• 제목/요약/키워드: fuzzy compatible

검색결과 63건 처리시간 0.023초

ON FUZZY T2-AXIOMS AND FUZZY COMPACTNESS

  • Cho, Sung Ki;Chung, Dong Gweon
    • Korean Journal of Mathematics
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    • 제6권2호
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    • pp.155-164
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    • 1998
  • In this paper, the fuzzy $T_2$-axioms due to Hutton and Reilly, Ganguly and Saha and Sinha are characterized by using the notion of fuzzy closure. As consequences, we study the relation between the fuzzy $T_2$-axioms and give some examples which show that the axiom of fuzzy compactness, due to Ganguly and Saha, is not compatible with the fuzzy $T_2$-axioms.

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NEW CONCEPTS OF REGULAR INTERVAL-VALUED FUZZY GRAPHS

  • TALEBI, A.A.;RASHMANLOU, HOSSEIN;DAVVAZ, BIJAN
    • Journal of applied mathematics & informatics
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    • 제35권1_2호
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    • pp.95-111
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    • 2017
  • Recently, interval-valued fuzzy graph is a growing research topic as it is the generalization of fuzzy graphs. The interval-valued fuzzy graphs are more flexible and compatible than fuzzy graphs due to the fact that they allowed the degree of membership of a vertex to an edge to be represented by interval values in [0.1] rather than the crisp values between 0 and 1. In this paper, we introduce the concepts of regular and totally regular interval-valued fuzzy graphs and discusses some properties of the ${\mu}$-complement of interval-valued fuzzy graph. Self ${\mu}$-complementary interval-valued fuzzy graphs and self-weak ${\mu}$-complementary interval-valued fuzzy graphs are defined and a necessary condition for an interval valued fuzzy graph to be self ${\mu}$-complementary is discussed. We define busy vertices and free vertices in interval valued fuzzy graph and study their image under an isomorphism.

Group G-compatible fuzzy matrices

  • Lee, Hee-Jung;Choi, Kyu-Hyuck
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1996년도 추계학술대회 학술발표 논문집
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    • pp.56-61
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    • 1996
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COMMON COUPLED FIXED FOINT THEOREMS FOR NONLINEAR CONTRACTIVE CONDITION ON INTUITIONISTIC FUZZY METRIC SPACES WITH APPLICATION TO INTEGRAL EQUATIONS

  • Deshpande, Bhavana;Sharma, Sushil;Handa, Amrish
    • 한국수학교육학회지시리즈B:순수및응용수학
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    • 제20권3호
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    • pp.159-180
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    • 2013
  • We establish a common fixed point theorem for mappings under ${\phi}$-contractive conditions on intuitionistic fuzzy metric spaces. As an application of our result we study the existence and uniqueness of the solution to a nonlinear Fredholm integral equation. We also give an example to validate our result.

M-퍼지거리공간에서의 공통 부동점정리 (A Common Fixed Point Theorem in M-Fuzzy Metric Spaces)

  • Park, Jin-Han;Park, Jong-Seo;Park, Yong-Beom;Lee, Bu-Young
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2006년도 추계학술대회 학술발표 논문집 제16권 제2호
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    • pp.141-144
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    • 2006
  • In this paper, using the notion of generalized metric (or D-metric) due to Dhage [3], we give new definition of M-fuzzy metric spaces and prove a common fixed point theorem for two mappings under the condition of weak compatible and R-weakly commuting mappings in complete M-fuzzy metric spaces.

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초저전송율 동영상 부호기를 위한 퍼지 양자화 및 율 제어에 관한 연구 (Fuzzy Quantization and Rate Control for Very Low Bit­rate Video Coder)

  • 양근호
    • 한국정보통신학회논문지
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    • 제7권8호
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    • pp.1684-1690
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    • 2003
  • 본 논문에서는 H.263 부호기에서 적정 화질과 일정한 전송율을 유지하는 양자화 변수 추정을 위한 퍼지 제어기를 제안하였다. 퍼지화 방법으로는 Mamdani 방법을 이용하며, 역퍼지화는 무게중심법을 이용하였다. 움직임 벡터에 따른 시간적 특성을 추정할 때 공간영역에서 분산과 엔트로피는 시각적 특성과 상관관계가 있다. 따라서 퍼지 입력변수로 영상의 분산값, 엔트로피 및 움직임 벡터를 이용하였다. 퍼지 소속함수를 유도하고, 시각적 특성에 적합한 퍼지감도를 결정하였으며, FAM 뱅크를 설계하였다. 실제 동영상 압축에 퍼지 규칙을 적용하였으며, 퍼지 양자화를 이용하여 효율적인 율제어와 최적의 비트할당 및 주관적 화질 특성이 유지되는 결과를 얻었다.

퍼지 양자화를 이용한 초저전송률 동영상 부호기의 율제어 (Rate Control of Very Low Bit-Rate Video Coder using Fuzzy Quantization)

  • 양근호
    • 융합신호처리학회논문지
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    • 제5권2호
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    • pp.91-95
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    • 2004
  • 본 연구에서는 H.263 부호기에서 양자화 변수의 추정을 위한 퍼지 제어기를 제안한다. 퍼지화 방법으로는 Mamdani법을 이용하였으며, 비퍼지화는 무게 중심법을 이용한다. 퍼지 입력변수로는 영상의 분산값, 엔트로피 및 현재의 움직임 벡터와 이전 영상의 움직임 벡터를 이용한다. 분산값과 엔트로피는 공간영역 특징을 반영하며, 움직임 벡터는 시간영역의 특징을 반영한다. 시각적인 특성에 적합하게 퍼지변수를 결정하며 퍼지 소속함수를 유도하여, 퍼지 규칙의 수를 줄이도록 FAM bank를 설계한다. 퍼지 양자화를 실제 동영상 압축에 적용함으로써 복원영상의 화질 특성이 향상되고, 율제어가 효과적으로 이루어지는 결과를 얻을 수 있음을 보인다.

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Knowledge Representation Using Fuzzy Ontologies: A Survey

  • V.Manikandabalaji;R.Sivakumar
    • International Journal of Computer Science & Network Security
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    • 제23권12호
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    • pp.199-203
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    • 2023
  • In recent decades, the growth of communication technology has resulted in an explosion of data-related information. Ontology perception is being used as a growing requirement to integrate data and unique functionalities. Ontologies are not only critical for transforming the traditional web into the semantic web but also for the development of intelligent applications that use semantic enrichment and machine learning to transform data into smart data. To address these unclear facts, several researchers have been focused on expanding ontologies and semantic web technologies. Due to the lack of clear-cut limitations, ontologies would not suffice to deliver uncertain information among domain ideas, conceptual formalism supplied by traditional. To deal with this ambiguity, it is suggested that fuzzy ontologies should be used. It employs Ontology to introduce fuzzy logical policies for ambiguous area concepts such as darkness, heat, thickness, creaminess, and so on in a device-readable and compatible format. This survey efforts to provide a brief and conveniently understandable study of the research directions taken in the domain of ontology to deal with fuzzy information; reconcile various definitions observed in scientific literature, and identify some of the domain's future research-challenging scenarios. This work is hoping that this evaluation can be treasured by fuzzy ontology scholars. This paper concludes by the way of reviewing present research and stating research gaps for buddy researchers.

TRADE-OFFS BETWEEN FUEL ECONOMY AND NOX EMISSIONS USING FUZZY LOGIC CONTROL WITH A HYBRID CVT CONFIGURATION

  • Rousseau, A.;Saglini, S.;Jakov, M.;Gray, D.;Hardy, K.
    • International Journal of Automotive Technology
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    • 제4권1호
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    • pp.47-55
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    • 2003
  • The Center for Transportation Research at the Argonne National Laboratory (ANL) supports the DOE by evaluating advanced automotive technologies in a systems context. ha has developed a unique set of compatible simulation tools and test equipment to perform an integrated systems analysis project from modeling through hardware testing and validation. This project utilized these capabilities to demonstrate the trade-off in fuel economy and Oxides of Nitrogen (NOx) emissions in a so-called ‘pre-transmission’ parallel hybrid powertrain. The powertrain configuration (in simulation and on the dynamometer) consists of a Compression Ignition Direct Ignition (CIDI) engine, a Continuously Variable Transmission (CVT) and an electric drive motor coupled to the CVT input shaft. The trade-off is studied in a simulated environment using PSAT with different controllers (fuzzy logic and rule based) and engine models (neural network and steady state models developed from ANL data).

주가지수의 예측에 있어 Fuzzy Delphi 방법의 적용 (The Application of Fuzzy Delphi Method in Forecasting of the price index of stocks)

  • 김태호;강경식;김창은;박윤선;현광남
    • 산업경영시스템학회지
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    • 제15권26호
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    • pp.111-117
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    • 1992
  • In the stock marketing. investor needs speedy and accurate decision making for the investment. A stock exchange index provides the important index of the early of 1993 in Korea using Fuzzy Delphi Method(F. D. M) which is widely used to a mid and long range forecasting in decision making problem. In the Fuzzy Delphi method, considerably qualified experts an first requested to give their opinion seperately and without intercommunication. The forecasting data of experts consist of Triangular Fuzzy Number (T.F.N) which represents the pessimistic, moderate, and optimistic forecast of a stock exchange index. A statistical analysis and dissemblance index are then made of these subject data. These new information are then transmitted to the experts once again, and the process of reestimation is continued until the process converges to a reasonable stable forecast of stock exchange index. The goal of this research is to forecast the stock exchange index using F.D.M. in which subjective data of experts are transformed into quasi -objective data index by some statistical analysis and fuzzy operations. (a) A long range forecasting problem must be considered as an uncertain but not random problem. The direct use of fuzzy numbers and fuzzy methods seems to be more compatible and well suited. (b) The experts use their individual competency and subjectivity and this is the very reason why we propose the use of fuzzy concepts. (c) If you ask an expert the following question: Consider the forecasting of the price index of stocks in the near future. This experts wi11 certainly be more comfortable giving an answer to this question using three types of values: the maximum value, the proper value, and the minimum value rather than an answer in terms of the probability.

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