• 한국수자원학회논문집
• /
• 제39권6호
• /
• pp.545-552
• /
• 2006

본 연구에서는 노후관망의 최적개량 계획수립을 위한 의사결정모형을 개발하였다. 각각의 관거에 대한 개량계획을 수립하는 기존에 개발된 다른 모형과 달리 노후화된 상수관망을 소구역으로 구분하여 각 소구역의 개량계획을 수립하였다. 개발된 모형에서는 최적개량 의사결정을 위해 개량비용(교체비용, 갱생비용, 유지보수비용), 개선이익(펌프운영비 감소이익, 누수 감소이익) 및 수리학적 타당성을 고려하였다. 화음탐색법을 최적화기법으로 적용하였으며 수리학적 타당성 검토를 위해 수리해석 모형인 EPANET을 연계하였다. 대구시의 실제 상수도관망에 개발된 모형을 적용하였으며, 매설기간과 관의 종류에 의존하는 기존 방법과 달리 관의 내구성, 통수능, 비용 등을 고려하는 최적개량의사결정 시스템으로 활용될 수 있음을 확인하였다.

• 한국환경과학회지
• /
• 제23권11호
• /
• pp.1919-1927
• /
• 2014

In order to decide the location of appropriate onshore wind farm with higher potential wind energy, several decision processes using Geographic Information System (GIS) including Digital Elevation Map (DEM) were proposed and we also estimated the wind resources through the proposed decision process. Decision process consists with three steps. First step is excluding inappropriate location geographically using DEM data including SRTM (Shuttle Radar Topography Mission) terrain data, landslide, land-use, roadway, and forest road data. And the second step of decision process is consideration of the difficulty caused by the natural environmental problem. This step is carried out using ECVAM (Environmental Conservation Value Assessment Map) data. And final step is determination of the most suitable location through the Moving Suitability Identification Method (MSIM) based on the moving potentially estimated wind resources area. Proposed decision process was applied over the Korean Peninsula. Wind resource potential estimated by the first and the second step is cases shows 35.09 GW and 7.17 GW, respectively, and the total evaluated energy from the all proposed step were 0.43 GW and 1.87 GW for the 3 km and 1.5 km geographical grid size, respectively.

• 디지털융복합연구
• /
• 제14권6호
• /
• pp.143-150
• /
• 2016

본 논문의 목적은 지상작전 시 피아간 상대적 전투력을 분석하는데 전문가 시스템을 이용하는 방안을 제시하는 것이다. 상대적 전투력 분석은 지휘관 및 참모들이 부대를 어떻게 운용할 것인가에 대한 방향을 설정할 수 있기 때문에, 그 절차는 신속하고 이성적인 의사결정의 과정을 필요로 한다. 여러 애플리케이션들이 탑재될 수 있는 전술정보통신체계가 10년 동안 개발되고 있지만, 상대적 전투력 분석의 절차는 의사결정에 관여한 일부인원들에 의해 수작업으로 진행되어왔다. 본 연구에서는 이론적으로 3가지 상대적 전투력 분석방법을 고찰하고 이를 시스템에 지식(Knowledge)롤 사용될 수 있도록 수치적으로 표현하고, 유형뿐만 아니라 무형의 전투력도 지식에 포함될 수 있는 방안이 연구되었다. 기존의 대대급 전투력 지수와 수치적으로 표현된 지식을 이용하여 상대적 전투력 분석을 위한 전문가 시스템은 EXSYS Corvid로 구현되었다. 의사결정의 오류를 줄이고 빠른 의사결정을 가능하게 하며 유형뿐만 아니라 무형의 전투력까지 의사결정에 반영할 수 있을 것으로 기대된다. 향후에는 전투력 분석뿐만 아니라 인사분야나 정보 분석 분야에도 전문가 시스템을 도입하는 방안이 연구되어 객관적이고 합리적인 군 의사결정체계에 기여해야 한다.

• 가정과삶의질연구
• /
• 제4권2호
• /
• pp.9-24
• /
• 1986

This study aims at providing the data in order to understand home management and to mange home efficiently through attempting systems approach to home management focused on purchase decision making and marital role structure. For the purpose of this study, regarding housing purchase decision making process as a system, environmental characteristics as inputs, marital role structure and the satisfaction of purchase management as outputs, relation between inputs and outputs; the understanding about these components was established as research problem. And then the framework of analysis being based on theoretical references was suggested, and questionnaires were administrated to housewives. The result of this study is as follows: 1) Marital role structure was differently shown according to the phases of decision making process. 2) Marital role structure was differently shown according to the level of environmental characteristics. 3) The statisfaction of purchase manag ment was influenced by environmental characteristics. According to these results, home management can be understood in the view of system. That is, the morphostatic characteristics of family system can be grasped in environmental supra system in conideration of the structure of managerial sub system; the morphogenic characteristics of family system can be grasped centering on the relationship to environment.

• Perspectives in Nursing Science
• /
• 제5권1호
• /
• pp.17-31
• /
• 2008

Purpose: The purpose of this study was to evaluate the usability of a prototype personal digital assistant (PDA)-based decision support system for the management of obesity through usability testing with end-users (Advanced Practice Nurses [APNs]) prior to its implementation in clinical settings. Methods: This descriptive study used observational and think aloud techniques to address the research question: what usability problems are perceived by end-users? Five APNs were provided with the scenarios and the list of tasks to evaluate the application. Their verbalizations were recorded through Morae usabil ity software. Data analysis was based on the data captured through Morae, transcriptions, notes, and the end-user survey. Results: End-users completed all the required tasks without encountering a severe usability problem, and agreed that the system was easy to use. clear, concise, and useful. Usability issues that were unrecognized by the developer or usability experts were identified by APNs. The usability problems were categorized according to positive characteristics, negative characteristics, and recommendations. The usability issues were discussed with the project team members, and solutions were suggested to improve the user interface of the PDA-based decision support system before the final implementation. Conclusions: This approach had an important impact on making the system easier to use and more useful from the perspective of design and content. The results of this evaluation provided iterative feedback regarding the design and implementation of the PDA-based decision support system for the management of obesity.

• 한국지능정보시스템학회:학술대회논문집
• /
• 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
• /
• pp.456-463
• /
• 2001

Understanding and adapting to changes of customer behavior in internet shopping mall is an important aspect to survive in continuously changing environment. This paper develops a methodology based on decision tree algorithms to detect changes of customer behavior automatically from customer profiles and sales data at different time snapshots. We first define three types of changes as emerging pattern, unexpected change and the added/perished rule. Then, it is developed similarity and difference measures for rule matching to detect all types of change. Finally, the degree of change is developed to evaluate the amount of change. A Korean internet shopping mall case is evaluated to represent the performance of our methodology. And practical business implications for this methodology are also provided.

• Journal of Communications and Networks
• /
• 제15권5호
• /
• pp.486-495
• /
• 2013

In this article, we suggest a two-dimensional genetic algorithm (GA) method that applies a cognitive radio (CR) decision engine which determines the optimal transmission parameters for multicarrier communication systems. Because a CR is capable of sensing the previous environmental communication information, CR decision engine plays the role of optimizing the individual transmission parameters. In order to obtain the allowable transmission power of multicarrier based CR system demands interference analysis a priori, for the sake of efficient optimization, a two-dimensionalGA structure is proposed in this paper which enhances the computational complexity. Combined with the fitness objective evaluation standard, we focus on two multi-objective optimization methods: The conventional GA applied with the multi-objective fitness approach and the non-dominated sorting GA with Pareto-optimal sorting fronts. After comparing the convergence performance of these algorithms, the transmission power of each subcarrier is proposed as non-interference emission with its optimal values in multicarrier based CR system.

• Journal of applied mathematics & informatics
• /
• 제14권1_2호
• /
• pp.173-183
• /
• 2004

Data envelopment analysis(DEA) is a mathematical programming approach to asses s relative efficiency of a group of decision-making units. In view of the defects of existing models in evaluating efficiency of the system with P independent subsystems, Yang et al. [10] introduced YMK model with the assumption that decision-making unit(DMU) is independent of each other. But in some production systems, decision-making units usually have some relationships in this way or that. In this paper, DEA model is given by assuming that DMUs can cooperate with others in its subgroups. Some property and the efficiency relationship of the whole system and its subsystems are given.

• 한국지능정보시스템학회:학술대회논문집
• /
• 한국지능정보시스템학회 1999년도 추계학술대회-지능형 정보기술과 미래조직 Information Technology and Future Organization
• /
• pp.347-354
• /
• 1999

The credit rating represents an assessment of the relative level of risk associated with the timely payments required by the debt obligation. In this paper, we present a new approach to credit rating of customers based on the rough set theory. The concept of a rough set appeared to be an effective tool for the analysis of customer information systems representing knowledge gained by experience. The customer information system describes a set of customers by a set of multi-valued attributes, called condition attributes. The customers are classified into groups of risk subject to an expert's opinion, called decision attribute. A natural problem of knowledge analysis consists then in discovering relationships, in terms of decision rules, between description of customers by condition attributes and particular decisions. The rough set approach enables one to discover minimal subsets of condition attributes ensuring an acceptable quality of classification of the customers analyzed and to derive decision rules from the customer information system which can be used to support decisions about rating new customers. Using the rough set approach one analyses only facts hidden in data, it does not need any additional information about data and does not correct inconsistencies manifested in data; instead, rules produced are categorized into certain and possible. A real problem of the evaluation of the evaluation of credit rating by a department store is studied using the rough set approach.

• Journal of Electrical Engineering and Technology
• /
• 제4권1호
• /
• pp.43-48
• /
• 2009

The purpose of the this paper is to make decision of the maintenance priority of power distribution system using Time-Varying Failure Rate(TVFR) with interruption cost. This paper emphasizes the practical use of the reliability indices and interruption cost. To make a decision of maintenance priority on power distribution system equipment, the quantification of the reliability level should be represented as a cost. In this paper, the TVFR of power distribution system equipment applied in this paper utilizes analytic method to use the historical data of KEPCO. From this result, the sensitivity analysis on TVFR of equipment was done for the priority, which represents that high priority of the equipment has more effect on system reliability, such as SAIDI or SAIFI, than other equipment. By this priority, the investment plan is established. In this result, customer interruption cost(CIC) could be extracted, and CIC is used as weighting factor to consider a importance of customer. After that, the result calculated the proposal method in this paper is compared with other priority method, such as lifetime, failure rate or only sensitivity.