• Journal of the Korean Society of Marine Environment & Safety
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• v.2 no.1
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• pp.97-106
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• 1996

One of the main problems in evaluating complex objects, such as an ill-defined system, is how to treat ambiguous aspect of the evaluation. Due to the Complexity and ambiguity of the objects, many types of evaluation attributes should be identified based on the rational dsision. One of these attributes is an analytical hierarchy process (AHP). the weight of evaluation attribtes in AHP however comes from the probability measure based on the additivity. Therefore, it is notapplicable to the objects which have the property of non-additivity. In the previous studies by other researchers they intriduced the Hierarchical Fuzzy Integral method or mergd AHP and fuzzy measure for the analysis of the overlaps among the evaluation objects. But, they need more anlyses in terms of transformation of the probability measure into fuzzy measure which fits for the additivity and overlapping coefficient which affects to the fuzzy measure. Considering these matters, this paper deals that, ⅰ) clarifying the relation between the fuzzy and probability measure adopted in AHP, ii) calculating directly the family of fuzzy measure from the overlapping coefficient and probability measure. A simple algorithm for the calculation of fuzzy measures and set family of those from the above results is also proposed. Finally, the effectiveness of the algorithm developed by applying this to the problems for estimation of safety in ship berthing and for evaluation of ports in competition is verified. This implied that the new algoritnm gives better description of the system evaluation.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.590-594
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• 2004

본 연구는 통합의사결정지원시스템을 위한 3-단계 모델과 이를 사용자가 쉽게 활용할 수 있도록 웹 기반의 전산 프로그램을 개발하고 응용 사례를 들어 보았다. 의사결정문제의 대안 선정, 대안을 평가시스템 및 여러 평가 위원들의 평가 결과를 종합하는 문제들을 포함하였으며 AHP(Analytic Hierarchy Process) 방법과 Fuzzy AHP방법을 활용하여 평가구조 평가인자 구성 및 각 가중치 등 개관적인 방법을 사용하였다. 이러한 3단계의 통합의사 결정방법은 1) Brain storming 단계서 대안 및 평가구조를 도출하고, 2) AHP 및 Fuzzy-AHP 방법으로 각 대안을 평가하여 의사 결정의 기반을 삼으며, 3) 여러 평가자들의 평가 결과를 합리적으로 통합하여 최선의 대안을 도출하는 방법이다.

• Journal of Digital Convergence
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• v.18 no.1
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• pp.301-307
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• 2020

In recent years, a recommendation system is introduced in many different fields with the beginning of the 5G era and making a considerably prominent appearance mainly in books, movies, and music. In such a recommendation system, however, the preference degrees of users are subjective and uncertain, which means that it is difficult to provide accurate recommendation service. There should be huge amounts of learning data and more accurate estimation technologies in order to improve the performance of a recommendation system. Trying to solve this problem, this study proposed a movie recommendation system based on Fuzzy-AHP and Word2vec. The proposed system used Fuzzy-AHP to make objective predictions about user preference and Word2vec to classify scraped data. The performance of the system was assessed by measuring the accuracy of Word2vec outcomes based on grid search and comparing movie ratings predicted by the system with those by the audience. The results show that the optimal accuracy of cross validation was 91.4%, which means excellent performance. The differences in move ratings between the system and the audience were compared with the Fuzzy-AHP system, and it was superior at approximately 10%.

• Knowledge Management Research
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• v.19 no.2
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• pp.109-132
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• 2018

Recently, new financial services related to FinTech has gained attention more and more. Online P2P financial services transactions such as FinTech require careful examination of the constituents of information systems as an investment is made based on the information presented on the online platform without direct face-to-face contact. The purpose of this study is to find out the success factors of online P2P Lending service among FinTech. To serve the purpose, we build IS (information system) success model, and then use Kano model and fuzzy analytic hierarchy process (Fuzzy-AHP) to find out factors for the success of online P2P Lending service. In particular, this study uses Kano model to classify information system satisfaction factors and to calculate the satisfaction coefficient. The Kano model, however, has a drawback of evaluating single criterion. Therefore, we use multi-criteria decision-making technique such as Fuzzy-AHP to derive the relative importance of the factors. The analysis results show different results depending on the analysis technique. In the Kano model, most of the information system factors are a one-dimensional quality attribute. The satisfaction coefficient is highest for personalized service, followed by the responsiveness of service, ease of using a system, understanding of information, usefulness of information' reliability. The service reliability is the highest in dissatisfaction coefficient, followed by system security, service responsiveness, system stability, and personalized service. The results of the Fuzzy-AHP analysis shows that the usefulness of information quality, the personalization of service quality, and the security of system quality are the significant factors and the stability of system quality was a secondary factor.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.461-468
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• 2017

The current available recommendation systems for mobile games have a couple of problems. First, there is no knowing whether they make a pattern recommendation for games that actual users prefer or for games that they are simply interested in. It is also impossible to know the subjective preference of users in a direct manner. An AHP(Analytic Hierarchy Process)-based recommendation system for mobile games was thus developed to reflect the subjective preference of users directly, but it had its own problem since the degree of preference could vary among users in spite of the same scale for their preferable items. In an effort to solve those problems, this study implemented a recommendation system for mobile games by applying triangular fuzzy numbers of the Fuzzy-AHP technique and the independence of evaluation items in the Bayesian Network. The findings show that the proposed recommendation system recorded the highest accuracy of recommendation results and the highest level of user satisfaction.

• Journal of the Ergonomics Society of Korea
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• v.27 no.2
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• pp.15-24
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• 2008

As users increasingly recognize the importance of safety and the Product Liability comes into effect, a company should take responsibility of protecting the users who use its product. In order to produce a safe product and satisfy the needs of users, it is critical for develope opriately and understand the characteristics of the product accurately. Furthermore, a safe product can be realized by considering a safety level of the product in a whole product development process. However, in general, product development projects hardly evaluate the safety of a product in the product planning step. In addition, most of safety evaluation methods which are applied in the product planning step have a tendency to be qualitative because a detailed product design step. Therefore, this research aims at enhancing the performance of the safety evaluation process by applying quantitative methods such as 'AHP' and 'Fuzzy'. AHP can help analysts derive the weight of safety factors. Fuzzy is applied to evaluate the degree of safety of product elements in this paper. The proposed method will be able to improve the safety level of a product by using the quantitative methods in the product planning step.

• IE interfaces
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• v.22 no.1
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• pp.26-37
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• 2009

BPM(Business Process Management) secures the agility of an enterprise through automation, integration, and optimization of business process. For the successful BPM introduction, the evaluation and selection of suitable processes for BPM are very important. But as to process evaluation and selection standards, in fact, various selection elements exist and they have to be considered. Therefore, it is very difficult to evaluate systematically and reasonably business processes for enterprises or concerned persons that plan to introduce BPM. This paper describes a Web-based business process evaluation model for BPM using BSC(Balanced Scorecard) and fuzzy AHP(Analytic Hierarchy Process). A Web-based business process evaluation system was implemented based on this and it provides many useful business process evaluation results to enterprises or concerned persons that have insufficient experience and knowledge about BPM, and initially plan to implement BPMS(Business Process Management System). Thus, this paper demonstrates the applicability of fuzzy AHP concept in business process evaluation and selection for BPM, and provides a systemic guidance in the decision-making process.

• Journal of the Korea Safety Management & Science
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• v.14 no.3
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• pp.119-126
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• 2012

Recently, the breakdown of online banking servers and the leakage of customer information give rise to much concern about the security of information systems in financial and banking companies in Korea. The enforcement of security for information system becomes much more important issue than earlier. However, the security reinforcement of information system is restricted by a budget. In addition, the activities' cost to secure information system from threatening are under uncertain circumstances and should be established by a human decision maker who is basically uncertain and vague. Thus, making the budget for information system is exposed to any extent of the risk for these reasons. First, we introduce brief fuzzy set theory and fuzzy AHP (Analytic Hierarchy Process) methodology. Then, the cost elements that comprise yearly budget are presented and the priorities among the cost elements are calculated by fuzzy AHP. The cost elements that are exposed to risk are evaluated from the both perspectives of the risk impact and risk occurrence possibility which are expressed as linguistic terms. To get information on the risk profiles-pessimistic, most likely, and optimistic-for each cost element, the evaluation is accomplished and the result is presented. At last, the budget ranges-minimum, mode, maximum-for each cost element are estimated with the consideration of the risk profiles.

• Journal of Navigation and Port Research
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• v.44 no.4
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• pp.319-325
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• 2020

The Korean government has been pursuing many supporting programs to enhance the competition of water transportation companies in recent years. To implement the policies effectively, which needs its monitering and evaluates about their business performance. The purpose of this study was to evaluate the business performance of water transportation company groups and determine the outranking between the groups using the Integrated Fuzzy AHP-PROMETHEE.. To achieve this purpose, first, the companies were classified into seven alternative company groups and the criteria for their evaluation was extracted Second, the weights of the criteria, by maritime and port expert survey, were calculated using the Fuzzy AHP. This paper, finally, determined the total priority orders of their company groups as the link Fuzzy PROMETHEE II with weights of the criteria and the local priority orders between them using the Fuzzy PROMETHEE I. In the proposal for this model, thus was collected four criteria such as growth ability, beneficial ability, technical ability, and productive ability. Through the result of this evaluation, the other marine transportation services group was determined as the highest outranking but the inland passenger & cargo transportation services group was lowest. Thus, the developing plan of the productive ability for the other marine transportation services group should be reviewed to continue its good performance, and all off the criteria for the inland passenger & cargo transportation services group to raise the performance should be reviewed.

• New & Renewable Energy
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• v.4 no.1
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• pp.19-24
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• 2008

Energy environment has been changing rapidly such as high oil prices and the effectuation of UNFCCC. Oil prices have continued to rise and Dubai crude prices recorded about 90 dollars per barrel in 2007. In addition, the effectuation of UNFCCC will affect Korean economy and national energy security. Korea is the 9th $CO_2$ emissions country and takes the 1st place related to the increase rate of $CO_2$ emissions globally. Energy technology development is a key breakthrough and one of the optimal alternatives to cope with national energy security. In this study, we prioritize energy technologies in the sectors of high oil prices and UNFCCC related to ETRM for well focus R&D and efficiency of finite resources allocations. We applied to the extended method of AHP, fuzzy AHP reflecting the fuzziness of human thoughts and perception, for prioritizing the relative importance among energy technologies in ETRM for the first time as we make an energy policy in Korea.