• Korean Journal of Mathematics
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• 제32권2호
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• pp.195-211
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• 2024

In this paper, we introduce the concept of a fuzzy lattice ordered group, which is based on a fuzzy lattice that Chon developed in his paper "Fuzzy Partial Order Relations and Fuzzy Lattice". We will also discuss fuzzy lattice-ordered groups in detail, provide several results that are analogous to the classical theory of lattice-ordered groups, and characterize the relationship between a fuzzy lattice-ordered group using its level set and support. Moreover, we define the concepts of fl-subgroups, quotients, and cosets of fl-groups and obtain some fundamental results for these fuzzy algebraic structures.

• 디자인학연구
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• 제14권4호
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• pp.5-14
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• 2001

[감성지향 제품] 디자인에 있어서는 디자이너가 제품을 통해 표현하려는 이미지와 사용자가 제품을 통해 느끼는 감성적 평가와의 사이에 존재하는 갭(gap)이 문제가 되고 있는데, 이 갭을 해소하는 데에 있어 디자인 과정에서 활용되어진 이미지화상들과 디자인 평가를 위해 사용되었던 감성적 평가어 사이와의 관련도에 관한 정보는 특히 유효하다. 본 연구에서는 이러한 관련도 정보에 근거하여, 이미지 화상 및 이미지어 탐색을 통해 스타일링 디자인을 지원하는 감성검색시스템을 제안한다. 본 시스템에 있어서 관련도 정보는 이미지어와의 유사도를 유의어 계수로 상정한 퍼지 시소러스에 의해 표현된다. 또한 이미지어 사이의 유사도는 이미지 화상 평가를 기초로 산출된다. 이미지 탐색은 검색 중시도(weight)를 파라메터로한 퍼지 시소러스 전개의 알고리즘에 의해 실행되며, 탐색 모드로서 이미지어 상호간, 이미지어에서 이미지화상, 이미지 화상에서 이미지어, 이미지 화상간의 합계 네 종류의 모드가 제공 된다. 또한 이들 모드간의 이행은 직접 조작형 인터페이스에 의해 실행되며, 이로 인해 아이디어 탐색단계에 있어서의 디자이너의 발상과정이 원활하게 지원된다. 시스템은 감성적 평가의 계측 유니트와 갭의 연산, 가시화 유니트로부터 구성되며, 조작의 일관성을 유지하기 위해 통일적인 인터페이스의 환경 하에서 구축하였다.

• 산업경영시스템학회지
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• 제13권21호
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• pp.29-41
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• 1990

An assessment of risk in industrial and urban environments is essential in the prevention of accident and in the analysis of situations which are hazardous to public health and safety. The risk imposed by a particular hazard increases with the likelihood of occurence of the event, the exposure and the possible consequence of that event. In a traditional approach, the calculation of a quantitative value of risk is usually based on an assignment of numerical values of each of the risk factors. Then the product of the values of likelihood, exposure and consequences called risk score is derived. However vagueness and imprecision in mathematical quantification of risk are equated with fuzziness rather than randomness. In this paper, a fuzzy set theoretic approach to risk analysis is proposed as an alternative to the techniques currently used in the area of systems safety. Then the concept of risk evaluation using linguistic representation of the likelihood, exposure and consequences is introduced. A risk assessment model using approximate reasoning technique based on fuzzy logic is presented to drive fuzzy values of risk and numerical example for risk analysis is also presented to illustrate the results.

• 한국지능시스템학회논문지
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• 제11권3호
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• pp.258-263
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• 2001

본 논문은 지문 이미지에 존재하는 애매함을 퍼지 로직을 이용한 표현으로 기존의 융선 추적법의 단점을 보완한다. 지문의 근방의 질을 퍼지 집합의 상대 크기와 근방 명암의 분산을 이용하여 판단한 후 근방의 지문의 질이 좋고 나쁨에 즉각적으로 다른 방법을 사용하여 지문의 융선을 추적하는 새로운 융선 추적법을 제안 설계한다.

• 산업경영시스템학회지
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• 제32권2호
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• pp.112-119
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• 2009

Telecare, one of the e-healthcare services with lCT, is a promising technology which aims to monitor the state of patients and then provide the medical services appropriately in remote sites. Virtual telecare team based on the concept of virtual collaborative teams which consist of a patient, a doctor, and a telecare team, operates on a temporary basis in need. Reputation, which means the degree of a patient's belief to a doctor in consideration, is the most important factor to make the virtual telecare team trustable. In this paper, we propose the fuzzy reputation model of a virtual telecare team, which is a reputation-based trust model based on fuzzy set theory. An illustrative example is also given in order to show the applicability of the model to the concept of a virtual telecare team.

• KIEE International Transactions on Power Engineering
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• 제2A권3호
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• pp.95-101
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• 2002

This paper illustrates a new fuzzy effective load model for probabilistic and fuzzy production cost simulation of the load point of the composite power system. A model for reliability evaluation of a transmission system using the fuzzy set theory is proposed for considering the flexibility or ambiguity of capacity limitation and overload of transmission lines, which are subjective matter characteristics. A conventional probabilistic approach was also used to model the uncertainties related to the objective matters for forced outage rates of generators and transmission lines in the new model. The methodology is formulated in order to consider the flexibility or ambiguity of load forecasting as well as capacity limitation and overload of transmission lines. It is expected that the Fuzzy CMELDC (CoMposite power system Effective Load Duration Curve) proposed in this study will provide some solutions to many problems based on nodal and decentralized operation and control of an electric power systems in a competitive environment in the future. The characteristics of this new model are illustrated by some case studies of a very simple test system.

• 전자공학회논문지C
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• 제35C권10호
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• pp.59-68
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• 1998

데이터 마이닝의 목적은 유용한 패턴을 찾음으로써 데이터를 이해하는데 있으므로, 찾아진 패턴은 정확할뿐 아니라 이해하기 쉬워야한다. 따라서 정확하고 이해하기 쉬운 패턴을 추출하는 데이터 마이닝에 대한 연구가 필요하다. 본 논문에서는 퍼지 결정 트리를 이용한 효과적인 데이터 마이닝 알고리즘을 제안한다. 제안된 알고리즘은 ID3, C4.5와 같은 결정 트리 알고리즘의 이해하기 쉬운 장점과 퍼지의 표현력을 결합하여 간결하고 이해하기 쉬운 규칙을 생성한다. 제안된 알고리즘은 히스토그램에 기반하여 퍼지 소속함수를 생성하는 단계와 생성된 소속 함수를 이용하여 퍼지 결정 트리를 구성하는 두 단계로 이루어진다. 또한 제안된 방법의 타당성을 검증하기 위하여 표준적인 패턴 분류 벤치마크 데이터인 Iris 데이터와 Wisconsin Breast Cancer 데이터에 대한 실험 결과를 보인다.

• 기술혁신연구
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• 제13권1호
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• pp.55-71
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• 2005

We attempt to make three composite Science and Technology (S&T) indices for overall understanding of national S&T by aggregation of various S&T indicators using fuzzy set theory and then use these Indices to compare the S&T activities of Korea with those of five developed countries (France, Germany, Japan, the U.K., the U.S.). The overall results suggest that although the S&T indices of Korea still lag behind those of developed countries, they have grown rapidly and continuously and, as a result, the S&T gaps between Korea and developed countries have narrowed. However, the capability of Korea to transform its R&D input into final economic output has not yet matched that of developed countries.

• Industrial Engineering and Management Systems
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• 제13권1호
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• pp.15-28
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• 2014

Evaluation of the implementation and performance of a firm's green supply chain management (GSCM) is an ongoing process. Balanced scorecard is a multi-criteria evaluation concept that highlights implementation and performance measures. The literature on the framework is abundant literature but scarce on how to build a hierarchical framework under uncertainty with dependence relations. Hence, this study proposes a hybrid approach, which includes applied interpretive structural modeling to build a hierarchical structure and uses the analytic network process to analyze the dependence relations. Additionally, this study applies the fuzzy set theory to determine linguistic preferences. Twenty dependence criteria are evaluated for a GSCM implemented firm in Taiwan. The result shows that the financial aspect and life cycle assessment are the most important performance and weighted criteria.

• 산업경영시스템학회지
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• 제13권22호
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• pp.71-78
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• 1990

Some problems to assess the safety of automated man-machine system are studied in many ways. The difficulty occurred in this system is the vagueness of human behavior. Fuzzy set theory is used to assess the human behavior in safety analysis. The unsafe behavior listed top 10 in accident statistics would be explained as the factors of human vagueness. Three cases are considered, which consist of man-machine system as man-man, man-machine, machine-machine types. For the design of safe task, using characteristics of work performance, each motion cycle time is required to know the rate of learning. Approach of human behavior to the standard motion means more safe motion. It is important to design the works as to minimize the time performance to the standard motion's, which utilize the control of risk potential with easy. In that process, use of fuzzy set theory is appropriate to analyze the human behavior to identify its vagueness.