• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2000년도 추계학술대회 학술발표 논문집
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• pp.23-27
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• 2000

In this paper, we propose an emotional evaluation model based on information fusion. This model can transform the physical features of a color pattern to the emotional features. Our proposed model consists of the fuzzy logic system and neural network model. The evaluation values produced by them were fused. The model shows comparable performances to the neural network and fuzzy logic system for the approximation of the nonlinear transforms. We believe the evaluated results of a color pattern can be used to the emotion-based color image retrievals.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제4권2호
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• pp.138-153
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• 2010

The interactions between people who do not know each other have been greatly increased with the on-going increase of people's cyberspace activities. In this situation, there exist potential risk factors such as the possibility of fraud, so we need a method to reduce or eliminate those risk factors. Concerning this necessity, rating systems are widely used, and many trust metrics calculated from rate values that people give to each other are proposed to help them make decisions. However, the trust metrics decrease the accuracy, and this is caused by the different rating scales and ranges of each person. So, we propose a fuzzy adjustment method to solve this problem. It is possible to catch the exact meaning of the trust value that each person selects through applying fuzzy sets, which improve the accuracy of the trust metric calculated from the trust values. We have applied our fuzzy adjustment method to the TidalTrust algorithm, a representative algorithm for calculating the local scalar trust metric, and we performed an experimental evaluation with four data sets and three evaluation methods.

• 디지털융복합연구
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• 제14권7호
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• pp.363-371
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• 2016

벤처기업의 기술혁신을 위한 기술력 평가는 급변하는 기업환경, 평가시 사용하는 언어의 모호성과 애매성, 평가지표의 부정확성을 고려해야 한다. 본 논문에서는 벤처기업의 대표적인 정성적 평가요인인 흡수역량 및 기술적 기업가정신을 대상으로 다기준 의사결정법인 Fuzzy-AHP를 적용하여 요인의 중요도와 우선순위 및 동적역량을 산출하는 ACTEM(Absorption Capacity and Technology Entrepreneurship Monitor) 모델을 제안하였다. 평가척도가 되는 요인에 대한 가중치 산출은 퍼지이론을 도입하여 인지적 판단의 애매성을 보완하고, 기존의 기술력 평가 측정에 관한 연구에서 고려하지 않은 흡수역량과 기술적 기업가정신 및 동적역량에 대한 평가 기준들을 제시함으로써, 현실적인 대안을 선택하는 것이 가능하도록 하였다. ACTEM 모델을 기존의 AHP 평가방법과 비교한 결과, 흡수역량에서는 '지식획득', 기술적 기업가 정신에서는 '제품화 능력'이 가장 높게 나오는 등의 타당성을 검증할 수 있었다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 1998년도 창립기념 춘계학술대회 논문집
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• pp.184-193
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• 1998

The existence of railroad line gives many influences in various kinds of aspects. To minimize negative influences is necessary to line's improvement, but appropriate methodology doesn't show until now. In this study, Fuzzy Integration Method(FIM) are employed in an effort to give ranking for railroad line's improvement in Seoul. The FIM is designed to generalize a various influences, appeared on account of existence of railroad line. Empirical analysis is performed for railroad line in distance of 83.5㎞ in Seoul. The total lines are divided in 51 sections, and there are selected a 11 evaluation index to reflect influences. Through a questionnaire survey about residents, operator and administrator, important degree of evaluation items are decided, reveal ins the interests of related groups. Then, evaluation values are calculated wi th practical survey results about each sections. The results of evaluation reveal that the higher ranking of improvement from FIM concentrates the Kyeng-Ul Line and Kyeng-Won line because these lines appear a many public discontents and negative influences such as noise and demolition of living environment.

• 품질경영학회지
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• 제20권1호
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• pp.107-117
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• 1992

Conventional fault tree analysis has several problems as the estimations and tolerances of the failure probability values. To overcome these problems, fuzzy concepts with natural language can be applied to conventional fault tree analysis. And, we propose the evaluation method of the imprecision of top/basic events and possibility importances of basic events.

• Journal of Information Processing Systems
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• 제15권3호
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• pp.655-669
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• 2019

Supplier evaluation is of great significance in green supply chain management. Influenced by factors such as economic globalization, sustainable development, a holistic index framework is difficult to establish in green supply chain. Furthermore, the initial index values of candidate suppliers are often characterized by uncertainty and incompleteness and the index weight is variable. To solve these problems, an index framework is established after comprehensive consideration of the major factors. Then an adaptive weight D-S theory model is put forward, and a fuzzy-rough-sets-AHP method is proposed to solve the adaptive weight in the index framework. The case study and the comparison with TOPSIS show that the adaptive weight D-S theory model in this paper is feasible and effective.

• 한국식품과학회지
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• 제26권6호
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• pp.776-780
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• 1994

쌀밥의 관능검사 결과분석에 퍼지추론을 적용하였다. 관능검사시 쌀밥의 관능적 요인인 조직감, 맛, 냄새 및 외관이 각각 쌀밥 기호도의 결정에 역할하는 정도(기여도)를 매우중요, 요, 보통, 경시, 매우경시의 택일으로서 평가하도록 하였으며, 주어진 쌀밥 시료에 대하여 각관능척 요인의 기호도를 매우우량, 우량, 보동, 불량, 매우불량의 택일로서 평가하도록 하였다. 퍼지추론 과정으로 먼저 전체기호도에 대한 일반적인 관능적 요인의기여도를 추론하고, 시료에 대한 관능적 요인의 기호도틀 추론된 기여도와 퍼지합성하여 결과적으로 전체기호도를 추론하였다.

• 대한안전경영과학회지
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• 제10권1호
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• pp.91-105
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• 2008

Nowadays, circulation industry is taking charge of important role in improvement of competitive power on the manufacturing industry and public welfare increase of consumer, price stabilization, employment creation and so on. A lot of research have been progressing for formation of total circulation complex, but decision making for selection of location on some facility is only calculated the optimum value when correct data values are inserted. However, a lot of decision making is accomplished in situation that have little knowledge of objective and constraints and as real world is also evaluated inclusive of analyst's subjectivity about variable, indefinite and fuzzy part, so it is decreasing a reliability on evaluation result and complicating objective evaluation on various effect and negative impact. Accordingly, from under like this situation, this study is to develop location decision model of circulation complex using fuzzy theory from the intention for the most reasonable decision making in fuzzy situation based on decision making problem on conventional location and size decision that did to be satisfactory constraints necessarily.

• 한국컴퓨터산업학회논문지
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• 제8권3호
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• pp.147-154
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• 2007

각 급 학교에서는 학습이 끝난 후에 실시하는 총괄평가의 결과만으로 학습평가를 하고 있는데 이러한 평가 방식은 학습자의 학습능력의 형성과정을 고려하지 않는 결과위주의 학습평가로 볼 수 있다. 또 기존의 학습평가는 학습 수행능력을 판정하기 위한 진단평가와 학습능력의 향상 정도를 측정하기 위한 형성평가를 각기 개별적으로 수행하여 평가하기 때문에 학습 수행능력을 보다 명확하게 처리하기 곤란한 점이 있다. 따라서 본 논문에서는 학습자의 능력을 보다 객관적으로 평가하기 위한 방안으로 퍼지 추론을 이용하여 진단평가와 형성평가를 통합 평가할 수 있는 학습평가 방법을 제안한다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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• pp.668-671
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• 1997

This paper describes a new process-plan selection method using a modified Fuzzy Quantification Theory(FQT). The problem for process-plan selection can be characterized by multiple attributes and used subjective, uncertain information. Fuzzy Quantification Theory is used for handling such informations because it is a useful tool when human judgment or evaluation is quantified via linguistic variables and the proposed method is concerned with the selection of a process plan by derivation of the values of categories for each attribute. In this paper, a modified Fuzzy Quantification Theory(FQT) is described and the procedure of this approach is explained and examples are illustrated.