• 제목/요약/키워드: max-min operator

검색결과 19건 처리시간 0.023초

퍼지 대화형 다목적 비선형계획에서의 절충된 통합연산자의 결정 (Decision of Compensatory Aggregation Operator in Interactive Fuzzy Multiobjective Nonlinear Programming)

  • 윤연근;남현우;이상완
    • 산업경영시스템학회지
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    • 제19권39호
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    • pp.75-80
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    • 1996
  • Fuzzy approaches used to solve MONLP(Multiobjective Nonlinear Programming Problem) are based on the max-min method of fuzzy sets theory However, since the min operator noncompensatory, these approaches can not guarentee an efficient solution to the problem. In this paper, we presents an algorithm for finding the aggregation operator to find efficient solution. In particular, our presented algorithm is guarentee an efficient solution. On the basis of proposed algorithm, an illustrative numerical example is presented.

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퍼지 집합 모델의 검색 효율 개선을 위한 퍼지 연산자의 분석 (Fussy operator analyses to imporve retrieval effectiveness of the fuzzy set model)

  • 이준호;김원용;이윤준;김명호
    • 정보관리학회지
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    • 제10권1호
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    • pp.53-63
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    • 1993
  • AND와 OR에 대한 연삭식으로 MIN과 MAX를 사용하는 기존의 퍼지 집합 모델은 많은 경우에 사람이 생각하는 것과 다른 문서값을 생성하기 때문에 정보 검색 모델로서 부적합하다고 비판되어 왔다. 퍼지 집합 이론이 도입된 이후로 AND OR에 대한 연삭식으로 다양한 퍼지 연산자들이 개발되어 왔다. 본 논문에서는 이러한 퍼지 연산자들의 문서값 생성 특성을 분석하고, MIN과 MAX 대신에 긍정적 보상 연산자라 불리는 퍼지 연산자를 사용할 것을 제안한다. 긍정적 보상 연산자를 사용하는 퍼지 집합 모델이 보다 우수한 검색 효율을 제공함을 실험을 통하여 입증한다.

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An Approximated Reasoning with Compensation

  • Kim, Chang-Suk;Kim, Dae-Su
    • 한국지능시스템학회논문지
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    • 제11권6호
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    • pp.558-562
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    • 2001
  • In this paper, a fuzzy hyperresolution principle called CFHR. Compensatory Fuzzy Hyperresolution, with positive compensation facility is proposed. Usually hyperresolution has several terms of conditon parts. Theser terms have to be connected by the an connective. If the main/max operator to be used the and operation, there is some dependency problem of the min/max operator. So , we propose a compensatory operator EGM and applied it to the CFHR, We show the CFHR does more meaningful reasoning than existing method. We also prove the completeness of CFHR.

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Service Level Agreement for the QoS Guaranteed Mobile IPTV Services over Mobile WiMAX Networks

  • Chowdhury, Mostafa Zaman;Trung, Bui Minh;Jang, Yeong-Min;Kim, Young-Il;Ryu, Won
    • 한국통신학회논문지
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    • 제36권4A호
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    • pp.380-387
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    • 2011
  • While mobile IPTV services are supported through the mobile WiMAX networks, there must need some guaranteed bandwidth for the IPTV services especially if IPTV and non-IPTV services are simultaneously supported by the mobile WiMAX networks. The quality of an IPTV service definitely depends on the allocated bandwidth for that channel. However, due to the high quality IPTV services and to support of huge non-IPTV traffic over mobile WiMAX networks, it is not possible to guarantee the sufficient amount of the limited mobile WiMAX bandwidth for the mobile IPTV services every time. A Service Level Agreement (SLA) between the mobile IPTV service provider and mobile WiMAX network operator to reserve sufficient bandwidth for the IPTV calls can increase the satisfaction level of the mobile IPTV users. In this paper, we propose a SLA negotiation procedure for mobile IPTV users over mobile WiMAX networks. The Bandwidth Broker controls the allocated bandwidth for IPTV and non-IPTV users. The proposed dynamically reserved bandwidth for the IPTV services increases the IPTV user's satisfaction level. The simulation results state that, our proposed scheme is able to provide better user satisfaction level for the IPTV users.

순위가 있는 가중치 평균 방법에서 일정한 수준의 결합력을 갖는 가중치 함수의 성질 및 다기준의사결정 문제에의 활용 (The Ordered Weighted Averaging (OWA) Operator Weighting Functions with Constant Value of Orness and Application to the Multiple Criteria Decision Making Problems)

  • 안병석
    • Asia pacific journal of information systems
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    • 제16권1호
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    • pp.85-101
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    • 2006
  • Actual type of aggregation performed by an ordered weighted averaging (OWA) operator heavily depends upon the weighting vector. A number of approaches have been suggested for obtaining the associated weights. In this paper, we present analytic forms of OWA operator weighting functions, each of which has such properties as rank-based weights and constant value of orness, irrespective of number of objectives aggregated. Specifically, we propose four analytic forms of OWA weighting functions that can be positioned at 0.25, 0.334, 0.667, and 0.75 on the orness scale. The merits for using these weights over other weighting schemes can be mentioned in a couple of ways. Firstiy, we can efficiently utilize the analytic forms of weighting functions without solving complicated mathematical programs once the degree of orness is specified a priori by decision maker. Secondly, combined with well-known OWA operator weights such as max, min, and average, any weighting vectors, having a desired value of orness and being independent of the number of objectives, can be generated. This can be accomplished by convex combinations of predetermined weighting functions having constant values of orness. Finally, in terms of a measure of dispersion, newly generated weighting vectors show just a few discrepancies with weights generated by maximum entropy OWA.

2-DIMENSIONAL EXPANSION OF QUADRATIC FUZZY NUMBERS THROUGH CALCULATION AND GRAPH

  • Kim, Hyun;Yun, Yong Sik
    • East Asian mathematical journal
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    • 제36권5호
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    • pp.561-570
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    • 2020
  • We compute the extended four operations of the 2-dimensional quadratic fuzzy numbers. Then we calculate the intersection between a plane perpendicular to the x-axis, which passes through each vertex, and the resulting 2-dimensional quadratic fuzzy number. We confirm that the equations of the two intersections acquired in this way and the graphs are actually identical, respectively.

퍼지-뉴럴 융합을 이용한 로보트 Gripper의 힘 제어기 (Force controller of the robot gripper using fuzzy-neural fusion)

  • 임광우;김성현;심귀보;전홍태
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 22-24 Oct. 1991
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    • pp.861-865
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    • 1991
  • In general, the fusion of neural network and fuzzy logic theory is based on the fact that neural network and fuzzy logic theory have the common properties that 1) the activation function of a neuron is similar to the membership function of fuzzy variable, and 2) the functions of summation and products of neural network are similar to the Max-Min operator of fuzzy logics. In this paper, a fuzzy-neural network will be proposed and a force controller of the robot gripper, utilizing the fuzzy-neural network, will be presented. The effectiveness of the proposed strategy will be demonstrated by computer simulation.

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시공간 데이터베이스를 위한 history 집계 연산자 (History / Aggregate Operator for Spatio-Temporal Databases)

  • 이종연
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2001년도 가을 학술발표논문집 Vol.28 No.2 (1)
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    • pp.106-108
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    • 2001
  • 기존의 관계형 데이터베이스 시스템은 기본적으로 count, max, min, sum, avg의 집계 함수(aggregate functions)를 제공하며, UBMS에 따라 다양한 집계 연산자를 추가로 지원한다. 시공간 데이터베이스는 기본적인 공간 정보뿐만 아니라 시간 흐름에 따른 이력 정보를 취급하므로 데이터베이스로부터 자유로운 이력(history) 정보의 검색 기능이 요구되고 있다. 따라서, 본 연구에서는 시공간 데이터베이스로부터 이력을 자동으로 검색할 수 있는 새로운 집계 연산자, ‘history’를 제안하고, 그 처리 알고리즘과 SQL3에서 탐색 질의 표현법을 제안한다. 결과적으로, 제안된 이력 집계 연산자는 향후 SQL3리 질의 표현 능력의 제고에 기여할 것이다.

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잡음과 위치이동에 강인한 새로운 홍채인식 기법 (A Novel Iris recognition method robust to noises and translation)

  • 원정우;김재민;조성원;최경삼;최진수
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 B
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    • pp.392-395
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    • 2003
  • This paper describes a new iris segmentation and recognition method, which is robust to noises. Combining statistical classification and elastic boundary fitting, the iris is first segmented. Then, the localized iris image is smoothed by a convolution with a Gaussian function, down-sampled by a factor of filtered with a Laplacian operator, and quantized using the Lloyd-Max method. Since the quantized output is sensitive to a small shift of the full-resolution iris image, the outputs of the Laplacian operator are computed for all space shifts. The quantized output with maximum entropy is selected as the final feature representation. An appropriate formulation of similarity measure is defined for the classification of the quantized output. Experimentally we showed that the proposed method produces superb performance in iris segmentation and recognition.

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