• 제목/요약/키워드: Fuzzy Structural Modeling

검색결과 61건 처리시간 0.042초

연구개발 프로젝트 평가에 대한 의식구조분석 (Analysis of Consciousness Structure R&D Project Evaluation)

  • 김성희;김정자
    • 산업경영시스템학회지
    • /
    • 제25권4호
    • /
    • pp.61-68
    • /
    • 2002
  • This paper provides a method of consciousness structure analysis for research and development project evaluation using fuzzy structure modeling(FSM). Fuzzy structure modeling, which is a modeling method for consciousness structure, has a large number of pairwise comparison by human subjective judgement and is difficult to check the consistency index of denoting the precision for human judgement. Thus, in this paper, we analyzed the structure of consciousness by fuzzy structural modeling method, introducing the concept of pairwise comparison matrix in Analytic Hierarchy Process.

하이브리드 면진장치의 뉴로-퍼지 모형화 (Neuro-Fuzzy Modeling Approach for Hybrid Base Isolaton System)

  • 김현수;;이동근
    • 한국전산구조공학회:학술대회논문집
    • /
    • 한국전산구조공학회 2005년도 춘계 학술발표회 논문집
    • /
    • pp.201-208
    • /
    • 2005
  • Neuro-Fuzzy modeling approach is proposed to predict the dynamic behavior of a single-degree-of-freedom structure that is equipped with hybrid base isolation system. Hybrid base isolation system consists of friction pendulum systems (FPS) and a magnetorheological (MR) damper. Fuzzy model of the M damper is trained by ANFIS using various displacement, velocity, and voltage combinations that are obtained from a series of performance tests. Modelling of the FPS is carried out with a nonlinear analytical equation that is derived in this study and neuro-fuzzy training. Fuzzy logic controller is employed to control the command voltage that is sent to MR damper. The dynamic responses or experimental structure subjected to various earthquake excitations are compared with numerically simulated results using neuro-fuzzy modeling method. Numerical simulation using neuro-fuzzy models of the MR damper and FPS predict response of the hybrid base isolation system very well.

  • PDF

Saaty의 일대비교행렬의 개념을 이용한 퍼지구조모델링법 (Fuzzy Structural Modeling Method Using the Concept of Saaty렬s Pairwise Comparison Matrix)

  • 황승국;주종문;박영화
    • 한국지능시스템학회:학술대회논문집
    • /
    • 한국퍼지및지능시스템학회 1996년도 추계학술대회 학술발표 논문집
    • /
    • pp.186-193
    • /
    • 1996
  • This paper presents a fuzzy structural modeling using the concept of Saaty's pairwise comparison matrix. The merit of this approach can be reduced the number of pairwise comparison.

  • PDF

전역근사최적화를 위한 소프트컴퓨팅기술의 활용 (Utilizing Soft Computing Techniques in Global Approximate Optimization)

  • 이종수;장민성;김승진;김도영
    • 한국전산구조공학회:학술대회논문집
    • /
    • 한국전산구조공학회 2000년도 봄 학술발표회논문집
    • /
    • pp.449-457
    • /
    • 2000
  • The paper describes the study of global approximate optimization utilizing soft computing techniques such as genetic algorithms (GA's), neural networks (NN's), and fuzzy inference systems(FIS). GA's provide the increasing probability of locating a global optimum over the entire design space associated with multimodality and nonlinearity. NN's can be used as a tool for function approximations, a rapid reanalysis model for subsequent use in design optimization. FIS facilitates to handle the quantitative design information under the case where the training data samples are not sufficiently provided or uncertain information is included in design modeling. Properties of soft computing techniques affect the quality of global approximate model. Evolutionary fuzzy modeling (EFM) and adaptive neuro-fuzzy inference system (ANFIS) are briefly introduced for structural optimization problem in this context. The paper presents the success of EFM depends on how optimally the fuzzy membership parameters are selected and how fuzzy rules are generated.

  • PDF

ISM과 FSM을 이용한 이론적 구조모형화에 대한 연구 (A Study on the Theoretical Structure Modeling using ISM & FSM)

  • 조성훈;정민용
    • 산업경영시스템학회지
    • /
    • 제21권47호
    • /
    • pp.219-232
    • /
    • 1998
  • A lot of difficulties exist in analyzing the structure of a system owing to the complex and organic relations in the systems we face in reality. Focuses have been put on the research of optimal solution in a defined structure, however, on the assumption that the structure of the system has been already defined. With the grasping of the structure as the most prior condition, ISM(Interpretive Structural Modeling) and FSM(Fuzzy Structural Modeling) are suggested as solutions in this paper. ISM uses the systematic application of some elementary notions of graph theory and boolean algebra, FSM uses Fuzzy conception for representing relationship between elements. In FSM, the entries in the relation matrix are taken to value on the interval [0,1] by virtue of a fuzzy binary relation. Numeric examples are used as the actual application as follows.

  • PDF

중소형항만의 화주유인증대를 위한 모형개발에 관한 연구 - 군산항을 중심으로- (Model Development for Increasing Shippers′ Attraction of Small and Medium Ports: With the Focus on Kunsan Ports)

  • 여기태;박은보;강래영
    • 한국항만경제학회지
    • /
    • 제20권1호
    • /
    • pp.141-151
    • /
    • 2004
  • Although the small and medium ports are actually competing with various strategies, the definition and structural understanding of small and medium ports are not known very much. Therefore this study has launched from this fact, and has the objective of obtaining the structural model for increasing shippers' attraction of small and medium ports. The process began by abstracting the components that composed the success factors through recent research, and grouping it by FA(Factor Analysis) method. Also, by using the FSM(Fuzzy Structural Modeling) method to understand the structure of the grouped components, and the structural model for increasing shippers' attraction of small and medium ports was able to obtain as the result. When analyzing the obtained structural model, easiness of shipment, connection to hubport and efficiency of hinterland network came out to be the most important component groups.

  • PDF

FSM을 이용한 해운선사의 신규채용에 관한 의식구조분석 (Structural Analysis of Consciousness on the Shipping Companies for Employment of Marine Junior Officers using Fuzzy Structural Modeling)

  • 양원재;전승환;박계각;서기열
    • 한국지능시스템학회:학술대회논문집
    • /
    • 한국퍼지및지능시스템학회 2000년도 추계학술대회 학술발표 논문집
    • /
    • pp.33-36
    • /
    • 2000
  • Recently, in the shipping companies have been employing prudently in order to prevent from sea accidents occurred by human factors. Also the students of merchant marine universities are choosing prudently the shipping companies when taking a job. But many qualitative and quantitative factors are considered in decision making for the employment. FSM(Fuzzy Structural Modeling) has been widely used in modeling the system composed of such qualitative and quantitative factor. In this paper, a case study is discussed for the analysis of the consciousness of the employment of shipping companies using FSM. Also this paper proposed the planes for educating and recruitment guiding the student in maritime university.

  • PDF

FSM을 이용한 해기사 신규채용 및 선사선택에 관한 의식구조분석 (Structural Analysis of Consciousness on the Shipping Companies, Employment of Marine Junior Officers and their Choosing these Companies, Using Fuzzy Structural Modeling)

  • 양원재;박계각;전승환
    • 한국항해학회지
    • /
    • 제24권1호
    • /
    • pp.35-45
    • /
    • 2000
  • Recently, in the shipping companies have been employing prudently in order to prevent from sea accidents occurred by human factors. Also the students of merchant marine universities are choosing prudently the shipping companies when taking a job. But many qualitative and quantitative factors are considered in decision making for the employment and the choice of a company. FSM(Fuzzy Structural Modeling) has been widely used in modeling the system composed of such qualitative and quantitative factor. In this paper, a case study is discussed for the analysis of the consciousness of the employment of shining companies and students' choice of such company in maritime university using FSM. Also this paper proposed the planes for educating and recruitment guiding the student in maritime university.

  • PDF

Fuzzy control for geometrically nonlinear vibration of piezoelectric flexible plates

  • Xu, Yalan;Chen, Jianjun
    • Structural Engineering and Mechanics
    • /
    • 제43권2호
    • /
    • pp.163-177
    • /
    • 2012
  • This paper presents a LMI(linear matrix inequality)-based fuzzy approach of modeling and active vibration control of geometrically nonlinear flexible plates with piezoelectric materials as actuators and sensors. The large-amplitude vibration characteristics and dynamic partial differential equation of a piezoelectric flexible rectangular thin plate structure are obtained by using generalized Fourier series and numerical integral. Takagi-Sugeno (T-S) fuzzy model is employed to approximate the nonlinear structural system, which combines the fuzzy inference rule with the local linear state space model. A robust fuzzy dynamic output feedback control law based on the T-S fuzzy model is designed by the parallel distributed compensation (PDC) technique, and stability analysis and disturbance rejection problems are guaranteed by LMI method. The simulation result shows that the fuzzy dynamic output feedback controller based on a two-rule T-S fuzzy model performs well, and the vibration of plate structure with geometrical nonlinearity is suppressed, which is less complex in computation and can be practically implemented.

Multiple linear regression and fuzzy linear regression based assessment of postseismic structural damage indices

  • Fani I. Gkountakou;Anaxagoras Elenas;Basil K. Papadopoulos
    • Earthquakes and Structures
    • /
    • 제24권6호
    • /
    • pp.429-437
    • /
    • 2023
  • This paper studied the prediction of structural damage indices to buildings after earthquake occurrence using Multiple Linear Regression (MLR) and Fuzzy Linear Regression (FLR) methods. Particularly, the structural damage degree, represented by the Maximum Inter Story Drift Ratio (MISDR), is an essential factor that ensures the safety of the building. Thus, the seismic response of a steel building was evaluated, utilizing 65 seismic accelerograms as input signals. Among the several response quantities, the focus is on the MISDR, which expresses the postseismic damage status. Using MLR and FLR methods and comparing the outputs with the corresponding evaluated by nonlinear dynamic analyses, it was concluded that the FLR method had the most accurate prediction results in contrast to the MLR method. A blind prediction applying a set of another 10 artificial accelerograms also examined the model's effectiveness. The results revealed that the use of the FLR method had the smallest average percentage error level for every set of applied accelerograms, and thus it is a suitable modeling tool in earthquake engineering.