• Title/Summary/Keyword: Decision System

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Smart Cargo Monitoring System Based on Decision Support System for Liquid Carrier Tanker

  • Kim, Youn-Tae;Baek, Gyeong-Dong;Jeon, Tae-Ryong;Kim, Sung-Shin
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.8 no.2
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    • pp.140-145
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    • 2008
  • In this paper, we constructed the advanced cargo monitoring system for liquid cargo tankers which embedded the Decision Support System (DSS) based on the International Ship Management Code (ISM Code). To make this system, we first organized a base of expert's knowledge concerning liquid tanker operations that largely affect ocean accidents. We can find out the knowledge via inference method which simply imitates the fuzzy inference method. Based on this expert's knowledge, we constructed the DSS that provides a code of conduct for operating cargo tanks safely. The proposed monitoring system could eliminate human error when confronting dangerous situations, so the system will help sailors to operate cargo tanks safely.

A Theoretical Framework of Strategic Decision Making Supporting Systems (전략의사결정지원시스템 개발을 위한 이론적 프레임워크에 대한 연구)

  • Kim, Yong Jin;Jin, Seung Hye;Lee, Seung Tae
    • Journal of Digital Convergence
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    • v.10 no.10
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    • pp.97-106
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    • 2012
  • In the past, executive managers made a decision based on personal experience and knowledge due to lack of the appropriate and timely information. With the development of information systems and technologies, efficiency and productivity of business operation has been enhanced. In this study, we propose a system design and architecture blue-print related to strategic decision making support system. The proposed system consists of 3 key parts; individual business feasibility test, business portfolio feasibility test, business portfolio management. The three key parts are comprised of 11 components to generate information and knowledge based on various data input from inside and outside of firm. This system is expected to provide objective and reliable output to users. In addition, the proposed strategic decision support system would help respond to a rapidly changing business environment.

Emotional Behavior Decision Model Based on Linear Dynamic System for Intelligent Service Robots (지능형 서비스 로봇을 위한 선형 동적 시스템 기반의 감정 기반 행동 결정 모델)

  • Ahn, Ho-Seok;Choi, Jin-Young
    • Journal of Institute of Control, Robotics and Systems
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    • v.13 no.8
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    • pp.760-768
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    • 2007
  • This paper introduces an emotional behavior decision model based on linear system for intelligent service robots. An emotional model should make different behavior decisions according to the purpose of the robots. We propose an emotional behavior decision model which can change the character of intelligent service robots and make different behavior decisions although the situation and environment remain the same. We defined each emotional element such as reactive dynamics, internal dynamics, emotional dynamics, and behavior dynamics by state dynamic equations. The proposed system model is a linear dynamic system. If you want to add one external stimulus or behavior, you need to add just one dimensional vector to the matrix of external stimulus or behavior dynamics. The case of removing is same. The change of reactive dynamics, internal dynamics, emotional dynamics, and behavior dynamics also follows the same procedure. We implemented a cyber robot and an emotional head robot using 3D character for verifying the performance of the proposed emotional behavior decision model.

A study on improving the usability of records of policy management system operation (방침경영시스템 운영기록의 유용성 제고에 관한 고찰)

  • Syn, Dong-Sig;Pack, Jong-Yop;Lim, Kyung-Sik;Kang, Kyung-Sik
    • Journal of the Korea Safety Management & Science
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    • v.11 no.1
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    • pp.213-222
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    • 2009
  • Two functions are considerable in the record management of policy management system operation. The first one is to prove that shows the conforming status of the management system requirements. The second one is to prove that shows the performing status whether the policy management system is operating effectively to the company. However, the second function requires the high level data analysis techniques, and it is more important for the decision making of the company operations. That is, the second function is more closer than the first function to the top manager's policy management tool. This paper is prepared to offer a study on the desirable record management which is necessary to the scientific decision making process. The scientific decision making requires the analysis of data derived from the reliable records. It is also aimed to enlighten the relations between the reliability of records and the adoption of the results of analysis in associated with the top manager's decision making.

Performance Evaluation of a Clinical Decision Support System for Drug Prescriptions (처방조제지원시스템 도입성과 평가)

  • Cho, Kyoung-Won;Park, Jin-Woo;Chae, Young-Moon
    • The Journal of the Korea Contents Association
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    • v.11 no.4
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    • pp.312-320
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    • 2011
  • The goal of this paper is to examine the effects of a CDSS(Clinical Decision Support System) for drug prescription on organizational performance in medical institutions using POC(Point Of Care) systems. For achieving this goal, evaluation factors for influencing performance of information system were identified by using the performance evaluation model for CDSS. In the results, there was significant causality between each evaluation domain except system quality domain. In addition, the system quality of CDSS for optimal drug prescription has no influence on user satisfaction. But information quality has positive influence on user satisfaction which has also a positive influence on organizational performance.

The Construction Methodology of a Rule-based Expert System using CART-based Decision Tree Method (CART 알고리즘 기반의 의사결정트리 기법을 이용한 규칙기반 전문가 시스템 구축 방법론)

  • Ko, Yun-Seok
    • The Journal of the Korea institute of electronic communication sciences
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    • v.6 no.6
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    • pp.849-854
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    • 2011
  • To minimize the spreading effect from the events of the system, a rule-based expert system is very effective. However, because the events of the large-scale system are diverse and the load condition is very variable, it is very difficult to construct the rule-based expert system. To solve this problem, this paper studies a methodology which constructs a rule-based expert system by applying a CART(Classification and Regression Trees) algorithm based decision tree determination method to event case examples.

A Study on the Construction of an Auditing Expert Systems (회계감사 전문가시스템의 구축에 관한 연구)

  • 김동균;이학열
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.17 no.32
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    • pp.297-308
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    • 1994
  • In the information system, there are many fields that used by decision making support system. Nowadays, the reasons that the need of the decision making system in audit is increased, are as follows. \circled1 The increased of competitiveness in audit environment \circled2 The rapid replenishment of computer hardware and computer system in corporations. The purposes of this study are as follows. \circled1 The connection of Internal management assess results and practical examination. \circled2 In the making of audit opinion, the establish of non-measure and evaluate logic. \circled3 The suggestion of knowledge base structure about the audit task. \circled4 The development of prototype system for the accounting audit expert system. The expected usefulness of accounting audit expert system development are as follows. \circled1 Audit time may be saved \circled2 The consistence of opinion will be increased \circled3 The elevation of audit technique \circled4 The decreased of audit risk \circled5 In the decision making rationlization of accounting information users, it will be proved as usefulness.

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투자 결정 시스템의 설계에 관한 연구

  • 정충영
    • Communications of the Korean Institute of Information Scientists and Engineers
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    • v.5 no.2
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    • pp.28-34
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    • 1987
  • This paper, according to modern theories of investment decision, designed physical investment decision system. The design of this system, mainly on the basis of both the evaluation of investment proposal and the procurement of fund, consists of the designs of input/output system, the evaluation system of investment proposal, the calculating system of capital cost, and the investment system integrated all the above systems. This system premised the use of computer intended to transform the unreasonable methods of present investment decision making into more reasonable one.

Decision Support System for the Water Supply System in Fukuoka, Japan

    • Proceedings of the Korea Water Resources Association Conference
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    • 2001.05a
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    • pp.15-24
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    • 2001
  • This study introduces an integrated decision support system (DSS) for the water supply system in Fukuoka City, Japan. The objective is to conceive a comprehensive tool that may aid decision-makers to derive the best water supply alternatives from a multi-reservoir system in order to minimize the long-term drought damages and threat of water shortage. The present DSS consists of graphical user interface (GUI), a database manager, and mathematical models for runoff analysis, water demand forecasting, and reservoir operation. The methodology applied explicitly integrates the drought risk assessment based on the concept of reliability, resiliency, and vulnerability, as constraints to derive the management operation. The application of the DSS to the existing water supply system in Fukuoka City was found to be an efficient tool to facilitate the examination of a sequence of water supply scenarios toward an improved performance of the actual water supply system during periods of drought.

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Partially Observable Markov Decision Processes (POMDPs) and Wireless Body Area Networks (WBAN): A Survey

  • Mohammed, Yahaya Onimisi;Baroudi, Uthman A.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.5
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    • pp.1036-1057
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    • 2013
  • Wireless body area network (WBAN) is a promising candidate for future health monitoring system. Nevertheless, the path to mature solutions is still facing a lot of challenges that need to be overcome. Energy efficient scheduling is one of these challenges given the scarcity of available energy of biosensors and the lack of portability. Therefore, researchers from academia, industry and health sectors are working together to realize practical solutions for these challenges. The main difficulty in WBAN is the uncertainty in the state of the monitored system. Intelligent learning approaches such as a Markov Decision Process (MDP) were proposed to tackle this issue. A Markov Decision Process (MDP) is a form of Markov Chain in which the transition matrix depends on the action taken by the decision maker (agent) at each time step. The agent receives a reward, which depends on the action and the state. The goal is to find a function, called a policy, which specifies which action to take in each state, so as to maximize some utility functions (e.g., the mean or expected discounted sum) of the sequence of rewards. A partially Observable Markov Decision Processes (POMDP) is a generalization of Markov decision processes that allows for the incomplete information regarding the state of the system. In this case, the state is not visible to the agent. This has many applications in operations research and artificial intelligence. Due to incomplete knowledge of the system, this uncertainty makes formulating and solving POMDP models mathematically complex and computationally expensive. Limited progress has been made in terms of applying POMPD to real applications. In this paper, we surveyed the existing methods and algorithms for solving POMDP in the general domain and in particular in Wireless body area network (WBAN). In addition, the papers discussed recent real implementation of POMDP on practical problems of WBAN. We believe that this work will provide valuable insights for the newcomers who would like to pursue related research in the domain of WBAN.