• 제목/요약/키워드: measure theory

검색결과 988건 처리시간 0.029초

활동중심원가계산을 이용한 품질관리활동의 성과평가 (Performance evaluation of quality management activity using activity based costing)

  • 이홍우;이진춘
    • 한국산업정보학회논문지
    • /
    • 제7권1호
    • /
    • pp.1-9
    • /
    • 2002
  • 품질관리는 일본의 성공에서도 볼 수 있듯이 경영성과를 결정하는 중요한 요소이나, 품질관리의 성과는 비재무적인 척도로 측정되어 경영자의 경영성과에 반영되지 못했다. 즉, 품질관리활동이 수익성 지표로 전환되지 못하여 실질적인 경영수단으로 그 역할을 다하지 못하고 있다. 반면에 품질원가 이론은 품질관리의 성과를 재무적 척도로 측정하려는 시도이지만, 적절한 측정수단이 없는 것이 문제이다. 이를 위해 본 연구에서는 품질관리성과를 재무적 척도로 측정하여 수익성지표와 연결할 수 있도록 활동중심원가계산을 도입하여 품질원가를 측정하여 품질 관리성과를 평가하는 방법을 제시하고, 이의 효용성을 설명하기 위해 중소기업의 사례를 이용하여 설명하였다.

  • PDF

Belief Function Retraction and Tracing Algorithm for Rule Refinement

  • Lee, Gye Sung
    • International journal of advanced smart convergence
    • /
    • 제8권2호
    • /
    • pp.94-101
    • /
    • 2019
  • Building a stable knowledge base is an important issue in the application of knowledge engineering. In this paper, we present an algorithm for detecting and locating discrepancies in the line of the reasoning process especially when discrepancies occur on belief values. This includes backtracking the rule firing from a goal node of the rule network. Retracting a belief function allows the current belief state to move back to another belief state without the rule firing. It also gives an estimate, called contribution measure, of how much the rule has an impact on the current belief state. Examining the measure leads the expert to locate the possible cause of problem in the rule. For non-monotonic reasoning, the belief retraction method moves the belief state back to the previous state. A tracing algorithm is presented to identify and locate the cause of problem. This also gives repair suggestions for rule refinement.

CONFORMAL MAPPING AND CLASSICAL KERNEL FUNCTIONS

  • CHUNG, YOUNG-BOK
    • 호남수학학술지
    • /
    • 제27권2호
    • /
    • pp.195-203
    • /
    • 2005
  • We show that the exact Bergman kernel function associated to a $C^{\infty}$ bounded domain in the plane relates the derivatives of the Ahlfors map in an explicit way. And we find several formulas relating the exact Bergman kernel to classical kernel functions in potential theory.

  • PDF

CONFORMAL DENSITY OF VISIBILITY MANIFOLD

  • Kim, Hyun-Jung
    • 대한수학회보
    • /
    • 제38권1호
    • /
    • pp.211-222
    • /
    • 2001
  • In this paper, we prove the existence and uniqueness of a $\delta(\Gamma)$-conformal density on the limit set of $\Gamma$ acting on visibility manifold H for a Fuchsian group $\Gamma$.

  • PDF

퍼지측도 및 퍼지적분 (An Introduction to Fuzzy Measures and Fuzzy Integrals)

  • 권순학
    • 한국지능시스템학회:학술대회논문집
    • /
    • 한국퍼지및지능시스템학회 1996년도 추계학술대회 학술발표 논문집
    • /
    • pp.35-41
    • /
    • 1996
  • This paper presents a short introduction to fuzzy measures and fuzzy integrals for providing an useful understanding of articles related on fuzzy measure theory and its applications. A brief overview of the basic concepts of systems, models, uncertainty, fuzzy measures and fuzzy integrals is provided. And terminology and notation frequently used in the discussion on the topic are introduced.

  • PDF

On the Optical Activity of Critical Fluid

  • Lee, Dong-Jae;Kim, Shoon-Kyung
    • Bulletin of the Korean Chemical Society
    • /
    • 제6권3호
    • /
    • pp.123-124
    • /
    • 1985
  • The optical activity of a fluid in the extreme critical region, where the Ornstein-Zernike theory does not hold, is explicitly obtained. We suggest new experimental methods to measure the critical exponent for correlation function by using the results of circular dichroism and optical rotation given in this paper.

STATISTICAL CONVERGENCE OF DOUBLE SEQUENCES OF COMPLEX UNCERTAIN VARIABLES

  • DATTA, DEBASISH;TRIPATHY, BINOD CHANDRA
    • Journal of applied mathematics & informatics
    • /
    • 제40권1_2호
    • /
    • pp.191-204
    • /
    • 2022
  • This paper introduces the statistical convergence concepts of double sequences of complex uncertain variables: statistical convergence almost surely(a.s.), statistical convergence in measure, statistical convergence in mean, statistical convergence in distribution and statistical convergence uniformly almost surely(u.a.s.).

다속성 효용이론을 활용한 소비자 선호조사 (Measuring Consumer Preferences Using Multi-Attribute Utility Theory)

  • 안재현;방영석;한상필
    • Asia pacific journal of information systems
    • /
    • 제18권3호
    • /
    • pp.1-20
    • /
    • 2008
  • Based on the multi-attribute utility theory (MAUT), we present a survey method to measure consumer preferences. The multi-attribute utility theory has been used to make decisions in OR/MS field; however, we show that the method can be effectively used to estimate the demand for new services by measuring individual level utility function. Because conjoint method has been widely used to measure consumer preferences for new products and services, we compare the pros and cons of two consumer preference survey methods. Further, we illustrate how swing weighing method can be effectively used to elicit customer preferences especially for new telecommunications services, Multi-attribute utility theory is a compositional approach for modeling customer preference, in which researchers calculate overall service utility by summing up the evaluation results for each attribute. On the contrary, conjoint method is a decompositional approach, which requires holistic evaluations for profiles. Partworth for each attribute is derived or estimated based on the evaluation, and finally consumer preferences for each profile are calculated. However, if the profiles are quite new and unfamiliar to the survey respondents, they will find it very difficult to accurately evaluate the profiles. We believe that the multi-attribute utility theory-based survey method is more appropriate than the conjoint method, because respondents only need to assess attribute level preferences and not holistic assessment. We chose swing weighting method among many weight assessment methods in multi-attribute utility theory, because it is designed to perform in a simple and fast manner. As illustrated in Clemen and Reilly (2001), to assess swing weights, the first step is to create the worst possible outcome as a benchmark by setting the worst level on each of the attributes. Then, each of the succeeding rows "swings" one of the attributes from worst to best. Upon constructing the swing table, respondents rank order the outcomes (rows). The next step is to rate the outcomes in which the rating for the benchmark is set to be 0 and the rating for the best outcome to be 100, and the ratings for other outcomes are determined in the ranges between 0 and 100. In calculating weight for each attribute, ratings are normalized by the total sum of all ratings. To demonstrate the applicability of the approach, we elicited and analyzed individual-level customer preference for new telecommunication services-WiBro and HSDPA. We began with a randomly selected 800 interviewees, and reduced them to 432 because other remaining ones were related to the people who did not show strong intention for subscription to new telecommunications services. For each combination of content and handset, number of responses which favored WiBro and HSDPA were counted, respectively. It was assumed that interviewee favors a specific service when expected utility is greater than that of competing service(s). Then, the market share of each service was calculated by normalizing the total number of responses which preferred each service. Holistic evaluation of new and unfamiliar service is a tough challenge for survey respondents. We have developed a simple and easy method to assess individual level preference by estimating weight of each attribute. Swing method was applied for this purpose. We believe that estimating individual level preference will be quite flexibly used to predict market performance of new services in many different business environments.

Employment Instability and Security Funds in U.S. Households

  • Baek, Eun-Woung
    • International Journal of Human Ecology
    • /
    • 제4권2호
    • /
    • pp.55-75
    • /
    • 2003
  • The purpose of this study was to investigate the effect of employment related factors on household savings for precautionary purposes when controlling for financial security and to compare the results between the two different economic periods. A conceptual framework was developed based on the precautionary saving theory, the family stress theory, and previous empirical studies. As a self-insurance, a measure of security funds were developed and used as the dependent variable. Using data on working households in the 1992 and the 1998 Survey of Consumer Finances (SCF), a MLE estimation was conducted on the pooled data. The 1992 and 1998 data were used to reflect periods of economic recession and expansion, respectively. The results suggested that factors representing resources played the most significant role in determining the amount of security funds. Some of the employment related factors, preferences, financial security, and race were also significantly affected the amount of security funds. The results suggested that stable employment conditions were important for households to accumulate security funds. Households with more human resources and financial resources had a larger amount of security funds than those that had less human and financial resources. From the findings, implications for research, policies, and financial educators had been suggested.