• 제목/요약/키워드: Vague Information

검색결과 161건 처리시간 0.023초

U-Net-based Recommender Systems for Political Election System using Collaborative Filtering Algorithms

  • Nidhi Asthana;Haewon Byeon
    • Journal of information and communication convergence engineering
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    • 제22권1호
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    • pp.7-13
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    • 2024
  • User preferences and ratings may be anticipated by recommendation systems, which are widely used in social networking, online shopping, healthcare, and even energy efficiency. Constructing trustworthy recommender systems for various applications, requires the analysis and mining of vast quantities of user data, including demographics. This study focuses on holding elections with vague voter and candidate preferences. Collaborative user ratings are used by filtering algorithms to provide suggestions. To avoid information overload, consumers are directed towards items that they are more likely to prefer based on the profile data used by recommender systems. Better interactions between governments, residents, and businesses may result from studies on recommender systems that facilitate the use of e-government services. To broaden people's access to the democratic process, the concept of "e-democracy" applies new media technologies. This study provides a framework for an electronic voting advisory system that uses machine learning.

Incorporation of Fuzzy Theory with Heavyweight Ontology and Its Application on Vague Information Retrieval for Decision Making

  • Bukhari, Ahmad C.;Kim, Yong-Gi
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제11권3호
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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.

한국 문헌정보학은 건강한가? (What is Wrong with Korean Library and Information Science?)

  • 이제환
    • 한국도서관정보학회지
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    • 제49권3호
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    • pp.1-32
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    • 2018
  • 이 글의 목적은 공식적으로 출범한지 60년이 넘은 '한국 문헌정보학'의 건강을 위협하는 구조적인 문제들을 점검하고 필수 학문으로서의 입지를 다지기 위한 해법을 모색하는데 있다. 이 글에서는 특히, 대학의 구조조정이 광범위하게 진행되고 있는 '위기의 국면'에서 문헌정보학의 기본 체질을 강화하기 위해서 학계가 역량을 집중해야 하는 주요 문제들에 대해 중점적으로 논의하고 있다. 구체적으로, '학문의 정체성', '연구의 유용성', '교육의 실효성'의 측면에서 한국 문헌정보학에 내재하는 문제들을 구체화하면서 그러한 문제들을 만성적 질환으로 만들어온 요인을 밝혀내고 있다. 그 과정에서 논의의 초점을 한국 문헌정보학이 처해있는 고유하고 토착적인 환경을 분석하는데 두고 있으며, 문제의 해결을 위한 처방의 모색에 있어서도 한국의 실정에 적합한 실사구시적인 방안을 제시하고 있다.

정보보안 예산 수립에서 퍼지 AHP의 적용을 통한 위험 비용 분석 (Cost Risk Analysis for Preparing Budgets of Information Security using Fuzzy AHP)

  • 류시욱;허덕규
    • 대한안전경영과학회지
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    • 제14권3호
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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.

An Emotion Classification Based on Fuzzy Inference and Color Psychology

  • Son, Chang-Sik;Chung, Hwan-Mook
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제4권1호
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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.

현대 실내공간에서의 비물질적 특성에 관한 연구 (A Study on the Immateriality in Contemporary Interior Space)

  • 신홍경;옥창수
    • 한국실내디자인학회논문집
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    • 제13권3호
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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.

데이터마이닝을 이용한 관측적 침하해석의 신뢰성 연구 (A Study on the Reliability of Observational Settlement Analysis Using Data Mining)

  • 우철웅;장병욱
    • 한국농공학회지
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    • 제45권6호
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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.

Kernel-Based Fuzzy Regression Machine For Predicting Turbulent Flows

  • 홍덕헌;황창하
    • 한국데이터정보과학회:학술대회논문집
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    • 한국데이터정보과학회 2004년도 춘계학술대회
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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.

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객체지향 개념을 기반으로한 하이퍼텍스트 데이터 모델 (An Extended Hypertext Data Model based on Object-Oriented Praradigm)

  • 이재무;임해철
    • 한국통신학회논문지
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    • 제19권9호
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    • pp.1680-1691
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    • 1994
  • 본 논문은 기존의 하이퍼텍스트 시스템의 문제점을 모델링 능력 미약 및 방향상실(lost in hyperspace. Disorientation)문제를 최소화 하기 위하여 데이터 모델을 확장하고 이 확장된 모델이 객체지향 데이타베이스 시스템에서 표현되는 방법을 BNF 정의를 사용하여 형식화하였다. 본 제안 모델은 모델링 능력 향상 및 개념적 항해를 위하여 링크에 의미를 부여하고, 노드와 링크를 기능에 따라 여러 타입으로 분류하여 효율적인 항해가 되도록 하였으며, 하이퍼텍스트 시스템에서 가장 문제가 되는 방향상실 문제를 방지하기 위하여 구조를 강화시키는 방법과 지능적인 항해 방법을 제안하였다.

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Indefinites and Specificity Revisited

  • Yoon, Young-Eun
    • 한국언어정보학회지:언어와정보
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    • 제11권2호
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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.

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