Earticle

그동안은 규모가 큰 기업 위주의 분석과 과거 경영실적과 특허권의 관계위주의 분석을 했으나, 본 연구에서는 실증분석을 통해 중소기업을 대상으로 특허를 보유한 기업의 미래 매출액 변동성에 대해 살펴보았다. 본 연구에서는 지식재산권인 특허권의 양적가치와 질적가치가 기업경영성과에 미치는 영향을 분석하였다. 특허의 양적가치로는 특허 의 수를, 질적가치는 특허평균점수를 기업경영성과로는 평균매출액증가율을 사용하였다. SPSS를 이용한 판별분석을 통해 2가지 독립변수 모두 평균매출액 증가율이 2배 이상인 기업과 2배 미만인 기업을 구분하는데 유의적인 변수임을 확인하였다. 따라서 특허권 보유 중소기업에 대해 보증심사나 여신심사시 본 연구결과를 이용하여 향후 매출액이 어떻 게 변경될지에 대한 분석의 틀을 이해관계자에게 제공한다는데 의의가 있다.

In previous research, large companies were analyzed to focus on their past management performance and patent rights, but in this study we looked at the variability in future sales of small and medium-sized enterprises with patents through empirical analysis. We looked at how the quantitative and qualitative value of patent rights affect management performance of company. We used ‘the number of patents’ as the quantitative value of patents, ‘the average score of patents’ as the qualitative value of patents, and the average sales growth rate as the management performance of company. Through a discriminant analysis using the statistical program SPSS, both independent variables used in this study were significant for distinguishing between companies with an average growth in sales more than twice that of general small and medium-sized enterprises and those with less than twice the average sales growth rate. Therefore it is meaningful to provide stakeholders with an analysis framework on how sales will change in the future using the results of this study during guarantee or loan screening for small and medium-sized enterprises with patent rights.

Purpose: The purpose of this study was to evaluate the relation between PBS scores and GMFCS levels and to examine whether pediatric balance scale (PBS) scores were useful for predicting gross motor functional classification system (GMFCS) levels in children with cerebral palsy. Methods: This cross-sectional study was performed conducted for to evaluatione of PBS and GMFCS using in 26 children with cerebral palsy (16 males and 10 females with GMFCS level I to III). PBS total and item scores at different levels of GMFCS were measured. Results: The hHigh PBS item average scores obtained from standing and postural change dimensions except sitting dimension were observed at the low levels of GMFCS and these results were statistically significant (p<0.05). The relation between PBS (standing and postural change dimensions) and GMFCS levels were was significantly different, except the relation between PBS sitting dimension and GMFCS levels showing a ceiling effect. Conclusion: GMFCS is designed to for classificationy of gross motor functions emphasizing on walking movement and PBS is was developed to for evaluatione of functional balance. Based on the results of this study showing high relation between GMFCS levels and PBS scores, PBS scores can be used for predicting GMFCS levels.

Foraging is a biological process, where a bacterium moves to search for nutriments, and avoids harmful substances. This paper proposes a hybrid approach integrating the bacterial foraging optimization algorithm (BFOA) in a radial basis function neural network, applied to image classification, in order to improve the classification rate and the objective function value. At the beginning, the proposed approach is presented and described. Then its performance is studied with an accent on the variation of the number of bacteria in the population, the number of reproduction steps, the number of elimination-dispersal steps and the number of chemotactic steps of bacteria. By using various values of BFOA parameters, and after different tests, it is found that the proposed hybrid approach is very robust and efficient for several-image classification.

Main purpose of this article is to classify reservoirs corresponding to their physical characteristics, for example, dam height, dam width, age, repair-works history. First of all, data set of 13,976 reservoirs was analyzed using k means and self organized maps. As a result of these analysis, lots of reservoirs have been classified into four clusters. Factors and their critical values to classify the reservoirs into four groups have been founded by generating a decision tree. The path rules to each group seem reasonable since their survivor function showed unique pattern.

Purpose: This study was to identify international classification of functioning, disability and health (ICF) categories that could be linked conceptually to disability of arm, shoulder and hand (DASH) items and short form of health survey 36 (SF-36) items for persons with shoulder pain. Methods: Linkage between each item in DASH and SF-36 and the categories in the ICF were assessed. The linking process was performed by ten health professionals following the linking rule. One hundred four patients with shoulder pain were enrolled from 12 private clinic outpatient departments and participated in this study. Pearson correlation coefficients were used to assess the relationships between each scale item and the linked ICF code. Results: Thirty DASH items were able to be linked to 30 ICF codes, whereas the 36 items in SF-36 were only linked to 17 ICF codes. General health items included in SF-36 could not be linked to a relevant ICF concept. There was a high correlation between the two measurement tools and the linked ICF codes, DASH and its ICF code list (r =0.91), SF-36-Physical Health and its code list (r =-0.62), and SF-36-Mental Health and its code list (r =-0.72). Conclusion: The results suggest that concepts within each item in DASH can be linked to ICF codes for patients with shoulder pain, however, the concepts in the SF-36 items had limited linkage to ICF codes. The shoulder-specific functional tool, DASH can be expressed with ICF codes and, therefore, its use can promote data standardization and improve communication between professionals.

This study was executed as correlation study to investigate the correla-tion between the dimensions of diaphragm movement, and respiratory functions and pressures in accordance with the Gross Motor Function Classification System (GMFCS) levels on children with cerebral palsy as the participants. Forty-three children in the age range of 5–13 years di-agnosed with cerebral palsy as the research participants were divided into three groups (levels I, II, and III) through systematic stratified ran-dom sampling in accordance with their GMFCS levels. Pearson correla-tion analysis was executed to examine the correlation between dimen-sions of diaphragm movement, and respiratory functions and pressures in accordance with the GMFCS levels of the participants. There was no significant correlation between the dimensions of diaphragm move-ment, and respiratory functions and pressures in all of the three groups in accordance with the GMFCS levels of the participants. Therefore, it is deemed that although measurement of the dimensions of diaphragm movement of children with cerebral palsy by using diagnostic ultrason-ic M-mode imaging device can be considered as auxiliary tool in pre-dicting the breathing capabilities, it cannot be used as independent measurement equipment.

This study investigated the relationship between function classification systems and the Pediatric Evaluation of Disability Inventory (PEDI) functional skills in children with cerebral palsy (CP). Two hundred and eleven children with CP participated in this study. The Korean-Gross Motor Function Classification System (K-GMFCS), Korean-Manual Ability Classification System (K-MACS), Korean-Communication Function Classification System (K-CFCS), and self-care, mobility, and social function domains of the Korean-Pediatric Evaluation of Disability Inventory (K-PEDI) functional skills were measured by physical therapists or occupational therapists. All of the function classification systems were significantly correlated with PEDI functional skills ($r_s$=-.549 to -.826) (p<.05). Especially, K-GMFCS, K-MACS, and K-CFCS were correlated significantly with mobility, self-care, and social function, respectively. Using stepwise multiple regression analysis, we established that K-GMFCS, K-MACS, and K-CFCS were predictors of self-care skills (74.3%) and mobility skills (79.5%) of the K-PEDI (p<.05). In addition, K-CFCS and K-MACS were predictors of social function (65.9%) of the K-PEDI (p<.05). The information gathered in this study using the levels measured in the function classification systems may be useful to clinicians for estimating the PEDI functional skills in children with CP.

Purpose: Lack of a valid prognosis of gross motor development in children with cerebral palsy (CP) and the absence of longitudinal data on which to base an opinion in Korea have made it difficult to plan treatment and counsel prognosis issues accurately. The purposes of this study were to examine whether the Gross Motor Function Classification System (GMFCS) is valuable to prognostication about gross motor progress in children with CP in Korea. Methods: Medical records of 61 patients were retrospectively reviewed that visited outpatient department and were diagnosed as CP. Various information was surveyed including CP type, visual acuity, cognitive function, motor acquisition age, ambulatory status, development curves of Gross Motor Function Measure (GMFM) according to each of the 5 level of GMFCS. All of them were compared with other studies. Also the gross motor development curves and the maximum GMFM score derived from this study were compared with the Palisano's report and the Rosenbaum's report. Results: Based on a total of 494 GMFM assessments provided by this study, the 5 distinct motor development curves and the maximum GMFM score were created. These observations is corresponding with the Palisano's and the Rosenbaum`s Development curves. Conclusion: The 5 distinct motor development curves (GMFCS) that were created by Palisano's and Rosenbaum's study is useful in Korea, providing parents and clinicians with a means to plan interventions and to judge progress over time.

표준 기록관리시스템(이하 RMS)이 2007년 중앙행정기관의 도입을 시작으로 현재 지방자치단체, 그 밖의 공공기관에도 도입되어 사용되고 있다. RMS는 전자기록환경에서 기록을 관리하기 위한 필수도구이나, 실제 RMS의 기능들이 표준이나 실무를 잘 반영하고 있는지, 얼마만큼 업무에 활용되고 있는지는 잘 알려져 있지 않다. 본 연구는 이러한 문제의식에서 출발하여, 기록관리시스템에 구현된 기능 중 ‘기준관리’에 대한 평가와 그 의미를 분석하고자 하였다. ‘기준관리’는 RMS상 기록관리기준표·기준정보관리·분류체계지정·재분류로 구성되어 있는데, 이것은 기록관리기준표 관리와 관련된, 다시 말해 기록의 분류와 처분일정의 영역이다. 분류와 처분일정은 기록에 대한 지적 통제의 중심이자 기록관리의 핵심영역이므로, 이것이 시스템에서 그 역할을 제대로 하고 있는지 분석하는 것은 중요한 일이다. 본 연구에서는 RMS의 기준관리에 대하여 기능 평가와 이용 평가를 함께 실시하였다. 기능 평가는 국내외 표준에서 제시하는 기능요건을 RMS가 얼마나 구현하고 있는지를 비교분석한 것이다. 그리고 이용 평가는 그러한 기능들을 얼마만큼 실제로 사용하고 있는지, 문제점은 무엇인지 진단한 것이다. 중앙행정기관과 광역 및 기초 지자체를 대상으로 실시한 이러한 평가를 통해 얻은 시사점들을 제도적, 기능·이용적, 행정적 측면으로 구분하여 정리하였다. RMS 기준관리 기능이, 더 나아가 RMS 시스템 전체가 기록관리 실무에서 원활하게 사용되기 위해 중요한 것은 사용자를 비롯한 이해당사자들의 소통임이 연구과정에서 드러났다. 사용자들은 RMS를 이용하면서 발생하는 요구사항을 지속적으로 제기하여야 하며, 중앙기록물관리기관은 그들의 요구사항을 분석·파악하고 이를 시스템에 반영하여, 시스템을 고도화 시키고 개선하는데 많은 노력을 하여야 한다.

Since central governments began to establish and use the Standard Records Management System(RMS) in 2007, more and more local governments and other public organizations have constructed RMS. RMS is the essential tool for records management in electronic environments, but it is not known how well the functions of RMS reflect standards and practice related records management or how many records managers use RMS in performing their works. This paper deals with analyzing the evaluation of ‘classification & disposal schedule management’ function in RMS. ‘Classification & disposal schedule management’ function has 4 subfunctions of review of classification & preservation period, management of the schedule items, assignment of classification scheme and reclassification. Classification and disposal schedule is at the heart of intellectual control of records and core area of records management. So it is important to analyze whether this function plays well a role in RMS or not. This research carried out evaluation of function and use about classification & disposal schedule management in RMS. Functional evaluation is to compare and analyze how well RMS meets the functional requirements which home and foreign standards give. Use evaluation is to investigate how records managers use RMS in accomplishing their task of managing classification & disposal schedule and to look into what is the problem with the use. This paper could get the implications through the survey of records managers who are working at central governments, regional local governments and basic local governments. And these implications are considered in institutional, functional, use and administrative aspect. It is important to communicate with stakeholders so that ‘classification & disposal schedule management’ function, further, all functions of the RMS in practice of records management could be used smoothly. Users of RMS have to raise demands or call for technical solutions of the problems which come up in use, while RMS developers and administrators must make more of an effort to satisfy their demands, reflect them on the RMS and enhance the system.

Objective: To evaluate the clinical usefulness of ICF (International Classification of Functioning, Disability and Health) through correlation among existing functional evaluation tools and examined environmental factors affecting its function. Method: One hundred eight persons with disabilities living in Seoul were randomly selected according to disability severity categories. Functional Independence Measure (FIM), modified Barthel index (MBI) and ICF were examined and subjects were interviewed by trained rehabilitation doctors and occupational therapists. We compared correlation between these three functional measurements. We coded environmental factors affecting function. That was used in second level of 74 ICF items. Results: The average of FIM, modified Barthel index, capacity and performance scores of ICF was 112.76, 92.97, 5.74 and 3.19. There was a statistical correlation among FIM, Barthel index, and ICF. The facilitator chapters among ICF's environmental factors were support and relationships (51.9%), attitudes (45.8%) in order. Most facilitated second level domains among the 68 items were immediate family (66.77%) and health professionals (52.8%). The most barrier chapters in ICF were product and a technology (19.5%), environment changes (15.5%) in order. Most barrier second level domains were design, construction and technology of buildings for public use (37%) and assets (37.0%). Conclusion: ICF correlates with the existing functional evaluation tool and can facilitate management of activity and participation by linking the result with the environmental factors, which may exacerbate or minimize them.

본 연구는 가스 안전 작업 관리 모바일 앱의 개발을 위하여 다음과 같은 사항을 연구하였다. 기 연구된 초기 연구에 의해 모바일 앱의 시나리오 설계 및 1, 2차 이미지 도출이 완료된 후 후속 연구로 이루어 진 본 연구에 서는 1) 가스 작업의 유형별 분류를 형태별 분류와 위험도 별 분류로 나누어 제안 2) 투핸드 작업의 많은 산업현장 에서 모바일 앱과 작업자의 효과적인 연동을 위한 인터랙션 방안의 연구 및 제안이 이루어졌다. 특히 가스 작업 뿐 아니라 각 산업현장 영역에서 이를 관리하는 메인 시스템과 상호작용하는 모바일 앱의 개발은 국내 최초의 시도 라 할 수 있으며, 다양한 인터랙션 방안을 통해 작업자가 자유롭고 안전하게 작업할 수 있도록 도왔다.

In this paper, we investigated the following items for the development of gas safety work mobile app. In this study, which is a follow-up study after the completion of the scenario design and the first, second image extraction of the mobile app based on the initial research that has been studied, 1) Suggested classification of gas works by type classification and risk classification 2) The research and proposal of interaction method for effective interworking of mobile app and worker in many industrial fields of two-hand work have been made. In particular, the development of a mobile app that interacts with the main system that manages not only the gas work but also the field of each industrial field is the first attempt in Korea and has helped the worker to work freely and safely through various interaction methods.

본 연구는 한국 표준직업분류에 따른 근로자의 구강기능문제를 파악하고 근로자들이 집단구강건강관리사업의 혜택을 받을 수 있도록 산업안전보건법의 개정을 촉구하기 위한 근거자료로 제공하고자 시행하였다. 국민건강영양조사 제7기 원시자료(1차,2차)를 이용하여 만 19세 이상 한국 표준직업분류에 따른 근로자를 대상으로 씹기문제와 말하기문 제를 조사한 결과 한국 표준직업분류에 따른 근로자의 유형과 씹기문제, 말하기문제의 연관성이 확인되었다(p<0.05). 이에 근로자의 구강건강을 향상시키기 위해서는 집단구강건강관리사업이 실행되어야 하며 집단구강건강관리사업의 주 최가 될 전문성을 갖춘 전문보건의료관리자를 채용할 수 있도록 산업안전보건법이 개정되어야 할 것이다.

This study was conducted to identify the oral function problems of workers according to Korean Standard Classification of Occupations (KSCO) and to provide evidentiary material to promote them to revise the Occupational Safety and Health Act so that workers can benefit from the collective oral healthcare project. For the research materials, it was used the 7th raw data (1st and 2nd) of National Health and Nutrition Examination Survey. It was examined the problems of chewing and speaking for the workers over 19 years old by KSCO. The connection between the types of workers and the problems of chewing and speaking has been confirmed (p<0.05). In order to improve the workers’ oral healthcare, the collective oral healthcare project should be implemented. Therefore, the Occupational Safety and Health Act should be revised to hire professional health care manager with expertise, who will be host of the collective oral healthcare project.

4차 산업혁명을 대표하는 신기술들이 이미 도서관 서비스에 구현이 되고 있다. 그러나 전통적인 사서 업무이자 향후 지속해야 하는 '분류' 업무에 새로운 기술을 도입하여 업무 효율을 증대하고자 하는 방안 연구는 활발하지 않다. 해외 웹 버전 분류법인 WebDewey, Classification Web, UDC Online은 2000년대 초반에 개발되어 현재는 인쇄본보다 웹 버전이 더 활발히 사용되고 있고, 2018년 이후 듀이십진 분류법(DDC)은 더 이상 인쇄본을 발간하지 않고 있다. 본 연구는 WebDewey, Classification Web, UDC Online 사례를 분석하고, 한국십진분류법(KDC) 웹 버전 개발을 위해 필요한 기능을 도출하여, AHP 분석을 통해 KDC 웹 버전 개발에 타당한 최종적인 기능을 제안했다.

New technologies representing the Fourth Industrial Revolution are already being realized in library services. There is not, however, active research on measures to increase work efficiency by introducing a new technology in the work of "classification" that is part of the traditional librarian jobs they should continue in the future. The Dewey Decimal Classification (DDC) has not issued a print version since 2018. This study analyzes cases of WebDewey, Classification Web, and UDC Online. The functions required for the development of the Korean Decimal Classification (KDC) web version were derived, and the final functions suitable for the development of the KDC web version were proposed through AHP analysis.

현실 세계에서는 기존에 알려지지 않은 새로운 유형의 변종 공격이 끊임없이 등장하고 있지만, 인공신경망과 지도학 습을 통해 개발된 공격 트래픽 분류모델은 학습을 실시하지 않은 새로운 유형의 공격을 제대로 탐지하지 못한다. 기존 연구들 대부분은 이러한 문제점을 간과하고 인공신경망의 구조 개선에만 집중한 결과, 다수의 새로운 공격을 정상 트래 픽으로 분류하는 현상이 빈번하게 발생하여 공격 트래픽 분류성능이 심각하게 저하되었다. 한편, 다중분류 문제에서 각 클래스에 대한 분류가 정답일 확률을 결과값으로 출력하는 소프트맥스(softmax) 함수도 학습하지 않은 새로운 유형의 공격 트래픽에 대해서는 소프트맥스 점수를 제대로 산출하지 못하여 분류성능의 신뢰도 또는 정확도를 제고하는데 한계 를 노출하고 있다 . 이에 본 논문에서는 소프트맥스 함수의 이러한 특성을 활용하여 모델이 일정 수준 이하의 확률로 판단한 트래픽을 공격으로 분류함으로써 새로운 유형의 공격에 대한 탐지성능을 향상시키는 방안을 제안하고, 실험을 통해 효율성을 입증한다.

In the real world, new types of attacks or variants are constantly emerging, but attack traffic classification models developed through artificial neural networks and supervised learning do not properly detect new types of attacks that have not been trained. Most of the previous studies overlooked this problem and focused only on improving the structure of their artificial neural networks. As a result, a number of new attacks were frequently classified as normal traffic, and attack traffic classification performance was severly degraded. On the other hand, the softmax function, which outputs the probability that each class is correctly classified in the multi-class classification as a result, also has a significant impact on the classification performance because it fails to calculate the softmax score properly for a new type of attack traffic that has not been trained. In this paper, based on this characteristic of softmax function, we propose an efficient method to improve the classification performance against new types of attacks by classifying traffic with a probability below a certain level as attacks, and demonstrate the efficiency of our approach through experiments.

연구목적: 본 연구의 목적은 한국 발달장애학생의 직업능력을 평가함에 있어 Grooved Pegboard Test(GPT)의 타당도를 검증하고 직업수준 분류에 대한 영향력 분석을 통해 한국 직업능력평가 현장에서 GPT의 실질적인 활용 적절성을 검토하는 것이다. 연구방법: GPT의 타당도 검증 및 직업수준 분류에 대한 영향력 분석을 위하여 연구를 두 부분으로 나누어 진행하였다. 연구 1에서는 발달장애학생 82명을 대상으로 KEAD 손기능 작업표본검사와의 상관분석, ROC 곡선분석 비교를 통해 공인타당도를 산출하였다. 연구 2에서는 GPT가 발달장애학생의 직업수준을 반영하는지 알아보기 위해 발달장애학생 66명을 대상으로 체질량지수(BMI), 악력계, VMI, GPT, 고용서비스 다양성 검사의 하위척도(신체능력, 인지능력, 고용준비태도) 검사 결과를 활용하여 상관분석 및 다중회귀분석을 실시하였다. 연구결과: 연구 1에서 GPT는 KEAD 손기능작업표본검사와의 상관은 우세손, 비우세손 모두 적절한 상관관계에 있고, AUC 통계량을 살펴본 결과 ROC 곡선이 적합함을 보여 공인타당도를 충족하였다. 연구 2에서 발달장애학생의 직업수준과 유의미한 상관관계를 보이는 검사는 인지능력, 비우세손 GPT, 우세손 GPT, 고용준비태도, 신체능력, VMI 순으로 나타났다. 다중회귀분석 결과에서 직업수준에 영향을 미치는 주요 변인은 인지능력, 신체능력, 우세손 GPT이었고, 이들 변인은 발달장애학생의 직업수행 수준 분산의 54%를 설명하였다. 결론 또는 시사점: 본 연구는 발달장애학생의 직업능력평가 및 진로설계컨설팅에 있어 GPT가 타당성과 실용적 유용성을 갖추고 있음을 검증하였다. 추가적으로 본 연구의 시사점과 후속연구를 위한 제언을 제시하였다.

Purpose: This study aimed to verify the validity of the Grooved Pegboard Test(GPT) in evaluating the vocational abilities of students with developmental disabilities and to examine its practical applicability in Korean vocational evaluation settings. Method: To verify the validity of GPT, the study was conducted in two parts. In Study 1, the concurrent validity was calculated through correlation analysis and ROC curve analysis with the KEAD hand function work sample test for 82 students with disabilities. In Study 2, to determine the GPT’s ability to reflect vocational performance levels of students with disabilities, correlation and multiple regression analyses were conducted on 66 students with developmental disabilities using the result of BMI, grip dynamometer, VMI, GPT, and subscales of the Employment Service Diversity Assessment (physical ability, cognitive ability, and employment readiness attitudes). Results: In Study 1, the GPT showed appropriate correlations with the KEAD Hand Function Work Sample Test for both dominant and non?dominant hands, and Examination of the AUC statistics revealed that the ROC curve was appropriate, meeting the criteria for public validity. In Study 2, the tests that showed significant correlations with the occupational performance of students with developmental disabilities were cognitive ability, non-dominant hand GPT, dominant hand GPT, employment readiness attitude, physical ability, and VMI, in that order. In addition, the results of multiple regression analysis indicated that the major variables influencing occupational performance were cognitive ability, physical ability, and dominant hand GPT, and theses variables collectively explained 54% of variance in the vocational performance levels of students with developmental disabilities. Conclusion: This study verified the validity and practical utility of the GPT for vocational evaluation and career planning consulting for students with developmental disabilities. Additionally, the implications of these findings and suggestions for future research were presented.

Stroke patients often experience reduced respiratory muscle function, which leads to decreased cardiopulmonary capacity and negatively affects gait and trunk stability. This single- subject study aimed to examine the effects of respiratory muscle strengthening exercises using proprioceptive neuromuscular facilitation (PNF) on respiratory function, trunk stability, gait speed, and endurance in a patient with right-sided hemiplegia. Based on the international classification of functioning, disability and health (ICF), a PNF-based respiratory muscle strengthening program was implemented three times per week for four weeks, with each session lasting 50 minutes. Respiratory function was assessed using forced vital capacity (FVC), maximum inspiratory pressure (MIP), and maximum expiratory pressure (MEP). Gait function was evaluated using the 10 meter walking test (10MWT) and 6-minute walking test (6MWT), and trunk function was measured using the trunk impairment scale (TIS) and a pressure biofeedback device. After the intervention, respiratory function, gait performance, and trunk stability improved, suggesting that PNF-based respiratory muscle strengthening may enhance recovery in individuals with stroke.

The face recognition task involves extraction of unique features from the human face. Manifold learning methods are proposed to project the original data into a lower dimensional feature space by preserving the local neighborhood structure. PCA and LDA are used for the feature extraction and the resultant feature vectors are fused with the different fusion techniques and the proposed method yields good recognition rate with PCA Fusion of PCA and LDA features and those are classified with neural network. In general the size of the face database is too high and it needs more memory and needs more time for training so that to improve time and space complexities there is a need for dimensionality reduction. The extracted features are classified with Neural Network to improve the recognition rate.

At present, information retrieval systems are simply expressed with a combination of keyword search according to the direct keyword matching method to get the information that users need. Because of this, documents retrieval systems serve too many documents due to term ambiguity. This makes the user need extra time and effort to get closer the document. To overcome these problems, this paper proposes the information retrieval system based on the content that connects documents according to the degree of semantic link that expresses a fuzzy value by fuzzy function. This paper also proposes an algorithm that produces a hierarchical structure using the degree of concept and content among documents. As a result, we are able to select and to provide user-interested documents.