• Title/Summary/Keyword: fuzzy numbers

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The Importance of Interface Irregularity between the Tumor and Brain Parenchyma in Differentiating between Typical and Atypical Meningiomas: Correlation with Pathology

  • Lee, Jeongmin;Lee, Yeon Soo;Ahn, Kook-Jin;Lee, Song;Jang, Jinhee;Choi, Hyun Seok;Jung, So-Lyung;Kim, Bum-soo;Jeun, Sinsoo;Hong, Yongkil
    • Investigative Magnetic Resonance Imaging
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    • v.20 no.3
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    • pp.158-166
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    • 2016
  • Purpose: To understand clinical significance of irregular interface between meningioma and adjacent brain parenchyma in predicting histological grading of tumor, focusing on brain parenchymal invasion. Materials and Methods: Pathologically confirmed 79 cases with meningiomas with pathological reports about the presence of parenchymal invasion were included. We defined the presence of interface irregularity as either spiculations or fuzzy margins between the tumor and brain parenchyma. We counted number of spiculations and measured ratio of fuzzy margin length to whole length of mass with consensus of two neuroradiologists. We classified the patients into Present group and Absent group, and the two groups were compared by using the Mann-Whitney U test. Statistical correlations between the presence of an interface irregularity and brain parenchymal invasion by the tumor as well as meningioma histological grade were tested with chi-square test. The optimal cutoff values of spiculation numbers and the ratio of fuzzy margins were determined. The sensitivity and specificity of number of spiculations, ratio of fuzzy margin and the presence of irregular interface as combined parameters for predicting the parenchymal invasion were calculated using ROC curve analysis. Results: Statistically significant differences were noted between the Present and Absent groups for number of spiculations and ratio of fuzzy margin (P = 0.038 and P = 0.028, respectively). The optimal cutoff value for number of spiculations (> 4.5 with 61.1% sensitivity and 68.9% specificity) and the ratio of fuzzy margin (> 0.24 with 66.7% sensitivity and 65.6% specificity) were determined. The sensitivity and specificity of interface irregularity as the combined parameters were 72% and 59%, respectively. The interface irregularity between tumor and brain parenchyma significantly correlated with not only brain parenchymal invasion (P = 0.001) and but also histological grade (P < 0.001). Conclusion: The interface irregularity between tumor and brain parenchyma in MRI can be a strong predictive factor for brain parenchymal invasion and high grade meningioma.

Small Business Research and Development Assessment System based on Fuzzy-AHP (Fuzzy-AHP 기반 중소기업 R&D 평가 시스템)

  • Park, Seong-Ho;Oh, Jae-Taek;Lee, Sang-Yong
    • Journal of Digital Convergence
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    • v.18 no.9
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    • pp.323-329
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    • 2020
  • There is a system of mandating the allocation of support to small business in certain percentage or more to facilitate technological innovation at small business. Trying to assess small business R&D projects, which receive a budget of three trillion won or more from the government every year, for their possibilities of success, a group of experts perform a technological evaluation with their technologies and their difficulty levels and review closely the possibilities of their commercialization and success. Used in such a review, the Analytic Hierarchy Process technique cannot make an objective judgment of evaluation criteria for evaluation items and guarantee the professionalism and fairness of small business R&D projects due to the inherent ambiguity and uncertainty of the evaluation criteria. This study proposed an R&D evaluation system based on Fuzzy-AHP for small business to provide objective weight for the evaluation items and assess the possibilities of such projects' success. The evaluation criteria were make objective as they were applied as section values based on triangular fuzzy numbers. Weight was assigned and applied according to the management guidelines of supportive projects for small business' technological development so that it could be reflected on actual assessment. The findings of the study will be helpful for reflecting the scoring weight of these evaluation items again when an expert is appointed for a new project and guaranteeing the professionalism and fairness of small business R&D project based on them.

Risk Critical Point (RCP): A Quantifying Safety-Based Method Developed to Screen Construction Safety Risks

  • Soltanmohammadi, Mehdi;Saberi, Morteza;Yoon, Jin Hee;Soltanmohammadi, Khatereh;Pazhoheshfar, Peiman
    • Industrial Engineering and Management Systems
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    • v.14 no.3
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    • pp.221-235
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    • 2015
  • Risk assessment is an important phase of risk management. It is the stage in which risk is measured thoroughly to achieve effective management. Some factors such as probability and impact of risk have been used in the literature related to construction projects. Because in high-rise projects safety issues are paramount, this study has tried to develop a quantifying technique that takes into account three factors: probability, impact and Safety Performance Index (SPI) where the SPI is defined as the capability of an appropriate response to reduce or limit the effect of an event after its occurrence with regard to safety pertaining to a project. Regarding risk-related literatures which cover an uncertain subject, the proposed method developed in this research is based on a fuzzy logic approach. This approach entails a questionnaire in which the subjectivity and vagueness of responses is dealt with by using triangular fuzzy numbers instead of linguistic terms. This method returns a Risk Critical Point (RCP) on a zoning chart that places risks under categories: critical, critical-probability, critical-impact, and non-critical. The high-rise project in the execution phase has been taken as a case study to confirm the applicability of the proposed method. The monitoring results showed that the RCP method has the inherent ability to be extended to subsequent applications in the phases of risk response and control.

Estimation of Tension Status for Alcohol Dependent Patients using Biofeedback Training and Fuzzy Theory (피지이론과 바이오피드백을 이용한 주정중독증 환자의 긴장도 평가)

  • 성홍모;시재우;윤영로;윤형로;박진한;신정호
    • Journal of Biomedical Engineering Research
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    • v.20 no.2
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    • pp.191-198
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    • 1999
  • Biofeedback training is one of physiological self control methods for patients who has psychological problem and rehabilitational problem. It has been used to control blood pressure, heart rate, peripheral temperature, respiration, electromyography (ENG), and other biological signals-ENG, respiration, heat rate, peripheral temperature, skin conductance level-was developed in house. We applied this system to alcohol dependent patients to perform biofeedback training. In this experiment, the relaxation biofeedback training for alcohol dependent patient was carried out and the tension state for the change of biological signals were estimated using the fuzzy theory after relaxation biofeenback training. Eight alcohol dependent patients were agreed to participate in this experiment. Result showed that 1) the tension degree of patients were higher than the tension degree of normal subject. 2) The tension degree of patients were decreased as the training numbers were increased.

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A fingerprint Alignment with a 3D Geometric Hashing Table based on the fuzzy Fingerprint Vault (3차원 기하학적 해싱을 이용한 퍼지볼트에서의 지문 정합)

  • Lee, Sung-Ju;Moon, Dae-Sung;Kim, Hak-Jae;Yi, Ok-Yeon;Chung, Yong-Wha
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.18 no.1
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    • pp.11-21
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    • 2008
  • Biometrics-based user authentication has several advantages over traditional password-based systems for standalone authentication applications. This is also true for new authentication architectures known as crypto-biometric systems, where cryptography and biometrics are merged to achieve high security and user convenience at the same time. Recently, a cryptographic construct, called fuzzy vault, has been proposed for crypto-biometric systems. This construct aims to secure critical data(e.g., secret key) with the fingerprint data in a way that only the authorized user can access the secret by providing the valid fingerprint, and some implementations results for fingerprint have been reported. However, the previous results had some limitation of the provided security due to the limited numbers of chaff data fer hiding real fingerprint data. In this paper, we propose an approach to provide both the automatic alignment of fingerprint data and higher security by using a 3D geometric hash table. Based on the experimental results, we confirm that the proposed approach of using the 3D geometric hash table with the idea of the fuzzy vault can perform the fingerprint verification securely even with more chaff data included.

Development of a System for Transmitting a Navigator's Intention for Safe Navigation

  • Hong, Taeho
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.14 no.2
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    • pp.130-135
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    • 2014
  • For the past three decades, ship-to-ship collision accidents have steadily increased on the coast of South Korea by about 20% annually. Marine accidents have become more likely and more devastating in areas with increasing marine traffic and rising numbers of high-speed ships. Over 30% of the marine accidents in South Korea are concentrated in spring, since Korea's coast is often covered in dense fog at this time of the year. Fog is generated when a large temperature range exists within a day, and this daily temperature range has increased due to abnormal weather conditions. This research proposed a system for transmitting a navigator's intention utilizing electronic methods. A navigator's intention was expressed on the electronic navigation chart for easier understanding of the surrounding situation, and the effectiveness of the system was verified through practical tests.

Digital Library System by Advanced Distributed Agent Platform

  • Cho, Young-Im
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.4 no.1
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    • pp.29-33
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    • 2004
  • I propose a personalized digital library system (PDLS) based on an advanced distributed agent platform. The new platform is developed by improving the DECAF (Distributed Environment-Centered Agent Framework) which is one of the conventional distributed agent development toolkits. Also, a mobile ORB (Object Request Broker), Voyager, and a new multi agent negotiation algorithm are adopted to develop the advanced platform. The new platform is for mobile multi agents as well as the distributed environment, whereas the DECAF is for the distributed and non-mobile environment. From the results of the simulation the searched time of PDLS is lower, as the numbers of servers and agents are increased. And the user satisfaction is four times greater than the conventional client-server model. Therefore, the new platform has some optimality and higher performance in the distributed mobile environment.

Empirical Comparison of Measurement Methods for Educational Service Quality

  • Kang, Sung;Choi, Kyung-Ho
    • Journal of the Korean Data and Information Science Society
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    • v.19 no.3
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    • pp.801-809
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    • 2008
  • Nowadays almost all universities are endeavoring to improve the quality of education offered. The quality of education that is provided should be measured beforehand. This study examined three methods, SERVQUAL, SERVPERF and Lee and Yun(2004)'s method of measuring service quality: SERVQUAL, SERVPERF are well known and the most commonly used measurement of the quality of education offered and the Lee and Yun(2004)'s method measures service quality using fuzzy numbers. As a result of this research, SERVQUAL was proven to be the most efficient method to measure the quality of education offered. Even though, more actual analysis related to this study should be followed, the research is meaningful in a way that it provided clues and reasons for the study.

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Dynamic Human Activity Recognition Based on Improved FNN Model

  • Xu, Wenkai;Lee, Eung-Joo
    • Journal of Korea Multimedia Society
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    • v.15 no.4
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    • pp.417-424
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    • 2012
  • In this paper, we propose an automatic system that recognizes dynamic human gestures activity, including Arabic numbers from 0 to 9. We assume the gesture trajectory is almost in a plane that called principal gesture plane, then the Least Squares Method is used to estimate the plane and project the 3-D trajectory model onto the principal. An improved FNN model combined with HMM is proposed for dynamic gesture recognition, which combines ability of HMM model for temporal data modeling with that of fuzzy neural network. The proposed algorithm shows that satisfactory performance and high recognition rate.

A Ranking Method of Fuzzy Numbers based on Users'Preference and its Application to Decision Making (사용자의 선호도를 반영하는 퍼지숫자의 정렬 방법 및 의사결정에의 응용)

  • Lee, Ji-Hyeong;Lee, Gwang-Hyeong
    • Journal of KIISE:Software and Applications
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    • v.26 no.3
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    • pp.441-451
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    • 1999
  • 본 논문에서는 퍼지숫자를 정렬하는 새로운 방법을 제안한다. 제안하는 방법은 사용자의 관심도나 선호도를 반영할 수 있는 방법을 제공하며, 퍼지숫자의 전체적인 가능성분포를 고려하는 평가함수를 방법은 사용자가 제사한 퍼지 집합과 만족도 함수(satisfaction fuction)를 이용하여 정렬 대상이 되는 퍼지숫자를 평가한 후 그 평가값에 따라서 순위를 정하게 된다. 만족도 함수는 두 퍼지숫자의 비교를 위해서 이전에 제안된 방법으로 퍼지숫자의 전체적인 가능성을 고려하는 특징이 있다. 본 논문에서는 제안하는 방법을 퍼지숫자 정렬에 적용한 예와 기존의 방법과 비교한 결과를 보이며, 응용 예로서 의사결정의 문제에 적용한 결과를 제시한다.