• 제목/요약/키워드: Control decision

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의사결정(意思決定)의 조정(調整)과 경영지표회계(經營指標會計)에 관한 연구(硏究) (A Study On Business Indicator Accounting for Adjusting Decision)

  • 박대규
    • 산학경영연구
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    • 제3권
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    • pp.23-46
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    • 1990
  • I. Introduction: In management control, business analysis has to do with a performance evaluation and is accounted much of manager's decision making, Business indicator accounting is the vehicle of decision making and also feedback can be accomplished by it. This study is to build up a logic about what capacity for use the business indicator accounting has in making decision. Therefore it is significant to make clear the adjustment of decision and to study the function of business indicator. II. Adjustment of Decision and Accounting Work: Adjustment of decision is connected with accounting now that business indicator accounting has a function of decision making. And it should be tied up with specialization as a structure of system, organization, communication and stage system. III. Adjustment of Decision and Managerial Accounting: Managerial account makes a great contributin to the management in which each adjustment of decision should be accomplished. Let me make mention of how the adjustment of decision is accomplished concretely, and what contribution che managerial accounting makes. In an adjustment of decision, centralization and decentrialization of enterprise are very import and I think the three problems, such as the extent of sphere (procurement, production and maketing), the face of affairs (planning, implementing and controlling), the final surge (decision making and action) can be accomplished by the business indicator accounting. IV. Structure of System and Disciplinary Approach for Decision: Decision can be classified into syncronized decision and continuous decision, and is closely connected with centralization and decentralization. In the course of systematizing, the sort of decision is classified into a man in charge of decision, and object of decision, conditions of decision, and an adjusting of decision. For it's object, it has an analogical thinking and an analytic subdivision about the target area. And it is premised on getting a scientific understanding. I think a disciplinary approach remains in solving these intricate problems. V. Conclusion: In this study I dealt with a specialization as a structure in management system and a theory that adjustment is a necessary process in decision making. For an adjustment of decision, exchanging informations and communication are necessary, and accounting is in charge of the process. And then the centralization and decentralization of decision should be connected in the way of adjustment of decision. In case of decentralization, the adjustment of decision is accomplished by the exchanging informations through feedback, and in case of centralization, by the all-round planning. And also I found that syncronized decision and decentralized decision are linked together. It is natural that the function of business indicator accounting is called for to render more services for it. Therefore, according to the extent of centralization and decentralization accounting to adjust the decision, can be various. Consequently, in relation to the structure of system. I think it is necessary to make a theoretical and empirical study of the business indicator accounting.

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조직분권화, 의사결정참여, 직무만족이 간호 관리자의 조직몰입에 미치는 영향 (Influence of Decentralization, Participation in Decision Making, Job Satisfaction on Nurse Managers' Organizational Commitment)

  • 유미;김경숙
    • 간호행정학회지
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    • 제17권3호
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    • pp.357-367
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    • 2011
  • Purpose: The purpose of this study was to examine the influence of decentralization, participation in decision making, job satisfaction on organizational commitment among hospital nurse managers. Method: The data were derived from the self-reported questionnaire responses of 198 nurse managers from January to March, 2006 at four general hospitals over 900 beds in Seoul and Gyungi province and analyzed by frequency and percentage, t-test, ANOVA and Sheffe's test and stepwise multiple regression. Result: Mean of decentralization was 3.53${\pm}$0.52, participation in decision making was 5.04${\pm}$0.83, job satisfaction 3.54${\pm}$0.48, and organizational commitment was 5.30${\pm}$0.76. There were significant differences between participation in decision-making and career of manager, field of practice, span of control, especially in staffing decision. A significant correlation was found between organizational commitment and decentralization (r=.22, p<.001), participation in decision making (r=.40, p<.001), job satisfaction (r=.64, p<.001). The job satisfaction has the highest significant predictor of organizational commitment ($R^2$=43%). Conclusions: Nursing managers' job satisfaction and organizational commitment will be promoted by granting participation in decision-making.

Integrating Fuzzy based Fault diagnosis with Constrained Model Predictive Control for Industrial Applications

  • Mani, Geetha;Sivaraman, Natarajan
    • Journal of Electrical Engineering and Technology
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    • 제12권2호
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    • pp.886-889
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    • 2017
  • An active Fault Tolerant Model Predictive Control (FTMPC) using Fuzzy scheduler is developed. Fault tolerant Control (FTC) system stages are broadly classified into two namely Fault Detection and Isolation (FDI) and fault accommodation. Basically, the faults are identified by means of state estimation techniques. Then using the decision based approach it is isolated. This is usually performed using soft computing techniques. Fuzzy Decision Making (FDM) system classifies the faults. After identification and classification of the faults, the model is selected by using the information obtained from FDI. Then this model is fed into FTC in the form of MPC scheme by Takagi-Sugeno Fuzzy scheduler. The Fault tolerance is performed by switching the appropriate model for each identified faults. Thus by incorporating the fuzzy scheduled based FTC it becomes more efficient. The system will be thereafter able to detect the faults, isolate it and also able to accommodate the faults in the sensors and actuators of the Continuous Stirred Tank Reactor (CSTR) process while the conventional MPC does not have the ability to perform it.

DEVELOPMENT OF EMEVATOR GROUP SUPERVISIRY SYSTEM WITH FUZZY MADE

  • Park, Hee-Chul;Lee, See-Hun;Choi, Don;Woo, Kwang-Bang
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1994년도 Proceedings of the Korea Automatic Control Conference, 9th (KACC) ; Taejeon, Korea; 17-20 Oct. 1994
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    • pp.390-394
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    • 1994
  • A elevator group supervisory system is designed to perform efficient operation of multiple elevators, and its basic function is to assign an appropriate elevator to a given hall-cell. In this paper, in order to improve elevator group control performance, we propose a new dispatching system which includes fuzzy multi-attribute decision making(MADM). In most cases, the purpose of group control is to maximize control goals as much as possible. Unfortunately, the decision of optimal elevator to a given hall cell is made with very uncertain information of the system, and some of control goals are related each other. The uncertainty is mainly resulted from car calls generated by serving hall calls. A fuzzy MADM algorithm is proposed to deal with these problems to improve system performance.

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팬데믹 상황에서 간호대학생의 윤리인식, 윤리적 의사결정 및 감염관리지침 수행태도가 감염관리지침 수행의도에 미치는 영향 (The Influence of Nursing Students' Ethical Awareness, Ethical Decision-making and Attitude toward Performance on Intention about Performance of Infection Control Guidelines in Pandemic Infectious Diseases)

  • 최동원
    • 한국보건간호학회지
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    • 제35권3호
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    • pp.343-355
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    • 2021
  • Purpose: This study aimed to identify the effects of nursing students' ethical awareness, ethical decision-making and attitude toward performance on intention about performance of infection control guidelines in pandemic infectious diseases. Methods: The survey was performed on 163 nursing students in three universities. Data were collected using a structured questionnaires and analyzed with t-test, analysis of variance (ANOVA), Pearson's correlation and multiple regression analysis. Results: Perceived health status, ethical awareness and attitude toward performance of infection control guidelines about major commitment were significant predictive variables. These variables accounted for 48.1% of the variance in major commitment. Conclusion: The findings indicate the necessity of developing educational programs to enhance nursing students's ethical awareness, and increase performance of control guidelines to prepare for the pandemic infectious diseases.

간호 대학생의 감성지능이 진로결정 자기효능감과 진로결정수준에 미치는 영향 (The Effects of Emotional Intelligence on the Career Decision-Making Self-Efficacy and Career Decision Levels of the Nursing Students)

  • 송현영;신소홍
    • 한국산학기술학회논문지
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    • 제17권9호
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    • pp.628-640
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    • 2016
  • 본 연구는 간호대학생의 감성지능이 진로결정 자기효능감과 진로결정수준에 미치는 영향요인을 파악하고자 실시된 서술적 조사연구이다. 대상자는 대구 경북지역 간호 대학생 3,4학년 223명이며, 구조화된 설문지를 이용하여 2015년 10월 19일부터 10월 30일까지 편의표집 하였다. 본 연구에서 수집된 자료는 SPSS 22.0 통계 프로그램을 이용하여, 인구사회학적 특성, 감성지능, 진로결정자기효능감, 진로결정수준은 기술통계(빈도, 백분율, 평균, 표준편차)를 실시하고, 측정도구의 신뢰도는 Cronbach's ${\alpha}$값을 구하였다. 일반적인 특성에 따른 감성지능, 진로결정자기효능감, 진로결정수준의 차이는 t-test와 ANOVA를 하였고, 사후검정은 Scheffe test를 실시하였다. 또한 주요변인 간의 상관관계는 Pearson's correlation coefficients를 산출하여 분석하였다. 대상자의 일반적 특성과 감성지능이 진로결정자기효능감과 진로결정수준에 미치는 영향을 살펴보기 위하여 다중회귀분석을 실시하였다. 분석결과 감성지능과 진로결정 자기효능감, 진로결정수준은 정(+)적 상관성을 보였다. 진로결정 자기효능감에 미치는 영향요인은 성별(${\beta}=-.155$), 취업률 동기(${\beta}=-.145$), 감성 활용(${\beta}=.236$), 감성조절(${\beta}=.197$), 타인 감성이해(${\beta}=.157$)가 유의미하였다. 진로결정수준에 미치는 영향요인은 학년(${\beta}=.273$), 취업률 동기(${\beta}=-.145$), 주위의 권유동기(${\beta}=-.138$), 감성조절(${\beta}=.223$)이 유의미하였다. 따라서 간호학과 선택 시 자신의 의지로 선택할 수 있도록 학교나 가정에서 간호사의 역할이나 임무 등에 대하여 충분하게 조언할 필요가 있다. 또한 학사과정에서 정서적 교육 등의 비중을 높이면 감성지능을 향상시킬 수 있을 것이다.

ANALYSIS OF HUMAN DECISION MAKING PROCESS BASED ON CONDITIONAL PROBABLILTY

  • Nakamura, Masatoshi;Goto, Satoru
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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    • pp.783-786
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    • 1997
  • Automatic realization of on-off human decision making was derived based on a conditional probability. Following the proposed procedure, problems of insulator washing timing in power substations and spike detection on EEG(electroencephalogram) records were appropriately solved.

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Robot behavior decision based on Motivation and Hierarchicalized Emotions

  • Ahn, Hyoung-Chul;Park, Myoung-Soo;Choi, Jin-Young
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.1776-1780
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    • 2004
  • In this paper, we propose the new emotion model and the robot behavior decision model based on proposed emotion model. As like in human, emotions are hierarchicalized in four levels (momentary emotions, mood, attitude, and personality) and are determined from the robot behavior and human responses. They are combined with motivation (which is determined from the external stimuli) to determine the robot behavior.

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A General Decision-Theoretic Model for a Couple's Family Building Process

  • Abel, Volker
    • 한국경영과학회지
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    • 제7권1호
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    • pp.51-57
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    • 1982
  • During the course of history, more and more reliable birth control methods have become available. Hence, to a certain degree, the possibility of avoiding any or additional children, and of spacing the family building process has arisen. The advancement of six predetermination technology, whereby couples can influence the sex of their children, gives couples, another decision variable. Assuming a rational acting couple, we present a general decision-theoretic model which describes the family building process and its optimization through maximizing the expected utility concerning the spacing, ordering, sex, and number of their children.

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L-SYSTEM IN CELLUSAT AUTOMATA DESIGN OF ARTIFICIAL NEURAL DECISION SYSTEMS

  • Sugisaka, Masanori;Sato, Mayumi;Zhang, Yong-guang;Casti, John
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1995년도 Proceedings of the Korea Automation Control Conference, 10th (KACC); Seoul, Korea; 23-25 Oct. 1995
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    • pp.69-70
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    • 1995
  • This paper considers the applications of cellular automata in order to design self-organizing artificial neural decision systems such as self-organizing neurocomputer circuit, machines, and artifical life VLSI circuits for controlling mechanical systems. We consider the L-system and show the results of growth of plants in artificial life.

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