• 제목/요약/키워드: Decision Function

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Estimating the Position of Mobiles by Multi-Criteria Decision Making

  • Lee, Jong-Chan;Ryu, Byung-Han;Ahn, Jee-Hwan
    • ETRI Journal
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    • 제24권4호
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    • pp.323-327
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    • 2002
  • In this study, we propose a novel mobile tracking method based on Multi-Criteria Decision Making (MCDM), in which uncertain parameters-the received signal strength, the distance between the mobile and the base station, the moving direction, and the previous location-are used in the decision process using the aggregation function in the fuzzy set theory. Through numerical results, we show that our proposed mobile tracking method provides a better performance than the conventional method using the received signal strength.

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불완전한 정보하의 의사결정하에서의 아중요인 추계적-통계적 우세법칙 (Multiattribute Stochastic Statistical Dominance in Decision Making with Incomplete Information)

  • 이대주
    • 한국경영과학회지
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    • 제18권2호
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    • pp.45-55
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    • 1993
  • In multiattribute decision making a decision maker (DM) can choose the best alternative if his/her multiattribute utility function and the joint probability distribution of outcomes are exactly known. This paper develops multiattribute stochastic-statistical dominance rules which can be applied to the situation when neither of them is known exactly, that is, when the DM cannot calculate the expected utility for each alternative. First, the notion of relative risk aversion is used dominance rules are developed to screen out dominated alternatives so that hi/she choose the best one among the remaining nondominated alternatives.

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계층분석기법을 이용한 이동통신사 선정에 관한 연구 (A Study on the Selection of the Telecommunication Company Using an Analytical Hierarchy Process)

  • 서광규
    • 대한안전경영과학회지
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    • 제9권1호
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    • pp.213-220
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    • 2007
  • This paper proposes the selection model of the telecommunication company using an analytical hierarchy process. When selecting a telecommunication company, consumers conflict the difficulty In decision-making because there are many competitive and complementary factors of telecommunication companies. To select an optimal telecommunication company, consumers need to consider a number of different quantitative and qualitative factors such as fare, various services, additional function and so on. In this study, we use the analytic hierarchy process based method for selecting the telecommunication company considering various factors to help consumers' decision-making for their benefits.

유전 알고리즘을 이용한 이진 결정 트리의 설계와 영문자 인식에의 응용 (A design of binary decision tree using genetic algorithms and its application to the alphabetic charcter)

  • 정순원;김경민;박귀태
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1995년도 추계학술대회 학술발표 논문집
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    • pp.218-223
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    • 1995
  • A new design scheme of a binary decision tree is proposed. In this scheme a binary decision tree is constructed by using genetic algorithm and FCM algorithm. At each node optimal or near-optimal feature or feature subset among all the available features is selected based on fitness function in genetic algorithm which is inversely proportional to classification error, balance between cluster, number of feature used. The proposed design scheme is applied to the handwtitten alphabetic characters. Experimental results show the usefulness of the proposed scheme.

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Empirical Bayes Problem With Random Sample Size Components

  • Jung, Inha
    • Journal of the Korean Statistical Society
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    • 제20권1호
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    • pp.67-76
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    • 1991
  • The empirical Bayes version involves ″independent″ repetitions(a sequence) of the component decision problem. With the varying sample size possible, these are not identical components. However, we impose the usual assumption that the parameters sequence $\theta$=($\theta$$_1$, $\theta$$_2$, …) consists of independent G-distributed parameters where G is unknown. We assume that G $\in$ g, a known family of distributions. The sample size $N_i$ and the decisin rule $d_i$ for component i of the sequence are determined in an evolutionary way. The sample size $N_1$ and the decision rule $d_1$$\in$ $D_{N1}$ used in the first component are fixed and chosen in advance. The sample size $N_2$and the decision rule $d_2$ are functions of *see full text($\underline{X}^1$equation omitted), the observations in the first component. In general, $N_i$ is an integer-valued function of *see full text(equation omitted) and, given $N_i$, $d_i$ is a $D_{Ni}$/-valued function of *see full text(equation omitted). The action chosen in the i-th component is *(equation omitted) which hides the display of dependence on *(equation omitted). We construct an empirical Bayes decision rule for estimating normal mean and show that it is asymptotically optimal.

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대도시 옥의 환경조형물의 설치기준에 대한 우선순위 분석 (Analysis of the Priority Decision for Establishment Criteria of Environmental Sculptures in Urban Areas)

  • 이상설;이정
    • 한국환경과학회지
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    • 제9권6호
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    • pp.489-494
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    • 2000
  • This research focused on the priotity decision for establishment sriteria on the effects which environmental sculptures in urban area. The analysis performed in this study used the AHP(Analytic Hierarchy Process) that is recognized as a useful decision-making tool to select and evaluate alternatives through pairwise comparison in the context of hierarchical decision structure. The results obtained from the analysis drawn by collecting the professional opinions of 5 experts for environmental sculptures are as follows: 1. The orders of establish criteria priorities on environmental sculptures were harmony of environment> symbol> public> function. The harmony of environment was the most important priority because it showed the highest weight of criteria. 2. The alternative priorities of environmental sculptures were the meaning of work>setting place> social contribution> physical quality .The meaning of work showed the highest change in the weight of alternative. 3.The sensitivity analysis of environmental sculptures demonstrated that the rate of change in the alternative priorities of the public was stabilized although the criteria importance varied, while the harmony of environment, the symbol intimated and function of priorities has their rates of weight changed if the criteria priorities were high.

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주생활양식이 주택구매 의사결정에 미치는 영향분석 (A Study on Housing Life-Style and Decision Making for Purchasing House)

  • 심미영
    • 대한가정학회지
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    • 제34권2호
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    • pp.341-353
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    • 1996
  • The purpose of this research is to investigate the influence of demographic and housing life-style variables on evaluation or choice criteria to the decision making for purchasing house. The results of this research were as follows ; 1) In analysis on housing life-style according to demographic variables, it showed that the age group had significant difference in decoration pursuits ; the educational group had significant difference in self-expression ; the income group had significant difference in self-expression and interior function. 2) In analysis on evaluation or choice criteria of decision making for purchasing house according to demographic variables, it showed that : the age group had significant difference in surrounding environment ; the educational group had significant difference in interior environment, interior or exterior facilty, apartment management, economics and surrounding environment ; the income group had significant difference in avail of approach, convenience facilities, apartment management, economics and surrounding environment. 3) In analysis the influence of demographic and housing life-style variables on evaluation or choice criteria to decision making for purchasing house, it was effected on educational level, decoration pursuit, practicality and ostentation in interior environment ; decoration pursuit, self-expression, interior function and practicality in interior or exterior facility ; decoration pursuit, practicality and ostentation in avail ability of approach and convenience facilities ; self-expression, practicality and ostentation in apartment management and economics ; age level, income level, decoration pursuit, self-expression, practicality and ostentation in surrounding environment.

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초등학교 3학년 아동의 미디어기기 중독 영향요인 탐색에 관한 연구: 의사결정나무 분석법의 적용 (A Study on the Exploration of Factors Influencing Media Device Addiction in Third Grade Students: Application of Decision Tree Analysis Method)

  • 이경진;권연희;황아람
    • 한국보육지원학회지
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    • 제18권5호
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    • pp.79-99
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    • 2022
  • Objective: This study was conducted to examine the significant factors affecting media device addiction using the data mining technique for large-scale data from the Panel Study on Korean Children Survey (PSKC). The PSKC data of this study were gathered from the elementary school students in their 10th survey (1,286 3rd grade students). Methods: The SPSS 21.0 program was used for data mining decision tree analysis, and the results are as follows. Results: First, the most important predictor of media device addiction was planning-organization which was among the sub-factors of executive function. Second, as a result of the decision tree analysis, the children with the highest probability of addiction to media devices were ones that had difficulties in planning and organizing, had mothers with a permissive parenting attitude felt difficulties in controlling behavior, and were alone at home for more than two hours a day without any adult supervision. Conclusion/Implications: The results of this study can help guide the direction of future research related to children's addiction to media devices by exploring and analyzing factors that significantly affect children's addiction to media devices.

Selection of Optimal Values in Spatial Estimation of Environmental Variables using Geostatistical Simulation and Loss Functions

  • Park, No-Wook
    • 한국지구과학회지
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    • 제31권5호
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    • pp.437-447
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    • 2010
  • Spatial estimation of environmental variables has been regarded as an important preliminary procedure for decision-making. A minimum variance criterion, which has often been adopted in traditional kriging algorithms, does not always guarantee the optimal estimates for subsequent decision-making processes. In this paper, a geostatistical framework is illustrated that consists of uncertainty modeling via stochastic simulation and risk modeling based on loss functions for the selection of optimal estimates. Loss functions that quantify the impact of choosing any estimate different from the unknown true value are linked to geostatistical simulation. A hybrid loss function is especially presented to account for the different impact of over- and underestimation of different land-use types. The loss function-specific estimates that minimize the expected loss are chosen as optimal estimates. The applicability of the geostatistical framework is demonstrated and discussed through a case study of copper mapping.

Decision Making Method based on Function and Performance Matrix Assessment Considering Design Change

  • Oh, Youngsuk;Chun, Jaeyoul;Cho, Jaeho
    • Architectural research
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    • 제17권3호
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    • pp.83-91
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    • 2015
  • A comprehensive understanding of functions and performances enables a selection of appropriate alternatives to the existing design and can prevent defective design. A performance-based design quality management can ensure successful project completion. This study proposes a new model for design quality management in order to prevent defective design and to minimize design change. The new quality management model defines the requirement about function and performance based on technical characteristic, and assesses suitability for design alternatives. This study attempts to propose a quality matrix assessment method that can compare the alternative design and requirements defined with the new quality management model. This method can judge conformity and suitability of design quality in accordance with the requirements configured.