• 대한산업공학회지
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• 제26권2호
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• pp.171-182
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• 2000

For the last five years, data mining has drawn much attention by researchers and practitioners because of its many applicable domains. This article presents an adaptive decision tree algorithm for dynamically reasoning machine failure cause out of real-time, large-scale machine status database. Among many data mining methods, intelligent decision tree building algorithm is especially of interest in the sense that it enables the automatic generation of decision rules from the tree, facilitating the construction of expert system. On the basis of experiment using semiconductor etching machine, it has been verified that our model outperforms previously proposed decision tree models.

• Journal of Biosystems Engineering
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• 제42권2호
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• pp.98-103
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• 2017

Purpose: Precision agriculture includes determining the right amount of nitrogen for a specific location in the field. This work focused on developing and validating a model using variable rate nitrogen application based on the estimated SPAD value from the ground-based image sensor. Methods: A variable rate N application based on the decision making system was performed using a sensor-based variable rate nitrogen application system. To validate the nitrogen application decision making system based on the SPAD values, the developed N recommendation was compared with another conventional N recommendation. Results: Sensor-based variable rate nitrogen application was performed. The nitrogen deficiency level was measured using the image sensor system. Then, a variable rate application was run using the decision model and real-ti me control. Conclusions: These results would be useful for nitrogen management of corn in the field. The developed nitrogen application decision making system worked well, when considering the SPAD value estimation.

• 산업경영시스템학회지
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• 제21권45호
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• pp.11-23
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• 1998

This paper presents a more efficient evaluation of alternatives by use of multi-criteria decision making methodlogy under fuzzy intersectional dependence relations. The performance evaluation of most systems such as weapons, enterprise systems etc. are multiple criteria decision making problems. The descriptions and judgements on these systems are usually linguistic and fuzzy. The traditional methods of Analytic Hierarchy Process(AHP) are mainly used in crisp(non-fuzzy) decision applications with a very unbalanced scale of judgements and rank reversal. To overcome these problems, we will propose a new, general decision making method for evaluation models using fuzzy AHP(FAHP) under fuzzy intersectional dependence relations. The T.M.S alternatives A, B and C will be evaluted by the Fuzzy Analytic Hierachy Process (FAHP) based on entropy weight in this study. We will use symmetric triangular fuzzy numbers to indicate the relative strength of the elements in the hierachy and degree of intersection between criteria. These problems are evaluated by five criteria : tactical criteria, technology criteria, maintenance criteria, economy criteria, advacement criteria.

• 경영과정보연구
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• 제7권
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• pp.365-379
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• 2001

The contents of summarizing this study are as follows. 1. The elements of ethical decision making depend upon the individual characteristics. 2. The elements of ethical decision making depend upon the two aspects of the individual characteristics. 3. The ethical decision making processes of business managements consist of the three steps of utilitarianism, individual righteousness, fair distributions. 4. The ethical decision making processes of multinational corporations consist of the three steps of utilitarianism, individual righteousness, and fair distributions. The utilization methods of this study are as follows. 1. They can be reflected in the formulations of business ethics codes. 2. They can be utilized in the executions of business ethics educations. 3. They can be utilized as means to heighten the ethics standards of business interests groups.

• 산업경영시스템학회지
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• 제20권43호
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• pp.321-331
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• 1997

Measurement of attributes is often highly subjective and imprecise, yet most MADM methods lack provisions for handling imprecise data. Frequently, decision makers must establish a ranking within a finite set of alternatives with respect to multiple attributes which have varying degrees of importance. The problem is more complex if the evaluations of alternatives according to each attribute are not expressed in precise numbers, but rather in fuzzy numbers. Analysis must allow for lack of precision and partial truth. The advantages of a fuzzy approach for MADM are that a decision maker can obtain efficient solutions all at once without trial and error, and that this approach provides better support for judging the interactive improvement of solutions in comparison with o decision making method. The algorithm used in this study is based on the concepts of vague set theory. Linguistic variables and vague values are used to facilitate a decision maker's subjective assessment about attribute weightings and the appropriateness of alternative versus selection attributes in order to obtain final scores which are called vague appropriateness indices. A numerical example is presented to show the practical applicability of this approach.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 하계학술대회 논문집 G
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• pp.3199-3201
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• 1999

Convolutional coding with Viterbi decoding is known as a powerful method for forward error correction among many kinds of channel coding methods. This paper presents a soft decision Viterbi decoder which has systolic array trace-back architecture[1]. Soft decision is known as more effective method than hard decision and most of digital communication systems use soft decision. The advantage of using a systolic array decoder is that the trace-back operation can be accomplished continuously in an array of registers in a pipe-line fashion, instead of waiting for the entire trace-back procedure to be completed at each iteration. Therefore it may be suitable for faster communication system. We described operations of each module of the decoder and showed results of the logic synthesis and functional simulation.

• 품질경영학회지
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• 제22권3호
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• pp.66-84
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• 1994

The investment to advanced manufacturing techniques is essential to reinforcement of furture competitiveness. To make a decision for selecting an appropriate manufacturing facility is very important ; it is, however, rather difficult to get a precise evaluation through conventional cost analysis methods. The supreme decision-maker does not only take into consideration tangible cost attributes in decision-making ; he also takes into account such intangible attributes as strategic ones. This study combines Analytic Hierarchy Process and Simulation in order to graph the variations of weighted indices of alternatives for effective decision making when cost attributes are uncertain. A numerical example is illustrated to explain the basic mechanics of the proposed decision procedure.

• Spatial Information Research
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• 제9권1호
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• pp.91-105
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• 2001

이 연구에서는 도시공원의 입지결정에 관련된 행정 업무의 효율성과 의사결정의 질향상을 위하여, GIS와 의사결정 분석기법이 통합된 의사결정 지원시스템을 구축하고자 하였다. 이 시스템은 현황분석, 대안생성, 대안평가에 이르는 일련의 과정을 일관성있는 시스템환경 하에 통합하여 효율적인 관리과정을 제공하고 있다. 도시공원 입지결정을 위하여 형평성, 효율성, 수혜인구, 동별공원비율, 지가, 지장물, 녹지연계성 등의 기준이 적용되었고, 단계별 특성에 따라 MAUT, AHP, ELECTRE 등의 다양한 의사결정 분석기법들이 접목되었으며, GIS를 이용한 다양한 공간분석 기능과 의사결정 과정을 시각적으로 확인할 수 있는 기능들이 개발되었다. 이 시스템은 향후 도시공원 관리기능을 포함하여 종합적인 도시공원 관리시스템으로 발전될 수 있으며, 연구과정에서 개발된 방법론들은 도시공원뿐 아니라 기타 도시시설의 입지결정에도 활용될 수 있을 것이다.

• 한국간호교육학회지
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• 제30권2호
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• pp.160-169
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• 2024

Purpose: This study aimed to identify the career decision profiles for nursing students and analyze their career barriers, preparation behaviors, decision-making self efficacy, and adaptability according to the career decision profiles. Methods: This cross-sectional study used content analysis. A total of 219 nursing students enrolled in two private Korean universities participated in this study. The data were collected in person and via email between December 8 and 31, 2020. Results: The decidedness and comfort results were statistically significant. Four clusters were identified: undecided-uncomfortable, decided-uncomfortable, decided-comfortable, and undecided-comfortable. Most participants were found to be decided-uncomfortable, followed by decided-comfortable, undecided-uncomfortable, and undecided-comfortable. The self efficacy scores were higher for the decision-comfortable profile than for the undecided-uncomfortable and decided-uncomfortable profiles. The mean adaptability scores were higher for the decision-comfortable profile than for the undecided-comfortable profile. Career barriers were negatively correlated with preparation behavior, decision-making self efficacy, and adaptability, while preparative behaviors were positively correlated with decision-making self efficacy and adaptability. Decision-making self efficacy was positively correlated with adaptability. The mean career barriers, preparation behaviors, decision-making self efficacy, and adaptability scores differed significantly across profiles. The mean career barrier score was higher for the undecided-uncomfortable than for the decided-comfortable profile; preparation behaviors exhibited no significant differences. Conclusion: Tailored career coaching and counseling programs based on personal characteristics and areas of interest are needed for freshmen and senior nursing students to reduce career barriers and to improve preparation behaviors, decision-making self efficacy, and adaptability.

• 한국전자파학회논문지
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• 제21권9호
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• pp.995-1004
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• 2010

채널의 상태가 변하는 전송 환경에서 수신된 신호에 대한 잡음비를 추정하여, 보다 효율적으로 신호를 전송하는 것은 현대 통신 시스템에서 중요한 기술이다. 기존 NDA(Non-Data-Aided) SNR 추정 방법은 M진 APSK 또는 같은 고차원 신호의 SNR 추정 성능이 떨어진다. 본 논문에서는 OFDM 시스템에서 블록 단위 수신 신호의 영점 자기 상관과 decision feedback 신호의 자기 상관 및 상호 상관을 이용하는 SNR 추정 방법을 제안한다. 본 논문에서 제안한 방법은 decision feedback 신호의 2차 모멘트인 영점 자기 상관을 이용하여 SNR을 추정하는 Type 1 방식과 4차 모멘트 성질을 갖고 있는 영점 자기 상관과 상호 상관을 이용한 Type 2 방식이다. 이 두가지 SNR 추정 방식은 OFDM 시스템에서 블록 단위 수신을 할 때, 신호의 상관 관계에 기반을 두고 있어 SNR 추정 방법의 실용적인 구현이 가능하게 하고, decision feedback 신호를 사용함으로써 QAM 신호에서도 종전의 SNR 추정 방식들보다 비교적 안정적인 추정 성능을 보인다. 또한, decision feedback 신호를 사용할 때 자기 상관과 상호 상관의 오차에 따른 SNR 추정 식을 수식적으로 유도한다. 그리고 Monte Carlo 시뮬레이션을 통해 제안한 SNR 추정 방법의 성능을 확인한다.