• 제목/요약/키워드: Decision making Criteria

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퍼지 의사결정법에 의한 주암호 수질관리 전략 평가 (Water Quality Management Strategies Evaluation of Juam Lake by A Fuzzy Decision-Making Method)

  • 이용운;황윤애;이성우;이병희;최정욱
    • 대한환경공학회지
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    • 제22권4호
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    • pp.699-712
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    • 2000
  • 주암호는 광주 전남지역의 주민생활이나 공 농업활동에 기반이 되는 중요한 수자원의 역할을 하고 있으나, 주암호에 유입되는 오염물질로 말미암아 호수의 수질은 점점 악화되고 있는 실정이다. 따라서 주암호 수질개선 전략은 시급히 마련되어야 할 것이다. 호수의 수질개선 전략으로 하나가 아닌 다수의 대안이 개발될 경우에 대안별 평가 및 최적순위 결정을 위해서는 목표수질의 달성도, 사회 기술적 적용성 및 경제성 측면을 고려한 평가기준들이 선정된다. 그러나 평가기준들의 수가 많고 각 기준이 추구하는 목적이 서로 상충될 때 의사결정은 어려워진다. 특히, 각 평가기준에 대한 대안별 기준값이 불확실성을 내포하는 경우에는 의사결정이 더욱 곤란하게 된다. 이러한 불확실성의 정도가 크면 클수록 의사결정은 점점 어려워지는데, 각 기준값의 불확실성이 발생하는 주요 원인은 활용할 수 있는 정보의 부족, 미래 상황의 불확실 또는 전문가 지식의 한계 때문이다. 본 논문에서는 의사결정권자가 불확실성 하에서도 호수의 수질개선 대안들을 평가하는데 이용할 수 있는 퍼지 의사결정법이 보여질 것이다. 이 방법은 퍼지이론을 응용하여 대안별 평가기준 값의 불확실성 정도를 해석하고, 이를 그대로 의사결정 과정에 반영하기 때문에 불확실성을 고려하지 않는 방법들에 비해 합리적이고 현실성있는 최적의 수질관리 대안이 선정될 수 있다.

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불명료한 선호정보 하의 다기준 그룹의사결정 : Linguistic Quantifier를 통한 퍼지논리 활용 (Multi-Criteria Group Decision Making under Imprecise Preference Judgments : Using Fuzzy Logic with Linguistic Quantifier)

  • 최덕현;안병석;김성희
    • 지능정보연구
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    • 제12권3호
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    • pp.15-32
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    • 2006
  • 본 논문에서는 각 대안의 속성 평가와 속성 자체의 중요도에 대한 평가에 있어 불명료한 선호정보 형태로 주어진 경우, linguistic quantifier를 통한 퍼지논리를 활용하여 그룹의사결정을 지원하는 방법을 제시하였다. 불명료한 선호정보는 의사결정 관련 문헌에서 의사결정자에게 요구되는 선호정보 명시의 부담을 줄여주고, 판단의 모호성을 받아들이고자 하는 시각으로서 다뤄져 왔다. 그러나 불명료한 유형의 선호정보를 허용할 경우 의사결정그룹이 원하는 대안의 명확한 선택이 보다 어려워진다. 따라서 추가적인 정보획득을 위한 의사결정자들과의 상호작용이 요구되지만, 이는 불명료한 선호정보를 허용하였던 초기의 취지를 반감시킬 뿐더러, 반드시 최적의 대안을 보장하는 것도 아니다. 이러한 상황을 타계하기 위하여, fuzzy majority의 의미를 반영하고 있는 linguistic quantifier를 활용함으로써 satisfying solution을 구하는 절차를 제시하였다. 이는 mathematical programming을 활용한 의사결정 기법과 다수의 객체를 집성하기 위한 개략적 해법을 결합한 접근방식이다.

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구매후 의복평가기준에 관한 연구-만족도, 상포태도, 재구매의도와의 관계를 중심으로- (A study of Post-purchase Clothing Evaluative Criteria: The Relationships Among Clothing Satisfaction, Brand Attitudes Repurchase Intention)

  • 여의재;이영선
    • 한국의류학회지
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    • 제20권6호
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    • pp.1027-1038
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    • 1996
  • The decision making procedure of consumer's post purchase is important because post purchase evaluation function is the physiological variables in repurchasing. The previous studies of post-purchase decision making showed that consumer compared the expectation of pre-buying with the performance of the product of post-buying. After consumers evaluates the products, consumer is satisfactory or dissatisfactory with products. And the satisfaction effects repurchase intention. The criteria which consumer didn't consider can be important to consumer after buying. Therefore the research problems are as follows; 1. To reveal the consumer's post-purchase clothing evaluative criterita and to indentify the dimensions of post-purchase clothing evaluative criteria. 2, To examine a causal model of the repurchase intention by post- purchase clothing evaluative criteria, satisfaction and brand attitude, A questionnaire was developed and administered 530 women living in Taejeon, and social daytime wear was selected as a clothing item for the study. Consumer's post-purchase clothing evaluative criteria were composed of six dimensions; Fit, Utility, Management, Transformation, Wearing/sewing, Esthetic factor. The main causal model of repurchase intention is that post-purchase clothing evaluative criteria - satisfaction - brand altitude - repurchase intention. Finally we found that the post-purchase clothing evaluative criteria were important because the repurchase intention depended on post-purchase clothing evaluation, too.

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텍스트마이닝 기반의 재난현장 응급의료시설 대상지선정 프로세스 연구 (A Study on the Site Selection Process of Field Emergency Medical Facilities Based on Text Mining)

  • 서상욱
    • 의료ㆍ복지 건축 : 한국의료복지건축학회 논문집
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    • 제24권2호
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    • pp.27-36
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    • 2018
  • Purpose: In the case of mass disaster, the establishment of temporary medical facilities for the first aid and treatment is required for the stable accommodation of patients caused by the disaster. However, the criteria for decision making related to the deployment of field emergency medical facilities are not specified. So, The purpose of this study is to draw considerable factors needed for the deployment of field emergency medical facilities and to make proposal for site selection process of field emergency medical facilities on the basis of the factor. Methods: This study performs text mining of disaster-related laws, guidelines and documents to derive key factors affecting site selection, also proposes a decision making process and conducts virtual deployment to validate the process. Results: The key factors for the site selection derived as the size of the damage, the size of the DMAT inputs, the location of available place, and distance to the disaster base hospital. As a result of virtual deployment following proposed decision making process, It is confirmed that the site of field emergency medical facilities is changed depending on the type of disaster, even if the scope of the disaster damage was the same. Implications: The deployment of field emergency medical facilities requires a separate criteria for each type of disaster, not uniform, as a future research a quantitative approach of the criteria needs to be performed.

빅데이터 패키지 선정 방법 (Method for Selecting a Big Data Package)

  • 변대호
    • 디지털융복합연구
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    • 제11권10호
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    • pp.47-57
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    • 2013
  • 빅데이터 분석은 데이터의 양, 처리속도, 다양성 측면에서 데이터 마이닝과 달리 문제해결과 의사결정을 위해서는 새로운 도구를 필요로 한다. 많은 글로벌 IT기업들은 사용하기 쉽고 기능성이 우수한 모델링 능력을 가진 다양한 빅데이터 제품을 출시하고 있다. 빅데이터 패키지는 분석도구, 인프라, 플랫폼 형태로 하드웨어와 소프트웨어를 포함한 솔루션이다. 빅데이터의 수집, 저장, 분석, 시각화가 가능한 제품이다. 빅데이터 패키지는 업체별로 제품 종류가 많고 복잡한 기능을 가질 뿐만 아니라 선정에 있어서 전문 지식을 필요로 하며 일반적인 소프트웨어 패키지보다 그 중요성이 높기 때문에 의사결정 방법의 개발이 요구된다. 본 연구는 빅데이터 패키지 도입을 위한 의사결정지원방법을 제안하는 것이 목표이다. 문헌적 고찰을 통하여 빅데이터 패키지의 특징과 기능을 비교하고, 선정기준을 제안한다. 패키지 도입 타당성을 평가하기 위하여 비용과 혜택 각각을 목표노드로 하는 AHP 모델 및 선정기준을 목표노드로 하는 AHP 모델을 제안하고 이들을 결합하여 최적의 패키지를 선정하는 과정을 보인다.

데이터기반 의사결정을 위한 정책 및 사업 속성 분류체계 개발 연구 (A Study on Development of Policy Attributes Taxonomy for Data-based Decision Making)

  • 김사랑
    • 한국정보시스템학회지:정보시스템연구
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    • 제29권3호
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    • pp.1-34
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    • 2020
  • Purpose Due to the complexity of policy environment in modern society, it is accepted as common basics of policy design to mix up a variety of policy instruments aiming the multiple functions. However, under the current situation of written-down policy specification, not only the public officers but also the policy researchers cannot easily grasp such frameworks as policy portfolio. The purpose of this study is to develop "Policy Attributes Taxonomy" identifying and classifying the public programs to help making decisions for allocative efficiency with effectiveness-based information. Design/methodology/approach To figure out the main scheme and classification criteria of Policy Attributes Taxonomy which represents characteristics of public policies, previous theories and researches on policy components were explored. In addition, to test taxonomic feasibility of certain information system, a set of "Feasibility Standards" was drawn from "requirements for well-organized criteria" of eminent taxonomy literatures. Finally, current government classification system in the area of social service was tested to visualize the application of Taxonomy and Standards. Findings Program Taxonomy Schemes were set including "policy goals", "policy targets", "policy tools", "logical relation" and "delivery system". Each program and project could be condensed into these attributes, making their design more easily distinguishable. Policy portfolio could be readily made out by extracting certain characteristics according to this scheme. Moreover, this taxonomy could be used for rearrangement of present "Program Budget System" or estimation of "Basic Income".

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

  • 차현철
    • 한국멀티미디어학회논문지
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    • 제23권9호
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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.

Multi-Criteria Decision Making Procedure under Incompletely Identified Preference Information

  • Ahn, Byeong-Seok;Kim, Jae-Kyeong;Kim, Soung-Hie
    • 한국경영과학회지
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    • 제23권3호
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    • pp.63-73
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    • 1998
  • The paper deals with interactive multiple criteria decision making procedure when decision maker (DM) specifies her or his preference in incomplete ways. Usually DM is willing or able to provide only incomplete information, because of time pressure and lack of knowledge or data. Under incomplete information on utility and attribute weight, the pairwise dominance checks result in strict or weak dominance values. Considering only strict dominance values sometimes fails to Prioritize alternatives because of fuzziness of preference information. Further there exists some information loss useful if used, otherwise. In this paper, we consider the outranking concept which implies the willingness of DM's taking some risk under the least favorable situation because she has enough reasons to admit the results. By comparing the magnitude of net preference degree of alternatives which is defined by difference between outrankings and outranked degree of each alternative, we can prioritize alternatives.

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Goal Setting in Multiple Criteria Decision Making

  • Lee, Jae-Kyu
    • 한국경영과학회지
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    • 제11권2호
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    • pp.51-68
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    • 1986
  • The effects of goal setting in the context of Multiple Criteria Making (MCDM) are classified into two types : internal and external. In the internal models, the impact of the changed goal is limited only to the other goals in MCDM model. By contrast, in the external models, the impact is limited to the factors not included in the MCDM model. In fact, most real world examples of goal setting have the nature of mixed models. To assist in the goal setting process, the framework named Goal Setting Support (GSS) is developed. The GSS helps decision-makers for mixed models to 1) make internal trade-offs in a way that guarantees non-dominancy after the trade-ofs, and 2) evaluate achieved goals systematically. The GSS can be used in creating Decision Support Systems that will allow interactive goal setting.

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TOPIS를 이용한 공급업체 선정과 최적주문량 결정 (Vendor Selection Using TOPSIS and Optimal Order Allocation)

  • 김준석
    • 산업경영시스템학회지
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    • 제33권2호
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    • pp.1-8
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    • 2010
  • A vendor selection problem consists of two different kinds of decision making. First one is to choose the best suppliers among all possible suppliers and the next is to allocate the optimal quantities of orders among the selected vendors. In this study, an integration of the technique for order preference by similarity to ideal solution (TOPSIS) and a multi-objective mixed integer programming (MOMIP) is developed to account for all qualitative and quantitative factors which are used to evaluate and choose the best group of vendors and to decide the optimal order quantity for each vendor. A solution methodology for the vendor selection model of multiple-vendor, multiple-item with multiple decision criteria and in respect to finite vendor capacity is presented.