• 대한교통학회:학술대회논문집
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• 대한교통학회 1999년도 제35회 학술발표회 논문집
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• pp.55-73
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• 1999

지금까지의 교통사업 평가 및 대안선정을 위한 평가 방법은 주고 경제성 평가에 치중하여 왔다. 또한 정부 및 공급자 외에 지역주민이나 이용자 등의 의견은 공청회등을 통한 의견 수렴을 제의하고는 계획 및 평가단계에서의 참여는 제도적으로 없는 실정이다. 이에 따라 적지 않은 수의 교통계획 및 대안 선정 사업들이 제반 평가요인에 대한 불충분한 고려와 또한 지역주민들의 반대에 부딪혀 취소 또는 재고되고 있다. 따라서 교통 계획 및 평가 단계에서의 관련 의사결정자의 제도적 참여를 가능케 하고 사업과 관련된 제반 평가 요인을 평가틀 내에서 고려할 수 있는 다 판단 기준분석 평가방법 (Multiple Criteria Decision Making Methods: MCDM)이 대두, 요구되고 있으며, 본 연구에서는 제 방법 중 순위 선정 및 제반 평가요인의 고려에 장점을 가지고 있는 계층 분석법을 이용하여 교통사업의 대안선정에 있어 최적노선을 평가 선정하고자 한다. 본 사례를 통하여 다판단 기준 분석 평가방법의 도입 필요성 및 교통사업평가에의 유용성 및 적용성을 제시하고자한다.

• 대한산업공학회지
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• 제22권4호
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• pp.589-605
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• 1996

Recycling of used products and components has been considered as one of promising strategies for resolving environmental problems. In this respect, most manufacturing companies begin to consider possible recycling (e.q., reuse or re-production) of the components contained in their products. The primary objective of this research is to develop a multiple criteria decision making model for systematic management of recycle-oriented manufacturing components. The production planning problem of recycle-oriented manufacturing components is first formulated as a multiobjective mixed 0-1 integer programming model with three conflicting objectives. An interactive multiple criteria decision making method is then developed for solving the mathematical model. Also, an Input/Output analysis software is developed to help practitioners apply the model to real problems without much knowledge on computers and mathematical programming. A numerical example is used in examining the validity of the proposed model and to investigate the impact of the input variables on recycling production strategy.

• 디지털융복합연구
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• 제11권1호
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• pp.121-127
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• 2013

WTO 출범과 미국 및 EU와의 FTA로 의해 국제적으로 농산물 교역은 자유화되었으며 외국의 저렴한 농산물이 국내시장에 상당한 영향을 미치고 있다. 이러한 환경 하에서 우리나라 농업은 영세한 구조로 인해 농가소득의 장기적이고 안정적인 수익창출에 어려움을 겪고 있다. 본 연구는 무역자유화 및 FTA로 인한 시장개방에 따른 급속한 농산물 교역시장의 경쟁구도 하에서 우리나라 수출농업 활성화를 위해 토마토를 대상으로 최적의 토마토 수출 생산자를 결정하기 위한 새로운 다기준 의사결정 모델을 제안하고자 한다. 이를 위하여 본 연구에서는 2단계 의사결정 모델을 개발하는데, 먼저 전국의 토마토 생산자가 너무 광범위하므로 예비 토마토 수출 생산자 선정을 위한 1차 계층 모델을 수립하고, 최적의 토마토 수출 생산자 선정을 위한 2차 상세 계층화 모델을 수립하였다. 본 연구에서는 다기준 의사결정의 대표적인 기법인 AHP 기법을 적용하여 평가요인간의 중요도를 결정하고 이를 토대로 하여 최적의 토마토 수출 생산자를 선정하였다. 궁극적으로 본 연구방법 및 결과는 토마토뿐만 아니라 국내 농산물의 해외수출시 수출업자가 적합한 농산물 생산자를 선정하는데 체계적이고 효율적인 의사결정 방법론으로 활용될 수 있을 것이며, 이는 수출경쟁력 향상에도 도움이 될 것으로 기대된다.

• 품질경영학회지
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• 제31권4호
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• pp.150-163
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• 2003

The purpose of this paper is to propose an interactive method using the concept of Signal­to­Noise (SN) ratios and cutting ranges for selecting the most preferred alternatives of Multiple­attribute Decision­Making(MADM) with the­smaller­the­better or the­larger­the­better characteristics. In this method the decision makers could make a grouping of attributes by their priorities. This research is based on the assumption of an equality between the attributes of MADM with the characteristics of Taguchi method. As a result, this interactive method could transform the characteristic value of Taguchi method into the size of SN ratios which are relatively easy to understand by decision makers.

• 산업경영시스템학회지
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• 제26권4호
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• pp.72-81
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• 2003

The purpose of this paper is to propose an interactive method, which is designed to select the optimal preferred alter-native for the MLDM(Multiple-the Larger-the better type Decision-Making) problems with the-larger-the-better quality characteristics. The basic idea of the paper is essentially to eliminate inefficient alternative based on the concept of Taguchi Signal-to-Noise ratios and the cutting range instead of using UVF(Utility/value Function) on the group of attributes that can be considered importantly by the decision makers. As a result, the method proposed in the paper for MLDM problems can be significant in that the change of characteristics is transformed into the size of Signal-to-Noise ratio, which can be relatively easy to understand by decision makers.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -2
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• pp.838-840
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• 2002

Presently, Analytic Network Process which evaluates man's intention and offers decision-making support is capturing the spotlight. It originates in the ability of Analytic Network Process to treat various decision-making support system. However, no detailed reference is available when dealing with the group case. This paper examines the technique, which can also cope with the group decision-making support system, and describes the validity of the technique. A characteristic feature of the proposed technique is that it can detect a group's intention in a given section, and it decomposes the sectional supermatrix into a small supermatrix and a large one. A general supermatrix treats the convergence value by taking the limiting process method of the power of an evaluation value. On the other hand, when a supermatrix has nonnegative value, it can easily be solved by the eigenvector method. The decomposition of the supermatrix has been considered in this work.

• 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.

• 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.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제14권3호
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• pp.181-187
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• 2014

Dealing with uncertainty is always a challenging problem. Intuitionistic fuzzy sets was presented to manage situations in which experts have some membership and non-membership value to assess an alternative. Hesitant fuzzy sets was used to handle such situations in which experts hesitate between several possible membership values to assess an alternative. In this paper, the concept of intuitionistic hesitant fuzzy set is introduced to provide computational basis to manage the situations in which experts assess an alternative in possible membership values and non-membership values. Distance measure is defined between any two intuitionistic hesitant fuzzy elements. Fuzzy technique for order preference by similarity to ideal solution is developed for intuitionistic hesitant fuzzy set to solve multi-criteria decision making problem in group decision environment. An example is given to illustrate this technique.

• 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".