• 제목/요약/키워드: Fuzzy Logic Theory

검색결과 210건 처리시간 0.024초

간편 간접추론 퍼지논리 경계층을 갖는 슬라이딩 모드 제어기의 설계 (Design of Sliding Mode Controller with a SIIM Fuzzy Logic Boundary Layer)

  • 채창현
    • 전자공학회논문지SC
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    • 제41권2호
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    • pp.45-52
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    • 2004
  • 본 논문에서는 슬라이딩 라인 함수의 각 요소를 간편 간접추론 퍼지 논리의 입력변수로 사용하여 슬라이딩 모드 제어기의 경계층을 모사하는 간편 간접추론 퍼지논리 경계층을 갖는 슬라이딩 모드 제어기를 설계하였다. 제안된 제어시스템은 별도의 비선형 함수를 구할 필요가 없으며, 네 개의 퍼지규칙으로 이루어지므로 간단하고 안정도 증명이 쉬운 장점을 가진다. 본 논문의 유효성을 비선형 시변 시스템에 적용하여 고찰하였다.

COMPLETE HAMACHER FUZZY GRAPHS

  • AL-HAWARY, TALAL ALI
    • Journal of applied mathematics & informatics
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    • 제40권5_6호
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    • pp.1043-1052
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    • 2022
  • Our goal in this paper is to propose the advancement proposed by Alsina, Klement and other researchers in the area of fuzzy logic applied to the area of fuzzy graph theory. We introduce the notion of complete Hamacher fuzzy graphs and the notion of balanced Hamacher fuzzy graphs and discuss their properties. Moreover, several operations on these fuzzy graphs are explored via the complete notion.

A Quantitative Vigilance Measuring Model by Fuzzy Sets Theory in Unlimited Monitoring Task

  • Liu, Cheng-Li;Uang, Shiaw-Tsyr;Su, Kuo-Wei
    • Industrial Engineering and Management Systems
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    • 제4권2호
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    • pp.176-183
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    • 2005
  • The theory of signal detection has been applied to a wide range of practical situation for a long time, including sonar detection, air traffic control and so on. In general, in this theory, sensitivity parametric index d' and bias parametric index $\beta$ are used to evaluated the performance of vigilance. These indices use observer's response "hit" and "false alarm" to explain and evaluate vigilance, but not considering reaction time. However, the reaction time of detecting should be considered in measuring vigilance in some supervisory tasks such as unlimited monitoring tasks (e.g., supervisors in nuclear plant). There are some researchers have used the segments of reaction time to generate a pair of probabilities of hit and false alarm probabilities and plot the receiver operating characteristic curve. The purpose of this study was to develop a quantitative vigilance-measuring model by fuzzy sets, which combined the concepts of hit, false alarm and reaction time. The model extends two-values logic to multi-values logic by membership functions of fuzzy sets. A simulated experiment of monitoring task in nuclear plant was carried out. Results indicated that the new vigilance-measuring model is more efficient than traditional indices; the characteristics of vigilance would be realized more clearly in unlimited monitoring task.

A novel approach to predict surface roughness in machining operations using fuzzy set theory

  • Tseng, Tzu-Liang (Bill);Konada, Udayvarun;Kwon, Yongjin (James)
    • Journal of Computational Design and Engineering
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    • 제3권1호
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    • pp.1-13
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    • 2016
  • The increase of consumer needs for quality metal cutting related products with more precise tolerances and better product surface roughness has driven the metal cutting industry to continuously improve quality control of metal cutting processes. In this paper, two different approaches are discussed. First, design of experiments (DOE) is used to determine the significant factors and then fuzzy logic approach is presented for the prediction of surface roughness. The data used for the training and checking the fuzzy logic performance is derived from the experiments conducted on a CNC milling machine. In order to obtain better surface roughness, the proper sets of cutting parameters are determined before the process takes place. The factors considered for DOE in the experiment were the depth of cut, feed rate per tooth, cutting speed, tool nose radius, the use of cutting fluid and the three components of the cutting force. Finally the significant factors were used as input factors for fuzzy logic mechanism and surface roughness is predicted with empirical formula developed. Test results show good agreement between the actual process output and the predicted surface roughness.

강구의 결함 판별을 위한 퍼지 논리 기반의 알고리즘 개발 (Design of Fuzzy Logic based Classifying System for the Degree of Goodness of Steel Balls)

  • 김태균;최병재;김윤수;도용태
    • 한국지능시스템학회논문지
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    • 제19권2호
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    • pp.153-159
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    • 2009
  • 본 논문에서는 지금까지 검사자에 의해 목시 검사로 이루어지고 있는 강구의 결함 여부를 자동으로 평가할 수 있는 새로운 시스템을 제안한다. 먼저 결함 종류 판별을 위하여 특징값 6가지를 결정하고 퍼지 추론과 Choquet 퍼지 적분을 사용한다. 결함정도에 따라 분류된 결함을 Choquet 퍼지 적분을 수행하게 되면 결과 값에서 서로 상쇄가 발생하여 원하지 않는 결과를 제시할 수 있다. 이를 해결하기 위하여 본 논문에서는 같은 특징을 갖는 계열들로 결함의 종류를 재분류하여 퍼지적분을 수행함으로서 상태 평가치의 상쇄를 최소화한다. 그리고 최종 상태 평가치와 계열의 평가치를 사용하여 결함 종류를 분류하는 하는 방법을 제시하며, 실제 실험 결과를 통해 제안된 시스템의 타당성을 평가한다.

A Study on Target-Tracking Algorithm using Fuzzy-Logic

  • Kim, Byeong-Il;Yoon, Young-Jin;Won, Tae-Hyun;Bae, Jong-Il;Lee, Man-Hyung
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1999년도 제14차 학술회의논문집
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    • pp.206-209
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    • 1999
  • Conventional target tracking techniques are primarily based on Kalman filtering or probabilistic data association(PDA). But it is difficult to perform well under a high cluttered tracking environment because of the difficulty of measurement, the problem of mathematical simplification and the difficulty of combined target detection for tracking association problem. This paper deals with an analysis of target tracking problem using fuzzy-logic theory, and determines fuzzy rules used by a fuzzy tracker, and designs the fuzzy tracker by using fuzzy rules and Kalman filtering.

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Rough Set 이론을 이용한 쓰레기 소각로의 퍼지제어 시스템을 위한 입출력 관계 설정 및 규칙 생성 (Determination of the Input/Output Relations and Rule Generation for Fuzzy Combustion Control System of Refuse Incinerator using Rough Set Theory)

  • 방원철;변증남
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1997년도 춘계학술대회 학술발표 논문집
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    • pp.81-86
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    • 1997
  • It is proposed, for fuzzy combustion control system of refuse incinerator to find the relationship between inputs and outputs and to generate rules to control by using rough set theory. It is not easy to find out the corresponding inputs for each output and the control rules with incomplete or imprecise information consisting expert knowledge, process and manipulator values in the field, and operation manual for the given system. Most decision problems can be formulated employing decision table formalism. A decision table on fuzzy combustion control system for refuse incinerator is simplified and produces control(rules). The I/O realtions and the control rules found by rough set theory are compared with the previous result.

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Adaptive Clustering Algorithm for Recycling Cell Formation: An Application of Fuzzy ART Neural Networks

  • Seo, Kwang-Kyu;Park, Ji-Hyung
    • Journal of Mechanical Science and Technology
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    • 제18권12호
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    • pp.2137-2147
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    • 2004
  • The recycling cell formation problem means that disposal products are classified into recycling part families using group technology in their end-of-life phase. Disposal products have the uncertainties of product status by usage influences during product use phase, and recycling cells are formed design, process and usage attributes. In order to deal with the uncertainties, fuzzy set theory and fuzzy logic-based neural network model are applied to recycling cell formation problem for disposal products. Fuzzy C-mean algorithm and a heuristic approach based on fuzzy ART neural network is suggested. Especially, the modified Fuzzy ART neural network is shown that it has a good clustering results and gives an extension for systematically generating alternative solutions in the recycling cell formation problem. Disposal refrigerators are shown as examples.

MANY VALUED LOGIC AND INTUITIONISTIC FUZZY SETS: A STONE THEOREM GENERALIZATION

  • AMROUNE, ABDELAZIZ;DAVVAZ, BIJAN
    • 호남수학학술지
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    • 제37권3호
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    • pp.269-279
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    • 2015
  • Atanassov introduced another fuzzy object, called intu- itionistic fuzzy set as a generalization of the concept of fuzzy subset. The aim of this paper is the elaboration of a representation theory of involutive interval-valued Łukasiewicz-Moisil algebras by using the notion of intuitionistic fuzzy sets.