• Title/Summary/Keyword: Decision-making support system

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A GIS Based Spatial Decision Support System for Retail Center Locations (소매중심지 입지를 위한 GIS기반의 공간적 의사결정 지원시스템)

  • 백영기
    • Journal of the Korean Geographical Society
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    • v.36 no.3
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    • pp.278-291
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    • 2001
  • This paper is to build a spatial decision support system designed to solve problems relevant to the decision-making for retail center locations. For construction of the system this paper discusses the primary procedures of spatial modeling and issues of data, which are required for integrating spatial interaction models to GIS having capability of managing, analyzing and visualizing spatial data sets. Lexington, Kentucky, is selected as a case study to implement the spatial decision support system based on the spatial modeling module. This system for retail center locations is useful of estimating the catchment areas more accurately and analyzing resultant flow patterns. And this system can make spatial analysis efficiently for what-if scenarios such as an intended retail center or changing demand. The benefits of adopting this system allow the decision makers to plan the investment strategies and search for stable market structure.

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Web based System for Supporting Medical Treatment in Korean Medicine based on Korean Medicine Ontology (온톨로지를 활용한 웹 기반 한의 진료 지원 시스템)

  • Seo, Jin Soon;Kim, Sang Kyun;Oh, Yong Taek;Kim, An Na;Jang, Hyun Chul
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.28 no.1
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    • pp.113-121
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    • 2014
  • With the development of information technology, knowledge information-oriented and information systems are being rapidly paced. In addition, doctor's needs of the system that assist decision making is gradually increasing. Because the complex process of decision-making should be a lot. We propose a web based system for supporting medical treatment based on Korean medicine ontology. There are three kinds of processes. First, a pattern is decided for patient' symptoms, a formula for the pattern is selected and medicinal materials constituting the formula is added or removed. Second, a formula is decided for patient' symptoms, medicinal materials constituting the formula is added or removed. Third, a Treat method is decided for patient' symptoms, medicinal materials constituting the formula is added or removed. We have designed and implemented the clinical decision support system that supports flexible processes and necessary information and functions. The system shows the appropriate form of ontology knowledge as interrelated and provide analysis and processing, does not show simply search. The system is one of the systems utilizing ontology and a web based system that can be used in anywhere. Therefore, This system Will be useful as for doctors to make decision.

Knowledge Based Recommender System for Disease Diagnostic and Treatment Using Adaptive Fuzzy-Blocks

  • Navin K.;Mukesh Krishnan M. B.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.18 no.2
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    • pp.284-310
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    • 2024
  • Identifying clinical pathways for disease diagnosis and treatment process recommendations are seriously decision-intensive tasks for health care practitioners. It requires them to rely on their expertise and experience to analyze various categories of health parameters from a health record to arrive at a decision in order to provide an accurate diagnosis and treatment recommendations to the end user (patient). Technological adaptation in the area of medical diagnosis using AI is dispensable; using expert systems to assist health care practitioners in decision-making is becoming increasingly popular. Our work architects a novel knowledge-based recommender system model, an expert system that can bring adaptability and transparency in usage, provide in-depth analysis of a patient's medical record, and prescribe diagnostic results and treatment process recommendations to them. The proposed system uses a set of parallel discrete fuzzy rule-based classifier systems, with each of them providing recommended sub-outcomes of discrete medical conditions. A novel knowledge-based combiner unit extracts significant relationships between the sub-outcomes of discrete fuzzy rule-based classifier systems to provide holistic outcomes and solutions for clinical decision support. The work establishes a model to address disease diagnosis and treatment recommendations for primary lung disease issues. In this paper, we provide some samples to demonstrate the usage of the system, and the results from the system show excellent correlation with expert assessments.

Risk Classification of Vessel Navigation System using Correlation Weight of Marine Environment (해양 환경 요소 상관관계 가중치를 이용한 선박 항행 시스템의 위험도 분류)

  • Song, Byoung Ho;Bae, Sang Hyun
    • Journal of Integrative Natural Science
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    • v.4 no.1
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    • pp.31-37
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    • 2011
  • Various algorithms and system development are being required to support the advanced decision making of navigation information support system because of a serious loss of lives and property accidents by officer's error like as carelessness and decision faults. Much of researchers have introduced the techniques about the systems, but they hardly consider environmental factors. In this paper, We collect the context information in order to assess the risk, which is considered the various factor of the sailing ship, then extract the features of knowledge context, which is to apply the weight of correlation coefficients among data in context information. We decide the risk after the extract features through the classification and prediction of context information, and compare the value accuracy of proposed method in order to compare efficiency of the weighted value with the non-weighted value. As a result of experience, we know that the method of weight properties effectively reflect the marine environment because the weight accurate better than the non-weighted.

An Extended AND-OR Graph-Based Expert System in Electronic Commerce

  • 이건창;조형래;권순재
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 1999.10a
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    • pp.281-289
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    • 1999
  • The objective of this paper is to propose a brand new interface mechanism to provide more intelligent decision making support for EC problems. Its main virtue is based on a numerical process mechanism by using an Extended AND-OR Graph (EAOG)-based logic algebra. Using this mechanism, decision makers engaged in electronic commerce (EC) can effectively deal with complicated decision making problems. In the field of traditional expert systems research, AND-OR Graph approach has been suggested as a useful tool for representing the logic flowchart of the forward and/or backward chaining inference methods. However, the AND-OR Graph approach cannot be effectively used in the EC problems in which real-time problem-solving property should be highly required. In this sense, we propose the EAOG inference mechanism for EC problem-solving in which heurisric knowledge necessary for intelligent EC problem-solving can be represented in a form of matrix. Finally, we have proved the validity of our approach with several propositions and an illustrative EC example

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Implementation of Decision Making Process for Long-Term Preservation Strategy of Electronic Records (전자기록의 장기보존 전략을 위한 의사결정 프로세스 구현)

  • Cha, Hyun Chul
    • Journal of Korea Multimedia Society
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    • v.23 no.9
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    • pp.1201-1209
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    • 2020
  • Based on the risk factor evaluation for the file format, this paper defines the procedures for presenting the long-term preservation plan for that format and the technical information registry necessary for building the system. This is a procedure to perform a risk assessment for the format, evaluate the risk, and select a long-term preservation strategy based on the information registered in the registry and information on the external signature and internal signature of the electronic record. We also reviewed the criteria for selecting appropriate long-term preservation strategies in the process and provided the criteria for adopting each detailed strategy of migration and emulation, which are long-term preservation strategies. And we implemented this process as a long-term preservation decision support system. This system can be used to provide guidelines for the maintenance, management, service and long-term preservation of information resources of electronic records in public institutions such as National Archives of Korea and Libraries.

Development of Quantitative Decision Support Model for Optimal Form-Work Based on Construction Site Type (건축 공사현장 유형별 최적 거푸집 공법선정을 위한 정량적 의사결정 지원모델 개발)

  • Kim, Oh-Hyung;Cha, Hee-Sung
    • Korean Journal of Construction Engineering and Management
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    • v.20 no.4
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    • pp.56-68
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    • 2019
  • An optimal selection of form-work is very important in the construction project in terms of construction cost and duration management. Also, it substantially affects the quality of the structure and the finishing work. However, in South Korea, the decision making on the selection of form-work has been based on the experience and intuition of construction practitioners not on the objective data or rational decision-making system. In order to solve the problem, several types of research on the selection of form-work has been processed. However, they did not consider the construction site condition, which is one of the most important factors for the selection of form-work. Thus, the objective of this study is developing the objective decision supporting system considering the site condition. This study provides the quantitative decision support model for optimal form-work based on construction site type. It is expected that the decision support model will help the practitioners decide optimal form-work based on the objective data. It will ameliorate the existing decision making process using experience and intuition. In addition, because the model considers site-conditions, it will provide more accurate and appropriate decision on the selection of an optimal form-work.

An Interactive Decision Support System for Truck Dispatching (배차계획을 위한 대화형 의사결정지원시스템)

  • Park, Yang-Byung;Hong, Sung-Chul
    • Korean Management Science Review
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    • v.15 no.2
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    • pp.201-210
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    • 1998
  • Truck dispatching is one of the most commonly occurring problems of transprot management. We developed an interactive decision support system named IDSSTD, for the truck dispatching problem where two conflicting objectives are treated and travel speed varies depending on the passing areas and time of day. The IDSSTD aids the decision-making process by allowing the user to interact directly with the database, to direct data to a decision model, and to portray results in a convenient form. The IDSSTD is consisted of two major interactive phases. The pre-scheduling interactive phase is to reduce the complexity of a given problem before applying the BC-saving heuristic algorithm and the post-scheduling interactive phase is to improve practically the algorithmic solution. The IDSSTD has the capabilities of its own manipulation(analysis and recommendation) and diverse graphic features in order to facilitate a user's interaction.

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Decision Making Support System for Water Supply Facilities Planning using Geographic Information System (GIS를 이용한 상수도(上水道) 계획(計劃) 의사결정(意思決定) 지원(支援)시스템 연구(硏究))

  • Ha, Sung-Ryung;Kim, Ju-Hwan
    • Journal of Korean Society for Geospatial Information Science
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    • v.3 no.2 s.6
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    • pp.101-113
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    • 1995
  • In pipeline planning, the systematic and reasonal management of topographical and spatial data are needed in order to omprove the availibilities for data analysis and the effective combinations of spatial informations. According to that fact, DBMS (Database Management System) and DSS(Decision making Support System) have to be developed for the planning of water supply system Also, the economic selection for harmonious delivery of water to target area, since the alternatives of pre-designed pipeline are influenced by hydraulic stability and geographic characteristics. In this study, GIS technique for water supply planning and management which stores graphic features and attributes as digital data sets is considered and engineering application programs are integrated for effective planning of water supply system. Decision making support system based on analyzing technical, Social and economical aspects is developed for the extension of water supply facilities and pipeline configurations. Especially, Hydraulic, land-use and economic influences are considered as important factors for the purpose of developing the system. Hydraulic analysis program(SAPID) for pipeline flow which is already developed in Water Resources Research Institute and economic analysis program(ECOVEL) are integrated with GIS for resonable decision making. Every possible aspects in pipeline planning for water supply is reviewed and the applicabilities of developed system into the field are evaluated.

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