• Korean Journal of Remote Sensing
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• v.21 no.2
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• pp.145-162
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• 2005

To improve the accuracy of land-cover discrimination in SAB data classification, this paper presents a methodology that includes feature extraction and fusion steps with multi-temporal SAR data. Three features including average backscattering coefficient, temporal variability and coherence are extracted from multi-temporal SAR data by considering the temporal behaviors of backscattering characteristics of SAR sensors. Dempster-Shafer theory of evidence(D-S theory) and fuzzy logic are applied to effectively integrate those features. Especially, a feature-driven heuristic approach to mass function assignment in D-S theory is applied and various fuzzy combination operators are tested in fuzzy logic fusion. As experimental results on a multi-temporal Radarsat-1 data set, the features considered in this paper could provide complementary information and thus effectively discriminated water, paddy and urban areas. However, it was difficult to discriminate forest and dry fields. From an information fusion methodological point of view, the D-S theory and fuzzy combination operators except the fuzzy Max and Algebraic Sum operators showed similar land-cover accuracy statistics.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1997.10a
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• pp.139-142
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• 1997

본 논문에서는 기존 FCM(Fuzzy C-Means) 타입 클러스터링 알고리즘의 선은 향상을 위한 설계 방법을 제시한다. 우선 클러스터의 응집성(compactness)과 분리성(separation)을 동시에 고려한 성능 지수를 정의하고, 이를 진화 프로그램을 통하여 최적화 한다. 또한 실험을 통하여 기존 연구들과의 비교 및 제안된 방법론의 유효성을 보인다.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.2
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• pp.236-244
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• 2005

In this study, we introduce a new topology of Fuzzy Polynomial Neural Networks(FPNN) that is based on fuzzy relation and evolutionally optimized Multi-Layer Perceptron, discuss a comprehensive design methodology and carry out a series of numeric experiments. The construction of the evolutionally optimized FPNN(EFPNN) exploits fundamental technologies of Computational Intelligence. The architecture of the resulting EFPNN results from a synergistic usage of the genetic optimization-driven hybrid system generated by combining rule-based Fuzzy Neural Networks(FNN) with polynomial neural networks(PNN). FNN contributes to the formation of the premise part of the overall rule-based structure of the EFPNN. The consequence part of the EFPNN is designed using PNN. As the consequence part of the EFPNN, the development of the genetically optimized PNN(gPNN) dwells on two general optimization mechanism: the structural optimization is realized via GAs whereas in case of the parametric optimization we proceed with a standard least square method-based learning. To evaluate the performance of the EFPNN, the models are experimented with the use of several representative numerical examples. A comparative analysis shows that the proposed EFPNN are models with higher accuracy as well as more superb predictive capability than other intelligent models presented previously.

• Journal of Navigation and Port Research
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• v.27 no.5
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• pp.547-555
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• 2003

A Port Authority system has been regarded as one of the efficient ways of port management. The Korean government is thus now planning to set up such a system into the Busan Port. Busan New Port is located in Kadok Island but divided Busan and Kyongnam administrative district, so complicated in the appropriate selection to Busan New Port Administration. The research method which was used in this study accounted for overlapping between attributes, and introduced the HFP( Hierarchical Fuzzy Process) method that can perform an operation.

• Archives of design research
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• v.13 no.1
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• pp.131-138
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• 2000

The evaluation of design is one of the most important steps in design process. However, because in most cases, design evaluation has been disregarded in comparison with other steps and has been performed by designer's subjective judgment. there are few studies for the development of systematic methodology. In this study, we developed the method of design evaluation using the fuzzy theory and the multi-criteria dedsion making model. This method consists of two steps. The first step is to obtain relative importance weights of design evaluation criteria, and the second step is to obtain and integrate scores for design evaluation criteria. AHP(analytic hierarchy process) and fuzzy theory were applied to the first and the second step, respectively. We applied the developed method to the sensible evaluation of cellular phone design. As the result, we verified that the developed method could be effectively used in the evaluation of product design.

• Proceedings of the Korea Association of Information Systems Conference
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• 2001.12a
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• pp.340-347
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• 2001

전자상거래를 위한 인터넷의 웹사이트 구축 문제는 기업이나 조직의 중요한 새로운 마케팅 창구로서의 역할 때문에 그 중요성을 인식하고 효과적 디자인을 기반한 사이트구축이 이슈화 되었다. 그리하여 성공적인 인터넷 비즈니스를 위한 웹사이트의 구축 방법론이나 가이드라인의 연구가 필요하게 되며, 최근 소비자의 행동을 분석하여 이를 소비자 구매욕구를 증진시키는 방안으로 활용하여 전략적인 웹사이트를 구축하도록 제시하는 많은 연구들이 제시되고 있다. 그러나 전략적인 관점에서 웹사이트를 구축하거나 이미 구축된 웹사이트를 전략적 관점에서 개편하려고 할 때 사용될 수 있는 뚜렷한 방법론이 존재하지 않기 때문에 이런 관점의 분석모형이 절대적으로 필요한 실정이다. 이에 본 연구에서는 전략 형성과정에서 유용하게 사용될 수 있는 FCM(Fuzzy Cognitive Map)을 소개하고 이를 바탕으로 보다 구체적인 웹사이트 디자인 요소를 분석, 평가 할 수있는 방안을 제시하고자 한다. 본 논문에서 제시하는 FCM기반의 분석은 웹사이트의 성공요인들로 꼽히는 요인들간의 인과관계를 고려하여 웹사이트 구축의 요인간의 영향력의 민감도 분석을 할 수 있는 접근법으로서의 활용도가 기대된다.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.10a
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• pp.467-471
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• 2004

치열한 경쟁사회에서 고객 만족도를 높이기 위해서 고객관계관리(CRM: Customer Relationship Management)개념이 대두되고 있으며, CRM의 효과적인 수행을 위해서는 기업이 행하고 있는 고객서비스에 대한 정확한 평가가 중요하다. 여러 지표를 모두 고려하는 전략을 세우는 것은 현실적으로 불가능 하기 때문에 지표간의 개선 우선순위와 개선 폭, 개선방향을 결정할 수 있는 정보가 필요하다. 본 논문에서는 고객서비스를 평가하는 경우, 고객이 각 서비스 품질지표에 대해 느끼고 있는 중요도와 현황 및 속성에 대해 종합적인 분석을 위해 수정된 Kano 모델에 근거한 중요도-성과분석 방법론을 제시하고자 한다. 응답의 모호성으로 인한 문제점을 최소화하고자 퍼지기법을 이용하였다. 방법론의 검증을 위해서 K사의 이동통신 서비스에 대해 20대의 남녀 대학생 27명을 대상으로 사례연구를 실시하였다.

• Tunnel and Underground Space
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• v.14 no.6 s.53
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• pp.399-410
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• 2004

The utilization of AS(Artificial Intelligence) and Database could be considered as an useful access for the application of underground information from the point of a geotechnical methodology. Its detailed usage has been recently studied in many fields of geo-sciences. In this paper, the target of usage is on controlling the injection of grout which more scientific access is needed in the grouting that has been used a major method in many engineering application. As the proposals for this problem it is suggested the methodology consisting of a fuzzy-neural hybrid system and a database. The database was firstly constructed for parameters dynamically varied according to the conditions of rock mass during the injection of grout. And then the conceptional model for the fuzzy-neural hybrid system was investigated fer optimally finding the controlling range of the grout valve. The investigated model applied to four cases, and it is found that the controlling range of the grout valve was reasonably deduced corresponding to the mechanical phenomena occurred by the injection of grout. Consequently, the algorithm organizing the fuzzy-neural hybrid system and the database as a system can be considered as a tool for controlling the injection condition of grout.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.6
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• pp.716-720
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• 2006

Fuzzy sets are good for abstracting and unifying information using natural language like terms. However, fuzzy sets embody vagueness and users may have different attitude to the vagueness, each user may choose difference one as the best among several fuzzy values. In this paper, we develop a method teaming a user's, preference on fuzzy values and select one which fits to his preference. Users' preferences are modeled with artificial neural networks. We gather learning data from users by asking to choose the best from two fuzzy values in several representative cases of comparing two fuzzy sets. In order to establish tile representative comparing cases, we enumerate more than 600 cases and cluster them into several groups. Neural networks ate trained with the users' answer and the given two fuzzy values in each case. Experiments show that the proposed method produces outputs closet to users' preference than other methods.

• Journal of Navigation and Port Research
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• v.28 no.3
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• pp.177-184
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• 2004

The purpose of this study is to identify and evaluate the competitiveness of container ports in ASEAN(Association of Southeast Asian Nations) and Korea, which plays a leading role in basing the hub of international logistics strategies at the onset of the 21st century. Its ultimate purpose is to consider the relevant policy-making by comparing the competitiveness of ASEAN and Korea's container ports. This paper adopted the HFP method, which is an empirical analysis that evaluated the port competitiveness by quantifying it a, a qualitative attribute in the aforementioned area, where both ASEAN and Korea vie with each other for increasing container throughput. The results of this study showed that Singapore ranked the first in the subject of study in view of the competitiveness, followed by Busan(2) and Manila(2) as a leading group of the relevant ports in international logistics strategies. This analytic evaluation contributes to the empirical approach applied to policy-making by the HFP method, which is the newest research technique in social science through the comparative study of port competitiveness between ASEAN and Korea.