• 제목/요약/키워드: Decision Methods

검색결과 3,217건 처리시간 0.031초

A System Dynamics Approach for Making Group Decision

  • Kwahk Kee-Young;Kim Hee-Woong
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회/대한산업공학회 2003년도 춘계공동학술대회
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    • pp.958-965
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    • 2003
  • The rapidly changing business environment has required cooperation and coorduiation among functional units n organizations which should Involve group decision-making processes Although many group derision-making support tools and methods have provided the collaborative capabilities for organizational members, they often lack features supporting the dynamic complexity issue frequently occurring at group decision-making processes This study proposes system dynamics modeling as a group decision-making support tool to deal with the group derision-making tasks having properties of dynamic complexity in terms of cognitive fit theory.

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Wi-Fi 기반 옥내측위를 위한 확장칼만필터 방법 (Extended Kalman Filter Method for Wi-Fi Based Indoor Positioning)

  • 임재걸;박찬식;주재훈;정승환
    • Journal of Information Technology Applications and Management
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    • 제15권2호
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    • pp.51-65
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    • 2008
  • The purpose of this paper is introducing WiFi based EKF(Extended Kalman Filter) method for indoor positioning. The advantages of our EKF method include: 1) Any special equipment dedicated for positioning is not required. 2) implementation of EKF does not require off-line phase of fingerprinting methods. 3) The EKF effectively minimizes squared deviation of the trilateration method. In order to experimentally prove the advantages of our method, we implemented indoor positioning systems making use of the K-NN(K Nearest Neighbors), Bayesian, decision tree, trilateration, and our EKF methods. Our experimental results show that the average-errors of K-NN, Bayesian and decision tree methods are all close to 2.4 meters whereas the average errors of trilateration and EKF are 4.07 meters and 3.528 meters, respectively. That is, the accuracy of our EKF is a bit inferior to those of fingerprinting methods. Even so, our EKF is accurate enough to be used for practical indoor LBS systems. Moreover, our EKF is easier to implement than fingerprinting methods because it does not require off-line phase.

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교통시설 상호연관성 분석방법론 개발 (Development of the Analysis Methodology for Interrelationship between Transportation Facilities)

  • 남궁백규;정성봉;장유진
    • 한국도로학회논문집
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    • 제15권3호
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    • pp.169-176
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    • 2013
  • PURPOSES : Lots of criticism such as over/duplication investment, inconsistency of the policies among local governments and national plans etc. has been aroused due to the policy of supply-driven construction for transportation facilities. Recently, according to the environmental-friendly transportation policy, the investment of railroad has been expanded gradually, however the duplication with existing road facility makes it difficult to construct railroad. Thus it is necessary to evaluate the interrelationship between new project and existing facilities in the planning stage. However the method and the criteria for analyzing the duplication and over-investment of projects are not established in the manual, thus the feasibility of these projects are carried out from the economic point of view. METHODS: First, It reviewed about interrelationship criteria(domestic, overseas) and proposed implications and this study directions. Next, It developed the methods of evaluating independency, competitiveness and complementarity. RESULTS : In this study, the methods of evaluating independency, competitiveness and complementarity etc. are suggested to analyze the interrelationship between transportation facilities. The case study was carried out to examine the applicability of the methods. CONCLUSIONS: The methods raise rationality of decision-making compared to existing one. In the future, these methods are introduced into the manual of pre-feasibility study and feasibility study, more efficient decision-making and investment are expected.

다기준의사결정법(多基準意思決定法)에 의한 임도개설순위(林道開設順位)의 결정(決定) (Determination of Forest Road Construction Priority Order Using Multiple Criteria Decision Making Methods)

  • 차두송;조구현;김종윤
    • 한국산림과학회지
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    • 제85권2호
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    • pp.149-157
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    • 1996
  • 본 연구는 22개 지역에 대하여 임목수확 및 무육작업을 위한 임도개설순위를 결정하기 위하여, 다기준의사결정법중에 선호보정이 없는 모형인 최대최소법 및 최대최대법, 선호보정이 있는 모형인 단순가중치법, 계층가중치법 및 TOPSIS법의 적용성을 검토하였다. 그 결과 단순가중치법과 TOPSIS법이 임도개설순위의 결정에 적합한 것으로 판명되었다.

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The Methods of Value Management to Support Decision-Making of Urban Regeneration Projects

  • Kang, Hyun-Koo;Yu, Jung-Ho;Kim, Chang-Duk;Son, Bo-Sik
    • 국제학술발표논문집
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    • The 3th International Conference on Construction Engineering and Project Management
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    • pp.1503-1508
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    • 2009
  • The paradigm of urban generation does not lie in physical development/maintenance such as urban redevelopment any more. The paradigm is shifting to balanced activation of administration / management functions including central commerce/business functions, broad culture/tourism functions, international functions and adequate level of residence functions. The urban regeneration project aims to restore functions of cities by physical/environmental, living/cultural and industrial/economical regeneration and is managed differently from existing projects in that it includes multiple sub-projects in it. The overall projects management should be by managing the value sought by the urban regeneration project and multiple other sub-projects. The objective of this study is to present various methods of value management in order to avoid conflicts between various objectives within the said project. It aims to provide the value management methods for decision making by understanding correlatedness between values of various projects and prioritizing them.

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노후인프라 자산관리를 위한 효용이론 적용 방안 (Application of Utility Theory for Asset Management of Deteriorated Infrastructure)

  • 차용운;박원영;박태일
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2021년도 봄 학술논문 발표대회
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    • pp.311-312
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    • 2021
  • As the number of deteriorated infrastructures increases, research on decision-making methods for efficient budget allocation is required. Thus, this study considered the application of utility theory for asset management of deteriorated infrastructure. In decision-making, methods that enable quantitative measurement were proposed, attributing the aging, economic feasibility, and ripple effects. This study is meaningful as a basic study of decision-making methods, and we will conduct research applied to case studies in the future.

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A Group Decision Model for Selecting Facility Layout Alternatives

  • Lin, Shui-Shun;Chiou, Wen-Chih;Lee, Ron-Hua;Perng, Chyung;Tsai, Jen-Teng
    • Industrial Engineering and Management Systems
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    • 제4권1호
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    • pp.82-93
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    • 2005
  • Facility layout problems (FLP) are usually treated as design problems. Lack of systematic and objective tools to compare design alternatives results in decision-making to be dominated by the experiences or preferences of designers or managers. To increase objectivity and effectiveness of decision-making in facility layout selections, a decision support model is necessary. We proposed a decision model, which regards the FLP as a multi-attribute decision making (MADM) problem. We identify sets of attributes crucial to layout selections, quantitative indices for attributes, and methods of ranking alternatives. For a requested facility layout design, many alternatives could be developed. The enormous alternatives, various attributes, and comparison of assigned qualitative values to each attribute, form a complicated decision problem. To treat facility layout selection problems as a MADM problem, we used the linear assignment method to rank before selecting those high ranks as candidates. We modelled the application of the Nemawashi process to simulate the group decision-making procedure and help efficiently achieve agreement. The electronics manufacturing service (EMS) industry has frequent and costly facility layout modifications. Our models are helpful to them. We use an electronics manufacturing service company to illustrate the decision-making process of our models.

패밀리 레스토랑의 메뉴 권유 판매가 고객 태도, 만족, 구매 의사 결정에 미치는 영향 (Effects of Recommendation Selling in Family Restaurants on Customer Attitudes, Customer Satisfaction, Customer Purchase Decision Making)

  • 이연정;주현식
    • 한국조리학회지
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    • 제12권2호
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    • pp.73-87
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    • 2006
  • The purpose of this study is to investigate if recommendation selling (methods of recommendation selling, a key word used for recommendation, and employee attitude) influences the customers' menu decision. The results of the study are as follows: 'Menu picture' and 'explanation by word' among the tools used by employees for recommendation were found to influence customers' menu decision. The words such as 'new menu' and 'special only today' used by employees for recommendation were found to influence customers' menu decision. Employees' attitude elements such as 'interesting explanation', 'dressed up tidy', 'strong intention', and 'patience' were found to influence customer's menu decision. 'Recommendation selling' in the food and beverage industry means 'employees help customers make a good decision on food and beverage service'. This study makes an important contribution to the food industry in terms of providing substantial marketing strategies.

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Waste Database Analysis Joined with Local Information Using Decision Tree Techniques

  • Park, Hee-Chang;Cho, Kwang-Hyun
    • 한국데이터정보과학회:학술대회논문집
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    • 한국데이터정보과학회 2005년도 춘계학술대회
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    • pp.164-173
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    • 2005
  • Data mining is the method to find useful information for large amounts of data in database. It is used to find hidden knowledge by massive data, unexpectedly pattern, relation to new rule. The methods of data mining are decision tree, association rules, clustering, neural network and so on. The decision tree approach is most useful in classification problems and to divide the search space into rectangular regions. Decision tree algorithms are used extensively for data mining in many domains such as retail target marketing, fraud detection, data reduction and variable screening, category merging, etc. We analyze waste database united with local information using decision tree techniques for environmental information. We can use these decision tree outputs for environmental preservation and improvement.

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결정목을 이용한 유도전동기 결함진단 (Fault Diagnosis of Induction Motors using Decision Trees)

  • Tran Van Tung;Yang Bo-Suk;Oh Myung-Suck
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2006년도 추계학술대회논문집
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    • pp.407-410
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    • 2006
  • Decision tree is one of the most effective and widely used methods for building classification model. Researchers from various disciplines such as statistics, machine teaming, pattern recognition, and data mining have considered the decision tree method as an effective solution to their field problems. In this paper, an application of decision tree method to classify the faults of induction motors is proposed. The original data from experiment is dealt with feature calculation to get the useful information as attributes. These data are then assigned the classes which are based on our experience before becoming data inputs for decision tree. The total 9 classes are defined. An implementation of decision tree written in Matlab is used for four data sets with good performance results

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