• Journal of Environmental Policy
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• v.14 no.1
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• pp.33-52
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• 2015

The purpose of this paper is to analyze the sector-specific greenhouse gas reduction implementation strategies priority using the multi-criteria analysis methods (AHP and Feedback ANP). Our analysis demonstrates that the highest priority among the evaluation criteria is given to the feasibility compared to the efficiency and the effectiveness in most of the sectors. In the public and the building sectors, it has been found that the governmental driving force is absolutely crucial in technological dissemination and diffusion. The results and the main findings are as follows. Firstly, the priority of the policy evaluation criteria has been changed by analysis methods. Secondly, the total weight and the priority of each sector's alternatives also have been changed. Finally, the priority of the alternatives for criteria has been changed by the analysis methods.

• Journal of Technology Innovation
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• v.22 no.4
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• pp.145-164
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• 2014

Nuclear fusion is one of the most promising options for generating large amounts of carbon-free energy in the future. Major countries such as China, EU, and Japan have established a national plan for DEMO construction and they are implementing it. Korea has started a nuclear fusion research and development by the KSTAR project started in 1995. There are matured needs for a full-scale research and development initiatives to ensure competition with the major countries for DEMO as well as achieve the final goal to commercialize fusion energy. In this paper, we apply the TRL and AHP methods in order to identify the key technologies to conduct DEMO R&D. We propose the priorities of future R&D on DEMO by deriving a core technology in the field. At first, we review the scientific theory of fusion and trend of progress of DEMO activities in major countries. For previous studies, we review TRL and AHP methods to examine the technology classification system of DEMO and identify key technologies. We apply TRL method to identify readiness level of DEMO technologies and AHP to compensate shortcoming of TRL. The key technologies of DEMO to be secured from a synthesis result of the TRL and AHP are burning plasma, plasma facing material, structural material, high frequency heating, neutral particle beam, safety, plasma diagnostic, and simulation technologies.

• Proceedings of the KAIS Fall Conference
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• 2008.05a
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• pp.60-62
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• 2008

AHP 기법을 통해 도출된 결과에 대하여 개별 계산 방법과 그룹 계산 방법을 통해 정확성을 검증하였다. 일반적으로 AHP 기법을 사용하여 가중치를 도출하지만 일관성 확인은 되지만 결과 값의 검증은 하지 못하고 있다. 본 연구에서는 이러한 문제점을 엑셀을 통해 확인하는 과정을 제시하였다.

• Korean Management Science Review
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• v.29 no.3
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• pp.45-65
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• 2012

Test and evaluation of weapon system is an important task to evaluate the performance of overseas weapon system purchasing project. Especially, quantitative evaluation of performances is hardly completed in defense projects where multiple criteria are conflicted each other. In order to solve this problem, we apply Axiomatic Design (AD) and Inner Dependence AHP method. First, finite functional requirements (FRs) are categorized in hierarchy structure by selecting proper design parameters (DPs) to implement their corresponding FRs. If there are no ways to select DPs when design is coupled between FRs and DPs, then inner dependence is allowed to overcome the strict rule of independence in AHP. Second, the weights of DPs are calculated by applying both Inner Dependence AHP method for coupled design and normal AHP method for uncoupled or decoupled design. Finally, information axiom of AD is applied to the proposed weapon systems by calculating information contents for all parameters. Weapon system with minimum sum of information contents is considered as the best solution. The proposed method in this study should be used in multiple criteria decision making problems involving various conflicting criteria.

• Journal of Korea Port Economic Association
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• v.21 no.1
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• pp.133-151
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• 2005

The purpose of this paper is to investigate the international competition power between Korean ports and Chinese ports according to the port efficiency scores of DEA(Data Envelopment Analysis) by newly introducing the priority vector of AHP(Analytic Hierarchy Process) to the DEA method. Empirical analysis shows the followings: First, there was not big changes of DEA rankings when we use the input-oriented CCR and BCC models after introducing the AHP priority vectors to the input variables. Yantian Port's competition power was declined, but that of Busan Port was up in the BCC model. Second, there was some changes of DEA rankings when we use the output-oriented CCR and BCC models after introducing the AHP priority vectors to the output variables. Rankings of Dalian, Qingdao, Shanghai Ports were up. But Shekou, Yantian Ports showed the declined ranking position in the CCR model. In the BBC model, rankings of Shanghai and Busan Ports were up. But those of Shekou and Yantian Ports were declined. The main policy implication based on the findings of this study is that The Ministry of Maritime Affairs & Fisheries in Korea and China should introduce AHP and DEA approaches when they measure the international competition power by using the porrt efficiency scores of DEA.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.421-426
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• 2024

The Analytic Hierarchy Process (AHP) converts people's judgment criteria into objective numerical values using pairwise comparisons. However, the need for an excessive number of pairwise comparisons poses a problem. To mitigate this issue, most existing studies have utilized the process separation approach. The method of process separation devised in this study is a "separation and integration approach," where 1) the standard AHP process is used for evaluating judgment criteria, and 2) the Multi-Attributive Utility Technique (MAUT) is applied for comparing alternatives. This AHP-MAUT Hybrid model was applied to a real analysis case, specifically analyzing the transportation choices of commuters between Bundang and Gangnam Station in Gyeonggi Province. The results showed that the computational process was reduced by 42.03% when applying the Hybrid model compared to using the AHP model alone. Furthermore, the choice results of residents using the Hybrid model were compared with those using the standard AHP. The consistency between the two models' choices was 82.1%, indicating a significant level of consistency. In conclusion, this study contributes by presenting a simpler, more convenient, yet equally effective Hybrid model as a new decision-support system alternative to AHP.

• Proceedings of the ESK Conference
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• 1998.04a
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• pp.93-98
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• 1998

Recently, consumers are tend to purchase the user-centered designed product using interface enginnering and human factors techniques. Therefore, it is important that the designer's requirements should be analyzed focused on the human machine interface. This paper described the interface usability evaluation technique(suvjective evaluation) for the interface between user and product. This methodology is the integrated interface usbility evaluation method AHP and Conjoint Analysis. AHP(Analytic Hierarchy Process) is a multicriteria decision model to give priority after expressing hierarchically for decision making problem. Conjoint Analysis enduavors to unravel the value, or partworths, that consumers place on the product or service's attributes from experimental subjects' evluation of profiles based on hypothetical products or services. A new usability test methodology proposed by this paper includes techniques jointed both consistency test by AHP and experimental subjective evaluation of profiles by Conjoint Analysis for evaluating the user's emotion and impression.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.04a
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• pp.437-440
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• 2000

본 연구에서는 제품 개발과 관련된 시장 환경 요소들을 고려하여 신속한 제품 개발에 관한 의사 결정을 할 수 있는 AHP 모형을 제안하고, 정량화 된 데이터를 이용한 AHP 의사결정 프로세스를 구축하고자 하였다. AHP 모형의 경우 전문가 집단(연구원 집단, 엔지니어 집단, 판매자 집단)별로 의사결정의 차이점을 보여 줌으로서 각각의 시장 상황에 맞는 의사결정을 경영자가 효율적으로 판단할 수 있도록 제시하였으며, 신제품 디자인 선정의 간단한 프로세스를 제시하여 반복적인 생산자의 의사 결정을 합리적이고 신속하게 할 수 있는 방법론을 제시하였다. 프로세스에서는 하위 의사결정 단계에서 가능한 데이터의 정량화를 통해 쌍별 비교 행렬을 만듦으로써, AMP기법의 정확성을 높이고 모델의 민감도 분석이 가능하게 하였다.

• Journal of the Korea Safety Management & Science
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• v.6 no.3
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• pp.275-285
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• 2004

This paper aims to construct an effective decision making model on selection of product design in product development using fuzzy AHP technique. It is expected that this paper contributes to enhancement of company's market competitiveness by shortening the lead time to develop a new product and minimize initial investment. The proposed model using fuzzy AHP enables quick decision making by integrating and analyzing all customer requirements related to a product. In addition, it can deal with vagueness and uncertainty of decision making process using fuzzy set theory. Decision making processes for evaluating the best selection of product design are also constructed to describe the exact concept of development. A tennis racket is shown as an example. The proposed model is expected to be applied in various fields of managerial decision making processes as well as of product development process.

• Journal of Digital Convergence
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• v.10 no.11
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• pp.681-689
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• 2012

This study shows that the policy directions to invigorate smart education for special education based on the view of special education teachers through AHP methodology. The result shows that development of smart contents, supporting for teaching and learning, smart education networking, establishment of legal foundation and supporting for infrastructure are relatively important policy ordered by weights. The analysis indicates that the contents development policy should be strategic direction for smart education in special education.