• 한국지능시스템학회논문지
• /
• 제17권2호
• /
• pp.149-153
• /
• 2007

본 논문에서 우리는 Wang와 Li(1998)와 Turksen(1986)에 의해 소개된 구간치 퍼지집합을 생각하고 구간치 퍼지집합상에서 쇼케이적분에 의해 정의된 엔트로피를 조사한다. 더욱이, 이러한 엔트로피와 관련된 성질들을 토의하고 간단한 예들을 알아본다. 이 공식은 구간치 퍼지집합상의 결정이론 및 정보이론과 같은 응용 영역에서 중요한 역할을 한다.

• Journal of Electrical Engineering and Technology
• /
• 제9권6호
• /
• pp.2098-2106
• /
• 2014

In the area of clustering, there are numerous approaches to construct clusters in the input space. For regression problem, when forming clusters being a part of the overall model, the relationships between the input space and the output space are essential and have to be taken into consideration. Conditional Fuzzy C-Means (c-FCM) clustering offers an opportunity to analyze the structure in the input space with the mechanism of supervision implied by the distribution of data present in the output space. However, like other clustering methods, c-FCM focuses on the distribution of the data. In this paper, we introduce a new method, which by making use of the ambiguity index focuses on the boundaries of the clusters whose determination is essential to the quality of the ensuing classification procedures. The introduced design is illustrated with the aid of numeric examples that provide a detailed insight into the performance of the fuzzy classifiers and quantify several essentials design aspects.

• 제어로봇시스템학회논문지
• /
• 제3권5호
• /
• pp.490-496
• /
• 1997

This paper describes a new process-plan selection method using a modified Fuzzy Quantification Theory(FQT). The problem of process-plan selection can be characterized by multiple attributes and used subjective, uncertain information. Fuzzy Quantification Theory is used for handling such information 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 illustrated.

• 한국농공학회논문집
• /
• 제65권4호
• /
• pp.33-43
• /
• 2023

In this study, it was developed and verified an application method of fuzzy-logic theory to the rating process of agricultural fill dam safety. A fuzzy-logic is very famous logical system when some decision making is made on the status of a lack of information. Three proxies were selected and configured membership functions (MFs) and these MFs were activated in the process of fuzzification procedures. Fuzzified vlaues were passed through the rule-based inference system, then fire strength could classified among cases of the rule-based inference system. To obtain final results, Mandani-type was adapted in the defuzzification process. As the results, it was shown the developed system can give a correct results that was compared with Matlab - fuzzy inference function. More ever it could perform the detailed analysis and improvement on the infrastructure safety rating process using classical diagnosis method.

• 터널과지하공간
• /
• 제14권4호
• /
• pp.275-286
• /
• 2004

본 논문에서는 신규 터널노선과 교차하는 폐터널의 보강방식을 결정하기 위하여 의사결정기법을 검토하였고, 여러 가지 의사결정기법들 중에서 설문조사의 과정을 최소화 하고, 조사항목 별 정성적ㆍ정량적 특성을 모두 반영할 수 있도록 쌍대비교와 퍼지근사추론을 이용하여 폐터널의 보강방식에 대한 적정성을 평가하여 보았다. 페터널 보강방식을 선정하기 위하여 4개의 주 요인들 즉, 시공성, 경제성, 안전성, 유지관리성을 평가의 수단으로 사용하였고, 간단한 설문조사와 쌍대비교행렬을 이용하여 4가지 주 요인들의 가중치를 결정하였다. 퍼지근사추론은 4개의 주 요인별 평가점수를 산정 하는데 사용되어졌고, 이 결과들에 가중치를 반영하여 최종적인 폐터널의 보강방식을 선정할 수 있었다.

• 한국항만경제학회지
• /
• 제29권2호
• /
• pp.137-157
• /
• 2013

우리나라의 해운업은 2011년 실질 지배선대 기준으로 5천 5백만톤(DWT)를 소유함으로서 그리스, 일본, 독일, 중국에 이어 세계 5위를 차지하고 있으며, 연간 300억불 이상의 운임수입을 벌어들임으로써 경상수지 개선에도 기여하는 중요한 산업이다. 또한 물동량 처리측면에서 수출입물동량의 99% 이상을 수송하는 국가 기간산업이다. 지난 10여년 사이에 우리나라 외항선대는 420척에서 979척으로 대폭 증가하여 향후 전망을 밝게 하고 있다. 선행연구를 분석해보면 이처럼 우리나라 외항상선대가 크게 증가한 원인으로 2004년 선박투자회사제를 통한 선박펀드의 도입, 2005년 톤세제 도입 등의 단편적인 요소에 의한 것으로 제시되고 있다. 하지만 해운기업이 선박투자에 관한 의사결정을 할 때 어떤 요인들을 주로 고려하고, 또한 정부지원 정책 중 어떤 정책에 대한 영향을 크게 느끼고 있는지에 대한 분석은 제한적이었다. 이러한 측면에서 해운기업의 투자의사결정 시 중요한 요소 8가지와 정부의 해운정책 8가지에 대하여 퍼지방법론을 사용하여 중요도 분석을 수행하였다. 먼저, 해운기업의 투자의사결정 시 중요한 요소 8가지측면에서는 '해운시황 및 향후 전망', '현재 선가 및 향후 전망', '화물확보와 향후 수익 전망' 등을 가장 중요한 요인으로 고려하여 의사결정을 하고 있는 것으로 나타났다. 정부의 정책측면에서는 '정책금융기관의 금융지원', '해운보증기금' 및 '선박금융공사의 설립' 등 선박금융 관련 정책을 중요한 요인으로 인식하고 있는 것으로 분석되었다.

• 한국유기농업학회지
• /
• 제24권2호
• /
• pp.149-168
• /
• 2016

Even though Korean consumers have shown the strong preference for environment-friendly agricultural products, the real market of environment-friendly agricultural products may reach a plateau. In order to overcome this problem, researchers should find the more specific consumers' needs, including taste, flavor, shape, and others. and offer some implications to farmers and marketers. The object of this paper is to analyze the determinant factors of Korean consumers about environment-friendly carrot and oriental melon, through survey and fuzzy multi-criteria decision making approach. The results of analyses present that Korean consumers have the unique determinant factors about environment-friendly carrot and oriental melon, which are different from conventional carrot and oriental melon. Korean consumers' experience of the buying of environment-friendly vegetable is also influential in the determinant factors. Findings and implications from this research may be useful to Korean producers and other researchers.

• 한국군사과학기술학회지
• /
• 제19권1호
• /
• pp.57-65
• /
• 2016

Threat evaluation is a process to estimate the threat score which enemy aerial threat poses to defended assets. The objective of threat evaluation is concerned with making an engagement priority list for optimal weapon allocation. Traditionally, the threat evaluation of massive air threats has been carried out by air defence experts, but the human decision making is less effective in real aerial attack situations with massive enemy fighters. Therefore, automation to enhance the speed and efficiency of the human operation is required. The automatic threat evaluation by air defense experts who will perform multi-variable judgment needs formal models to accurately quantify their linguistic evaluation of threat level. In this paper we propose a threat evaluation model by using a fuzzy rule-based inference method. Fuzzy inference is an appropriate method for quantifying threat level and integrating various threat attribute information. The performance of the model has been tested with a simulation that reflected real air threat situation and it has been verified that the proposed model was better than two conventional threat evaluation models.

• Structural Engineering and Mechanics
• /
• 제3권4호
• /
• pp.373-382
• /
• 1995

The weighting strategy has received a great attention and has been widely applied to multicriterion optimization. This gaper examines a global criterion method (GCM) with the weighting objectives strategy in fuzzy structural engineering problems. Fuzziness of those problems are in their design goals, constraints and variables. Most of the constraints are originated from analysis of engineering mechanics. The GCM is verified to be equivalent to fuzzy goal programming via a truss design. Continued and mixed discrete variable spaces are presented and examined using a fuzzy global criterion method (FGCM). In the design process a weighting parameter with fuzzy information is introduced into the design and decision making. We use a uniform machine-tool spindle as an illustrative example in continuous design space. Fuzzy multicriterion optimization in mixed design space is illustrated by the design of mechanical spring stacks. Results show that weighting strategy in FGCM can generate both the best compromise solution and a set of Pareto solutions in fuzzy environment. Weighting technique with fuzziness provides a more relaxed design domain, which increases the satisfying degree of a compromise solution or improves the final design.

• 융합경영연구
• /
• 제10권5호
• /
• pp.1-6
• /
• 2022

Purpose: To overcome the question that depends too much on expert's subjective judgment in traditional risk identification, this paper structure the multilevel generalized fuzzy comprehensive evaluation mathematics model of the risk identification of project, to research the risk identification of the project. Research design, data and methodology: This paper constructs the multilevel generalized fuzzy comprehensive evaluation mathematics model. Through iterative algorithm of AHP analysis, make sure the important degree of the sub project in risk analysis, then combine expert's subjective judgment with objective quantitative analysis, and distinguish the risk through identification models. Meanwhile, the concrete method of multilevel generalized fuzzy comprehensive evaluation is probed. Using the index weights to analyse project risks is discussed in detail. Results: The improved fuzzy comprehensive evaluation algorithm is proposed in the paper, at first the method of fuzzy sets core is used to optimize the fuzzy relation matrix. It improves the capability of the algorithm. Then, the method of entropy weight is used to establish weight vectors. This makes the computation process fair and open. And thereby, the uncertainty of the evaluation result brought by the subjectivity can be avoided effectively and the evaluation result becomes more objective and more reasonable. Conclusions: In this paper, we use an improved fuzzy comprehensive evaluation method to evaluate a railroad engineering project risk. It can give a more reliable result for a reference of decision making.