• 한국생물공학회:학술대회논문집
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• 2003.10a
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• pp.414-414
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• 2003

• Journal of the Korean Data and Information Science Society
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• v.13 no.2
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• pp.209-216
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• 2002

In this paper, we introduce a concept of (H)-property which generalize that of increasing(decreasing) property of binary operation. We also treat some works related to operations on fuzzy numbers and generalize earlier results of Kawaguchi and Da-te(1994).

• Proceedings of the Zoological Society Korea Conference
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• 2005.08a
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• pp.26-26
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• 2005

• Journal of the Korean Society for Precision Engineering
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• v.19 no.8
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• pp.34-37
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• 2002

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2000.05a
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• pp.162-162
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• 2000

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2007.10a
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• pp.253-254
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• 2007

• Communications of the Korean Mathematical Society
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• v.35 no.3
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• pp.825-841
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• 2020

We characterize bicomplex holomorphic functions from several estimates. Originally, Riley [5] studied such problems in local case. In our study, we treat global estimates on various unbounded domains. In many cases, we can determine the explicit form of a function.

• Communications of the Korean Mathematical Society
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• v.11 no.2
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• pp.407-413
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• 1996

The $(\alpha, \beta)$-metric is a Finsler metric which is constructed from a Riemannian metric $\alpha$ and a differential 1-form $\Beta$; it has been sometimes treat in theoretical physics. In particular, the projective flatness of Finsler space with a metric $L^2 = 2\alpha\beta$ is considered in detail.

• Korean Journal of Mathematics
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• v.24 no.3
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• pp.489-494
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• 2016

The purpose of this paper is to treat the generalized conditional Yeh-Wiener integral for the sample path-valued conditioning function. As a special case of our results, we obtain the results in [6].

• Communications for Statistical Applications and Methods
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• v.6 no.1
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• pp.107-116
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• 1999

We propose a sample design which minimize Bayes risk for cluster smpling in sampling inspection. We treat a pilot sample and an additional sample size as random variable. In addition we compute an appropriate cluster size for handling over-dispersion.