

The decision making process is based on accurate and timely available information. To obtain precise information from the internet is becoming more difficult due to the continuous increase in vagueness and uncertainty from online information resources. This also poses a problem for blind people who desire the full use from online resources available to other users for decision making in their daily life. Ontology is considered as one of the emerging technology of knowledge representation and information sharing today. Fuzzy logic is a very popular technique of artificial intelligence which deals with imprecision and uncertainty. The classical ontology can deal ideally with crisp data but cannot give sufficient support to handle the imprecise data or information. In this paper, we incorporate fuzzy logic with heavyweight ontology to solve the imprecise information extraction problem from heterogeneous misty sources. Fuzzy ontology consists of fuzzy rules, fuzzy classes and their properties with axioms. We use Fuzzy OWL plug-in of Protege to model the fuzzy ontology. A prototype is developed which is based on OWL-2 (Web Ontology Language-2), PAL (Protege Axiom Language), and fuzzy logic in order to examine the effectiveness of the proposed system.

• Journal of Korean Library and Information Science Society
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• v.49 no.3
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• pp.1-32
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• 2018

The purpose of this article is to figure out the structural problems which have threaten both scholarship and profession of Library and Information Science in South Korea. In details, this study discusses such major weakness in Korean LIS as vague academic identity, poor research activities, and unreasonable educational systems. The emphasis for discussion is on identifying the unique and indigenous variables which have had deep influences on both development process and current crisis of Korean LIS. Finally suggested are the strategies and methods for promoting the good health of Korean Library and Information Science as an independent academic discipline as well as a prospective profession.

• Journal of the Korea Safety Management & Science
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• v.14 no.3
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• pp.119-126
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• 2012

Recently, the breakdown of online banking servers and the leakage of customer information give rise to much concern about the security of information systems in financial and banking companies in Korea. The enforcement of security for information system becomes much more important issue than earlier. However, the security reinforcement of information system is restricted by a budget. In addition, the activities' cost to secure information system from threatening are under uncertain circumstances and should be established by a human decision maker who is basically uncertain and vague. Thus, making the budget for information system is exposed to any extent of the risk for these reasons. First, we introduce brief fuzzy set theory and fuzzy AHP (Analytic Hierarchy Process) methodology. Then, the cost elements that comprise yearly budget are presented and the priorities among the cost elements are calculated by fuzzy AHP. The cost elements that are exposed to risk are evaluated from the both perspectives of the risk impact and risk occurrence possibility which are expressed as linguistic terms. To get information on the risk profiles-pessimistic, most likely, and optimistic-for each cost element, the evaluation is accomplished and the result is presented. At last, the budget ranges-minimum, mode, maximum-for each cost element are estimated with the consideration of the risk profiles.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.4 no.1
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• pp.18-22
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• 2004

It is difficult to understand a person's emotion, since it is subjective and vague. Therefore, we are proposing a method by which will effectively classify human emotions into two types (that is, single emotion and composition emotion). To verify validity of te proposed method, we conducted two experiments based on general inference and $\alpha$-cut, and compared the experimental results. In the first experiment emotions were classified according to fuzzy inference. On the other hand in the second experiment emotions were classified according to $\alpha$-cut. Our experimental results showed that the classification of emotion based on a- cut was more definite that that based on fuzzy inference.

• Korean Institute of Interior Design Journal
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• v.13 no.3
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• pp.76-83
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• 2004

Nowadays, our societies use digital technology in new architectural shape and space design to transcend three dimension limit so the boundary of the imagination world and actuality world has been collapsed. Traditional spatial value has been collapsed. Also indetermination and temporary assumption in time, fluidness and dematerialized, simultaneity and reiteration in image are relative with this circumstances. In architectural shape, media characteristics which secede from traditional characteristics of place tectonic value have occurred. Therefore, indifference and interests in shape, inter-permeation in interior and exterior space, homogeneous equivalence spatial extension have occurred. The purpose in this study examines dematerialized in contemporary space design and light materials and also investigates general and architectural background. The results of this study are as follows. First, circumstances of human have changed from physically limited boundary to unfixed, nonphysical, lightness and vague things. Second, casting off volume in shape and also dissembling exclusive and constructive Third, interior and exterior space by transparency intimates media possibility of information screen. Fourth, seek information and organic response, ambivalent transformation, accumulation of image and new mutual understanding system.

• Magazine of the Korean Society of Agricultural Engineers
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• v.45 no.6
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• pp.183-193
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• 2003

Most construction works on the soft ground adopt instrumentation to manage settlement and stability of the embankment. The rapid progress of the information technologies and the digital data acquisition on the soft ground instrumentation has led to the fast-growing amount of data. Although valuable information about the behaviour of the soft ground may be hiding behind the data, most of the data are used restrictedly only for the management of settlement and stability. One of the critical issues on soft ground instrumentation is the long-term settlement prediction. Some observational settlement analysis methods are used for this purpose. But the reliability of the analysis results is remained in vague. The knowledge could be discovered from a large volume of experiences on the observational settlement analysis. In this article, we present a database to store settlement records and data mining procedure. A large volume of knowledge about observational settlement prediction were collected from the database by applying the filtering algorithm and knowledge discovery algorithm. Statistical analysis revealed that the reliability of observational settlement analysis depends on stay duration and estimated degree of consolidation.

• 한국데이터정보과학회:학술대회논문집
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• 2004.04a
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• pp.91-101
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• 2004

The turbulent flow is of fundamental interest because the conservation equations for thermodynamics, mass and momentum are linked together. This turbulent flow consists of some coherent time- and space-organized vortical structures. Research has already shown that some dynamic systems and experimental models still cannot provide a good nonlinear analysis of turbulent time series. In the real turbulent flow, very complicated nonlinear behaviors, which are affected by many vague factors are present. In this paper, a kernel-based machine for fuzzy nonlinear regression analysis is proposed to predict the nonlinear time series of turbulent flows. In order to show the practicality and usefulness of this model, we present an example of predicting the near-wall turbulence time series as a verifiable model and compare with fuzzy piecewise regression. The results of practical applications show that the proposed method is appropriate and appears to be useful in nonlinear analysis and in fuzzy environments to predict the turbulence time series.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.19 no.9
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• pp.1680-1691
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• 1994

We propose an extended hypertext data model based on object oriented paradigm that can easily the real world and semantics. We use the BNF notation to formalize the model. In our model, We introduce conceptional navigation by associating semantics on links and drive intelligent navigation using weights on links to alleviate user disorientation problem which is currently somewhat vague. We functionally classify the hypertext node into three types:Indexing node, Content node, Extract node and likewise classify the link into Alink type, Rlink type, Slink type. We believe that the typed node and typed link approach accommodate efficient query/search in hypertext.

• Language and Information
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• v.11 no.2
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• pp.67-86
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• 2007

The semantic literature on definiteness and specificity shows that the former is relatively an established notion, whereas the latter is still a vague notion that needs to be more clarified and confirmed. Given this, Ionin (2006) argues for the reality of specificity based on the informal use of this. She proposes this in spoken English as a specificity marker which has a semantic feature indicating "peaker intent to refer" and "noteworthiness." She also provides as evidence the results of some crosslinguistics studies including an L2 acquisition study with both L1-Russian and L1-Korean L2-English learners. However, this paper will argue that the informal use of this does not seem to mark specificity according to Ionin's definition of specificity. It will also be argued that the L2 acquisition study cannot be used as evidence for the reality of specificity. Based on these arguments, this paper will try to redefine specificity, based on the notions of existence and uniqueness.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2009.11a
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• pp.205-208
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• 2009

The purpose of this study is to apply the process model of the pre-design stage to CPLM(Construction Project Life-cycle Management). Life-cycle consists of 4 stage; Pre-design, Design, Construction, Maintenance. Each stage has organic relations between front and rear stage. Therefore it is important to manage and use the information data of each stage. But these data are not carried to the next stage smoothly, especially at the pre-design stage. It is even vague to define the process of the pre-design stage. To carry and share the information well, this study defines Pre-design stage process and CPLM at first, VA-Cityplanner which is the development system of the pre-design process model is applied to CPLM for the smooth current of the data between participants.