• 한국지능시스템학회논문지
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• 제1권2호
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• pp.16-34
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• 1991

It has been widely accepted that expert systems must reason from multiple sources of information that is to some degree evidential - uncertain, imprecise, and occasionally inaccurate - called evidential information. Evidence theory (Dempster/Shafet theory) provides one of the most general framework for representing evidential information compared to its alternatives such as Bayesian theory or fuzzy set theory. Many expert system applications require evidence to be specified in the continuous domain - such as time, distance, or sensor measurements. However, the existing evidence theory does not provide an effective approach for dealing with evidence about continuous variables. As an extension to Strat's pioneeiring work, this paper provides a new combination rule, a new method for mass function transffrmation, and a new method for rendering joint mass fuctions which are of great utility in evidence theory in the continuous domain.

• ETRI Journal
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• 제42권5호
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• pp.799-804
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• 2020

Network security situation prediction is difficult due to its strong uncertainty, but DS evidence theory performs well in solving the problem of uncertainty. Based on DS evidence theory, this study analyzed the prediction of the network security situation, designed a prediction model based on the improved DS evidence theory, and carried out a simulation experiment. The experimental results showed that the improved method could predict accurately in the case of a large conflict, and had strong anti-jamming abilities as compared with the original method. The experimental results prove the effectiveness of the improved method in the prediction of the network security situation and provide some theoretical basis for the further application of DS evidence theory.

• 한국중재학회지:중재연구
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• 제23권4호
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• pp.77-96
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• 2013

International Arbitration has distinguished itself as a method for dispute resolution that pleases both common and civil law practitioners. It, however, is not free of criticism, especially when fact-finding and evidentiary issues are at play. Perhaps because fact-finding is very closely linked to the culture in which they lie, perhaps because of the lack of a clear evidentiary rules governing international arbitration, a theory of evidence in international arbitration is still far fetched. Through the analysis of the distinctions between dispute resolution systems and the search for truth paradigm, this paper aims to develop and present an outline for the development of a theory of evidence in international arbitration.

• Journal of Information Processing Systems
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• 제12권2호
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• pp.295-309
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• 2016

Spectrum sensing is an essential function that enables cognitive radio technology to explore spectral holes and resourcefully access them without any harmful interference to the licenses user. Spectrum sensing done by a single node is highly affected by fading and shadowing. Thus, to overcome this, cooperative spectrum sensing was introduced. Currently, the advancements in multiple antennas have given a new dimension to cognitive radio research. In this paper, we propose a multiple energy detector for cooperative spectrum sensing schemes based on the evidence theory. Also, we propose a reporting mechanism for multiple energy detectors. With our proposed system, we show that a multiple energy detector using a cooperative spectrum sensing scheme based on evidence theory increases the reliability of the system, which ultimately increases the spectrum sensing and reduces the reporting time. Also in simulation results, we show the probability of error for the proposed system. Our simulation results show that our proposed system outperforms the conventional energy detector system.

• 간호행정학회지
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• 제23권2호
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• pp.111-117
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• 2017

Getting evidence in to practice tends to focus on strategies, theories and studies that aim to close the gap between research knowledge and clinical practice. The evidence to practice gap is more about systems than individual clinician decision making. The absence of evidence for administration and management in the organization of healthcare is persistent. Teaching nurses and providing evidence as the solution to evidence-based healthcare is no longer axiomatic. Previous studies have concluded that unit level strategies integrate multi-professional teams with organizational needs and priorities. This 'best fit' approach that characterizes how healthcare is structured and delivered. The published literature shows that increased readiness for change is aligned with integrated approaches informed by conceptual models. The Joanna Briggs Collaboration is the largest global collaboration to integrate evidence within a theory informed model that brings together academic centres, hospitals and health systems for evidence synthesis, transfer and implementation. The best approaches to implementation are tailored to local culture and context, benchmark against international evidence, combine a theory informed model and stakeholder perspectives to improve the structure and processes of health care policy and practice.

• 한국과학교육학회지
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• 제32권2호
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• pp.201-209
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• 2012

본 연구는 예비초등교사들이 과학탐구를 수행하고 이에 대한 과학글쓰기를 분석하여 증거와 이론의 조정의 유형과 특성을 탐색하기 위한 연구이다. 본 연구에서 4개의 과학탐구활동에서 총 115개의 예비초등교사들의 글쓰기가 수집 및 분석되었다. 글쓰기 분석을 바탕으로 4개의 이론과 증거의 조정 유형을 발견할 수 있었다. 본 연구는 다음과 같이 유형을 제안한다. 유형1은 증거와 이론의 일치, 유형2는 증거와 이론의 일치 및 이론의 확장과 정교화, 유형3은 증거와 이론의 불일치, 마지막으로 유형4는 증거와 이론의 불일치 및 조정으로 보았다. 본 연구결과 우선 빈도수를 고려할 때 가장 많은 것에서 적은 것의 순으로 보면 유형1, 유형3, 유형2, 유형4의 순이다. 가장 빈도수가 높은 것으로 유형1이 나왔는데 이는 탐구질문에 내재된 이론이 참여자에 의해 쉽게 파악되었고 이를 지지하는 증거를 발견된 자료 중에서 골라냈다는 것으로 해석된다. 탐구주제와 조정유형의 빈도수 사이에 관련성이 별로 없었으나 예외적으로 활동1은 관련성을 보여주었다. 본연구의 이러한 결과는 학생들이 자신이 이미 가지고 있는 지식을 실험계획, 자료분석 및 해석 그리고 과학주장을 만들어내는 과정에서 잘 융합하고 있다는 점과 연관성이 있다고 보여진다.

• Journal of Information Processing Systems
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• 제15권5호
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• pp.1243-1257
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• 2019

As current algorithms unable to perform effective fusion processing of unknown complex radar signals lacking database, and the result is unstable, this paper presents a multi-level fusion processing algorithm for complex radar signals based on evidence theory as a solution to this problem. Specifically, the real-time database is initially established, accompanied by similarity model based on parameter type, and then similarity matrix is calculated. D-S evidence theory is subsequently applied to exercise fusion processing on the similarity of parameters concerning each signal and the trust value concerning target framework of each signal in order. The signals are ultimately combined and perfected. The results of simulation experiment reveal that the proposed algorithm can exert favorable effect on the fusion of unknown complex radar signals, with higher efficiency and less time, maintaining stable processing even of considerable samples.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2005년도 춘계 학술발표회 논문집
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• pp.521-528
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• 2005

The evaluation process of rock mass properties intrinsically contains some uncertainty due to the inhomogeneity of rock mass and the measurement error. Although various empirical methods for the determination of rock mass properties were suggested, there is no way of integrating various information on rock mass properties except averaging. For these reasons, this research introduces evidence theory which can model epistemic uncertainty and yield reasonable rock mass properties through combining various information such as empirical equations, in-situ test results, and so on. Through the application of evidence theory to the real site investigation and in situ experiment results, an interval of deformation modulus, cohesion and friction angle of rock mass were obtained. The ratios between lower and upper bound of those properties ranges from 1.6 to 3.6. Numerical analyses of circular hole using the properties for TYPE-2 rock mass were carried out. The magnitude or size of plastic region and radial displacement in case of lower bound properties is about 4 times larger than that of upper bound properties.

• Journal of information and communication convergence engineering
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• 제13권2호
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• pp.74-80
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• 2015

In cognitive radios, spectrum sensing plays an important role in accurately detecting the presence or absence of a licensed user. However, the intervention of malicious users (MUs) degrades the performance of spectrum sensing. Such users manipulate the local results and send falsified data to the data fusion center; this process is called spectrum sensing data falsification (SSDF). Thus, MUs degrade the spectrum sensing performance and increase uncertainty issues. In this paper, we propose a method based on the Hausdorff distance and a similarity measure matrix to measure the difference between the normal user evidence and the malicious user evidence. In addition, we use the Dempster-Shafer theory to combine the sets of evidence from each normal user evidence. We compare the proposed method with the k-means and Jaccard distance methods for malicious user detection. Simulation results show that the proposed method is effective against an SSDF attack.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제11권1호
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• pp.19-24
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• 2011

Edges represent significant boundary information between objects or classes. Various methods, which are based on differential operation, such as Sobel, Prewitt, Roberts, Canny, and etc. have been proposed and widely used. The methods are based on a linear convolution of mask with pre-assigned coefficients. In this paper, we propose an edge detection method based on Dempster-Shafer's evidence theory to evaluate edgeness of the given pixel. The effectiveness of the proposed method is shown through experimental results on several test images and compared with conventional methods.