• Proceedings of the Technology Innovation Conference
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• 1999.06a
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• pp.245-265
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• 1999

MAUT and AHP are widely used for quantification of subjective judgements in various fields of decision making. This study focuses on the introduction and application of MAUT/AHP method which is a hybrid of MAUT and AHP techniques in R&D project priority setting. This hybrid model can clarify each factors' contribution using MAUT method and can reduce the number of pairwise comparisons of AHP method. This study applies AMUT/AHP method to the evaluation of R&D projects in a Government - funded research institute. To evaluate R&D projects, six evaluation factors are derived. SMART(Simple MultiAttribute Rating Technique) and DVM(Difference Value Measurement ) out of many MAUT methods are used to design the utility function ad AHP is used to allocate the weights among evaluation factors. The major findings of this study can be summarized as follows. First, the SMART/AHP and the DVM/AHP have the same results with the SMART and the DVM, and they are different results with AHP. It is very hard to decide which one is better. Second, MAUT/AHP's strength is analyzed. MAUT reflects utility values of evaluators to alternatives and AHP results objective and consistent weights of factors through pariwise comparisons. Third, its possible application fields are proposed. It is applicable to subjective decision making problems with high complexity and inter-independent factors.

• Journal of Korea Technology Innovation Society
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• v.2 no.2
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• pp.201-218
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• 1999

The article contains an introduction of possibility of applying Multi-Attribute Utility Theory(MAUT) for priority setting of R&D projects. MAUT is compared with AHP, which is widely used recently. These two techuiques are applied to set priorities of R&D projects In a Government-funded Research Institute. Six criteria are chosen from consultation with decision makers. They are composed of 1) validity as representative projects, 2) possibility of resource mobilization, 3) spillover effect of developed technologies, 4) possibility of success, 5) scope of participation and 6) clarity of research goal. To set priorities of R&D projects, SMART(Simple MultiAttribute Rating Technique) and DVM(Difference Value Measurement) out of many MAUT methods are used to design the utility function and to determine the weights among criteria. The aggregation model is additive on the assumption the criteria are independent. AHP executes pairwise comparisons for criteria and alternatives. From the results of the case study, the results and theoretical characteristics are compared.

• Journal of Korea Technology Innovation Society
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• v.4 no.2
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• pp.143-156
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• 2001

Technology evaluation is one of the key issues in discussions on the development of evaluation methods. This paper deals with some methods for the evaluation of new energy technologies, which were appraised by MAUT from various outlooks: economics, environment, and resource saving. MAUT is considered to be the proper method for evaluating the next generation energy technology, since it can evaluate alternatives that comprise basic criteria. This paper analyzes a priority order of 13 new energy technologies selected by groups of energy technology experts through two steps. Converted utility technology shows the highest value in economics.

• Proceedings of the Korea Society for Energy Engineering kosee Conference
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• 2001.05a
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• pp.197-204
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• 2001

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.1
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• pp.104-115
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• 2010

Development of the system which provides services using diverse sensors is expanding due to the widespread use of ubiquitous technology, and the research on the security technologies gaining attention to solve the vulnerability of ubiquitous environment's security. However, there are many instances in which flexible security services should be considered instead of strong only security function depending on the context. This paper used Fuzzy algorithm and MAUT to be aware of the diverse contexts and to propose context-aware security service which provides flexible security function according to the context.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.11a
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• pp.229-232
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• 2003

This study discusses the strengths and weaknesses of MAUT, AHP, and PROMETHEE as multicriteria decision making aids with respect to their underlying assumptions and axioms, and suggest the usefulness and limitations of PROMETHEE as a outranking method. For the demonstration purpose, we provide a numerical example to evaluate 3 domestic life insurers using PROMETHEE.

• 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.

• Environmental and Resource Economics Review
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• v.15 no.3
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• pp.451-477
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• 2006

At the "Dissemination Stage", the newly configured technical design is compared with other alternatives to come up with the most desirable selection. The assessment conducted at this stage is not a simple procedure. It goes through the complex evaluation process in which various elements including economic effects and technical characteristics are considered. The reason for taking such a complex procedure is that the assessment, selection and application of the desirable technical alternative is critical for the company's competitive edge in every field of industrial sectors, thus influencing its survival and continuous growth. This study reviews the MAUT method for assessing technical alternatives of the thermal supply system design. And, to show the practical validity of the MAUT method, it is applied to the evaluation of thermal supply system alternatives in the field of energy supply system technology.

• Ocean and Polar Research
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• v.33 no.3
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• pp.223-233
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• 2011

The Korean government has acknowledged the importance of Dokdo Island and has consequently taken various measures for the effective management of it. There has, however, been little quantitative information about the value of Dokdo Island and this study, therefore, attempts to assess the Islands non-market value. To this end, this study estimated the non-market value by MAUT/CVM. The non-market value estimated by MAUT/CVM includes historic value, military value, ecological value, and geological value. According to the results, the values calculated by the price in market is about 10.37 trillion won and the values estimated by MAUT/CVM is about 1.72 trillion won annually.

• Proceedings of the SAREK Conference
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• 2008.06a
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• pp.231-236
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• 2008

The purpose of this study is to develop assessment model for selection of new DSM investment programs. In this research, MAUT method which find assessment value by each attributes related to selecting new DSM investment programs using utility function and integrate with structural frame was used to develop assessment model. In order to validate the usefulness of the model, assessment model was applied for actual candidate group of new DSM investment programs in natural gas domain. By utilize this assessment model to select new DSM investment programs, it is expected to minimize risk of new program launching and to maximize efficiency of DSM investment programs.