• Title/Summary/Keyword: Fuzzy mean open

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SOME REMARKS ON FUZZY MEAN OPEN, CLOSED AND CLOPEN SETS

  • SWAMINATHAN, A.;SANKARI, M.
    • Journal of applied mathematics & informatics
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    • v.39 no.5_6
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    • pp.743-749
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    • 2021
  • The purpose of this article is to study few properties of fuzzy mean open and fuzzy mean closed sets in fuzzy topological spaces. Further, the idea of fuzzy mean clopen set is introduced. It is observed that a fuzzy mean clopen set is both fuzzy mean open and fuzzy mean closed but the converse is not true.

FUZZY MEAN OPEN AND FUZZY MEAN CLOSED SETS

  • SWAMINATHAN, A.
    • Journal of applied mathematics & informatics
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    • v.38 no.5_6
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    • pp.463-468
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    • 2020
  • The purpose of this article is to study the concepts of fuzzy mean open and fuzzy mean closed sets in fuzzy topological spaces. Further, in what way they are similar to those of other. Also we discuss some properties of fuzzy mean open and fuzzy mean closed with fuzzy paraopen and fuzzy paraclosed sets in fuzzy topology.

ON FUZZY MAXIMAL, MINIMAL AND MEAN OPEN SETS

  • SWAMINATHAN, A.;SIVARAJA, S.
    • Journal of Applied and Pure Mathematics
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    • v.4 no.1_2
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    • pp.79-84
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    • 2022
  • We have observed that there exist certain fuzzy topological spaces with no fuzzy minimal open sets. This observation motivates us to investigate fuzzy topological spaces with neither fuzzy minimal open sets nor fuzzy maximal open sets. We have observed if such fuzzy topological spaces exist and if it is connected are not fuzzy cut-point spaces. We also study and characterize certain properties of fuzzy mean open sets in fuzzy T1-connected fuzzy topological spaces.

HESITANT FUZZY PARAOPEN AND HESITANT FUZZY MEAN OPEN SETS

  • SWAMINATHAN, A.;SIVARAJA, S.
    • Journal of Applied and Pure Mathematics
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    • v.4 no.3_4
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    • pp.141-150
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    • 2022
  • The aim of this article is to introduce hesitant fuzzy paraopen and hesitant fuzzy mean open sets in hesitant fuzzy topological spaces. Moreover we investigate and extend some properties of hesitant fuzzy mean open with hesitant fuzzy paraopen, hesitant fuzzy minmimal open and maximal open sets in hesitant fuzzy topological spaces.

Fuzzy BCMP Queueing Network Model for Performance Evaluation of Distributed Processing System (분산처리시스템의 성능평가를 위한 퍼지 BCMP 큐잉네트워크모델)

  • Chu, Bong-Jo;Jo, Jeong-Bok;U, Jong-Ho
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.39 no.1
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    • pp.14-22
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    • 2002
  • We propose the fuzzy BCMP queueing network model for the performance evaluation of distributed processing system with the ambiguous arrival rates of job, service requirements, and service rates of server by the network environments. This model is classified as the open and closed type whether or not the network accepts jobs from the system outside. We derived the measures for system performances such as the job average spending time, average job number in the system and server utilizations using fuzzy mean value analysis which can process the fuzzy factors for both types. Computer simulation was performed for verifying the effectiveness of derived equations of performance evaluation. The fuzzy BCMP queueing network model was evaluated according to the fuzzy arrival rates of job, the number of clients, and the fuzzy service requirements of job for each the open and closed type. The results were agreed with the predicted performance evaluations of the system.

Fault Diagnosis of 3 Phase Induction Motor Drive System Using Clustering (클러스터링 기법을 이용한 3상 유도전동기 구동시스템의 고장진단)

  • Park, Jang-Hwan;Kim, Sung-Suk;Lee, Dae-Jong;Chun, Myung-Geun
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.18 no.6
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    • pp.70-77
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    • 2004
  • In many industrial applications, an unexpected fault of induction motor drive systems can cause serious troubles such as downtime of the overall system heavy loss, and etc. As one of methods to solve such problems, this paper investigates the fault diagnosis for open-switch damages in a voltage-fed PWM inverter for induction motor drive. For the feature extraction of a fault we transform the current signals to the d-q axis and calculate mean current vectors. And then, for diagnosis of different fault patterns, we propose a clustering based diagnosis algorithm The proposed diagnostic technique is a modified ANFIS(Adaptive Neuro-Fuzzy Inference System) which uses a clustering method on the premise of general ANFIS's. Therefore, it has a small calculation and good performance. Finally, we implement the method for the diagnosis module of the inverter with MATLAB and show its usefulness.