• International Journal of Fuzzy Logic and Intelligent Systems
• /
• 제7권4호
• /
• pp.295-300
• /
• 2007

The similarity analysis for fuzzy set pair or crisp set pair are carried out. The similarity measure that is based on distance measure is derived and proved. The proposed similarity measure is considered with the help of analysis for uncertainty or certainty part of the membership functions. The usefulness of proposed similarity is verified through the computation of similarity between fuzzy set and crisp set or fuzzy set and fuzzy set. Our results are also compared with those of previous similarity measure which is based on fuzzy number.

• 디지털산업정보학회논문지
• /
• 제5권1호
• /
• pp.141-153
• /
• 2009

There have been a lot of researches about KM(knowledge management) in domestic and foreign countries since 1990. Especially, there have been a lot of researches about enabler of KM, knowledge asset etc. but these are insufficient researches about performance measure of knowledge management considering maturity of KM. In addition, performance measure and maturity considering enabler to manage successful knowledge as well as knowledge asset which can be the following result are not the sufficient situation. Therefore, this study makes developmental levels of the inside and outside of the corporate by observing previous studies about the maturity of knowledge management and classifies enabler of knowledge management and measure item about knowledge asset by level, considering the features of each developmental level. And it is designed to propose maturity measure methods considering maturity level of actual knowledge management item by drawing indicator to measure classified items.

• Journal of the Korean Statistical Society
• /
• 제29권3호
• /
• pp.337-350
• /
• 2000

This paper suggests a new diagnostic measure and a stopping rule for detecting influential observations in multiple discriminant analysis (MDA). It is developed from a Bayesian point of view using a default Bayes factor obtained from the fractional Bayes factor methodology. The Bayes factor is taken as a discriminatory information in MDA. It is shown that the effect of an observation over the discriminatory information is fully explained by the diagnostic measure. Based on the measure, we suggest a stopping rule for detecting influential observations in a given training sample. As a tool for interpreting the measure a graphical method is sued. Performance of the method is used. Performance of the method is examined through two illustrative examples.

• 대한전자공학회논문지SD
• /
• 제41권5호
• /
• pp.81-90
• /
• 2004

본 연구는 테스트 패턴 생성 알고리즘에서 결정 과정을 안내하는 데 이용되는 새로운 테스트 용이도 척도 계산법을 제안한다. 이 테스트 용이도 척도는 학습에 의해 얻어지는 회로의 구조적 정보를 이용한다. 제안된 테스트 용이도 척도는 오직 하나의 해결책이 존재할 경우 모순조건을 조기에 찾아내는 패턴을 유도하며, 반면에 다수의 해결책들이 존재할 경우 최소한의 모순이 발생토록 유도한다. 제안된 테스트 용이도 척도는 기존의 방법과 동일한 고장 검출율을 얻는 패턴을 얻는데 소요되는 CPU 시간을 상당히 감소시킨다.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• 제10권4호
• /
• pp.275-280
• /
• 2010

Verification of efficiency in data management fuzzy entropy and similarity measure were discussed and verified by applying reliable data selection problem and numerical data similarity evaluation. In order to calculate the certainty or uncertainty fuzzy entropy and similarity measure are designed and proved. Designed fuzzy entropy and similarity are considered as dissimilarity measure and similarity measure, and the relation between two measures are explained through graphical illustration. Obtained measures are useful to the application of decision theory and mutual information analysis problem. Extension of data quantification results based on the proposed measures are applicable to the decision making and fuzzy game theory.

• 대한수학회보
• /
• 제55권2호
• /
• pp.561-572
• /
• 2018

In this paper we consider the concept of statistical causality in continuous time between flows of information, represented by filtrations. Then we relate the given concept of causality to the equivalent change of measure that plays an important role in mathematical finance. We give necessary and sufficient conditions, in terms of statistical causality, for extremality of measure in the set of martingale measures. Also, we have considered the extremality of measure which involves the stopping time and the stopped processes, and obtained similar results. Finally, we show that the concept of unique equivalent martingale measure is strongly connected to the given concept of causality and apply this result to the continuous market model.

• 전자공학회논문지B
• /
• 제29B권7호
• /
• pp.42-51
• /
• 1992

This paper suggests a measure constraint locus which is the loci of points satisfying the necessary constraint for optimality of a measure in the configuration space. The characterization of four measures for singularity avoidance is worked out by using the measure constraint locus. It gives a global look at the performance of an inverse kinematic algorithm whien each of measures in a kinematically redundant robot is used. The invertible workspace without singularities and the topological properties both on the configuration and operational spaces are analyzed. We discuss also some limitations, based on the topological arguments of measure constraint locus, of the inverse kinematic algorithms, and compare global properties of each of measure. Therfore, a new concept called measure constraint locus gives a methodology for obtaining a conservative joint trajectory without singularities for almost entire workspace.

• 한국원자력학회:학술대회논문집
• /
• 한국원자력학회 1996년도 추계학술발표회논문집(1)
• /
• pp.415-420
• /
• 1996

The main objective of the present study is to propose a new measure of uncertainty importance based on distributional sensitivity analysis. The new measure is developed to utilize a metric distance obtained from cumulative distribution functions (cdfs). The measure is evaluated for two cases: one is a cdf given by a known analytical distribution and the other given by an empirical distribution generated by a crude Monte Carlo simulation. To study its applicability, the present measure has been applied to two different cases. The results are compared with those of existing three methods. The present approach is a useful measure of uncertainty importance which is based on cdfs. This method is simple and easy to calculate uncertainty importance without any complex process. On the basis of the results obtained in the present work, the present method is recommended to be used as a tool for the analysis of uncertainty importance.

• Journal of applied mathematics & informatics
• /
• 제29권3_4호
• /
• pp.987-1000
• /
• 2011

We show how the dynamic optimization problem with the capital constraint can be reduced to the problem to find an optimal modified claim $\tilde{\psi}H$ where $\tilde{\psi}$ is a randomized test in the static problem. Coherent risk measure is used as risk measure in the $L^{\infty}$ random variable spaces. The paper is written in expository style to some degree. We use an average risk of measure(AVaR), which is a special coherent risk measure, to see how to hedge the modified claim in a complete market model.

• Journal of the Korean Statistical Society
• /
• 제25권2호
• /
• pp.289-301
• /
• 1996

This paper suggests a new diagnostic measure for detecting influential observations in two group linear discriminant analysis(LDA). It is developed from an information theoretic point of view using the minimum discrimination information(MDI) methodology. MDI estimator of symmetric divergence by Kullback(l967) is taken as a measure of the power of discrimination in LDA. It is shown that the effect of an observation over the power of discrimination is fully explained by the diagnostic measure. Asymptotic distribution of the proposed measure is derived as a function of independent chi-squared and standard normal variables. By means of the distributions, a couple of methods are suggested for detecting the influential observations in LDA. Performance of the suggested methods are examined through a simulation study.