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      직관 퍼지 와이블 분포에서 알파 컷 셋을 이용한 시스템 신뢰성 분석 = System Reliability Analysis Using α-Cut Set in Intuitionistic Fuzzy Weibull Distribution

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      Purpose This study is to analyze system reliability using fuzzy Weibull lifetime distribution in which scale parameters are assumed to be Intuitionistic Fuzzy Set (IFS) with α-cut set due to uncertainties and inaccuracy of data.
      Methods The IFS is utilized to present the information of membership function and non-membership function with the three intervals that include belief, disbelief and unbelief functions. The paper discusses the intuitionistic fuzzy Weibull system reliability models to assess the membership function and non-membership function by considering the different types of component intuitionistic fuzzy scale parameter. Due to the existence of different types of uncertainties, the three types of component TIFS (Triangular IFS) and TrIFS (Trapezoidal IFS) with α-cut set were presented for computing intuitionistic fuzzy system reliability in both series structure and parallel structure.
      Results The validity of proposed model is demonstrated by analyzing intuitionistic fuzzy Weibull system reliabilities with α-cut set using different types of intuitionistic fuzzy scale parameter. A numerical example is indicated to discuss the usefulness and practicality of the proposed model.
      Conclusions When conducting a group decision making for evaluating the intuitionistic fuzzy Weibull system reliability, α-cut set models proposed in this paper can be used to reflect various experts’ judgments on agreement, disagreement and undecidedness when evaluating system reliability.
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      Purpose This study is to analyze system reliability using fuzzy Weibull lifetime distribution in which scale parameters are assumed to be Intuitionistic Fuzzy Set (IFS) with α-cut set due to uncertainties and inaccuracy of data. Methods The IFS is ut...

      Purpose This study is to analyze system reliability using fuzzy Weibull lifetime distribution in which scale parameters are assumed to be Intuitionistic Fuzzy Set (IFS) with α-cut set due to uncertainties and inaccuracy of data.
      Methods The IFS is utilized to present the information of membership function and non-membership function with the three intervals that include belief, disbelief and unbelief functions. The paper discusses the intuitionistic fuzzy Weibull system reliability models to assess the membership function and non-membership function by considering the different types of component intuitionistic fuzzy scale parameter. Due to the existence of different types of uncertainties, the three types of component TIFS (Triangular IFS) and TrIFS (Trapezoidal IFS) with α-cut set were presented for computing intuitionistic fuzzy system reliability in both series structure and parallel structure.
      Results The validity of proposed model is demonstrated by analyzing intuitionistic fuzzy Weibull system reliabilities with α-cut set using different types of intuitionistic fuzzy scale parameter. A numerical example is indicated to discuss the usefulness and practicality of the proposed model.
      Conclusions When conducting a group decision making for evaluating the intuitionistic fuzzy Weibull system reliability, α-cut set models proposed in this paper can be used to reflect various experts’ judgments on agreement, disagreement and undecidedness when evaluating system reliability.

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      참고문헌 (Reference)

      1 최성운, "퍼지 베이지안 네트워크와 증거 이론을 이용한 FTA-FMEA 통합시스템에 의한 오류진단" 한국경영공학회 25 (25): 101-128, 2020

      2 최성운, "직관 퍼지 집합과 DST를 이용한 시스템 신뢰성 분석" 한국경영공학회 25 (25): 35-53, 2020

      3 최성운, "불확실한 환경하의 FMEA에서 Fuzzy DST/AHP, TOPSIS, Grey이론을 이용한 리스크 평가 적용방안" 한국경영공학회 24 (24): 65-87, 2019

      4 Janis V., "t-Norm Based Cuts of Intuitionistic Fuzzy Sets" 180 : 1134-1137, 2010

      5 Vishwakarma Y., "Uncertainty Analysis of an Industrial System Using Intuitionistic Fuzzy Set Theory" 7 (7): 73-83, 2016

      6 Akbari M. G., "Time-Dependent Intuitionistic Fuzzy System Reliability Analysis" 24 : 1441-1448, 2020

      7 Kumar M., "The Weakest t-Norm Based Intuitionistic Fuzzy Fault-Tree Analysis to Evaluate System Reliability" 51 : 531-538, 2012

      8 최성운, "TPM에서 퍼지 OEE 모형의 개발 및 분석" 한국경영공학회 23 (23): 87-103, 2018

      9 Ebranhimnejad A., "System Reliability Using Generalized Intuitionistic Fuzzy Rayleigh Lifetime Distribution" 13 (13): 97-113, 2018

      10 Kumar A., "System Reliability Analysis Based on Weibull Distribution and Hesitant Fuzzy Set, International Journal of Mathematical" 3 (3): 513-521, 2018

      1 최성운, "퍼지 베이지안 네트워크와 증거 이론을 이용한 FTA-FMEA 통합시스템에 의한 오류진단" 한국경영공학회 25 (25): 101-128, 2020

      2 최성운, "직관 퍼지 집합과 DST를 이용한 시스템 신뢰성 분석" 한국경영공학회 25 (25): 35-53, 2020

      3 최성운, "불확실한 환경하의 FMEA에서 Fuzzy DST/AHP, TOPSIS, Grey이론을 이용한 리스크 평가 적용방안" 한국경영공학회 24 (24): 65-87, 2019

      4 Janis V., "t-Norm Based Cuts of Intuitionistic Fuzzy Sets" 180 : 1134-1137, 2010

      5 Vishwakarma Y., "Uncertainty Analysis of an Industrial System Using Intuitionistic Fuzzy Set Theory" 7 (7): 73-83, 2016

      6 Akbari M. G., "Time-Dependent Intuitionistic Fuzzy System Reliability Analysis" 24 : 1441-1448, 2020

      7 Kumar M., "The Weakest t-Norm Based Intuitionistic Fuzzy Fault-Tree Analysis to Evaluate System Reliability" 51 : 531-538, 2012

      8 최성운, "TPM에서 퍼지 OEE 모형의 개발 및 분석" 한국경영공학회 23 (23): 87-103, 2018

      9 Ebranhimnejad A., "System Reliability Using Generalized Intuitionistic Fuzzy Rayleigh Lifetime Distribution" 13 (13): 97-113, 2018

      10 Kumar A., "System Reliability Analysis Based on Weibull Distribution and Hesitant Fuzzy Set, International Journal of Mathematical" 3 (3): 513-521, 2018

      11 Huang H., "Some Properties on the Cut Sets of Intuitionistic Fuzzy Sets" 5 (5): 475-481, 2013

      12 Veeramani V., "Some Characterisations of in Intuitionistic Fuzzy Set Theory"

      13 Shaw A. K., "Some Arithmetic Operations on Triangular Intuitionistic Fuzzy Number and Its Application on Reliability Evaluation" 2 (2): 363-382, 2012

      14 Choi S., "Risk Evaluation Using Belief Entropy and the Distance of Evidence in FMEA" 26 (26): 67-90, 2021

      15 Mahapatra G. S., "Reliability Evaluation Using Triangular Intuitionistic Fuzzy Numbers Arithmetic Operations, World Academy of Science" 26 : 574-581, 2009

      16 Garg H., "Reliability Analysis of the Engineering Systems Using Intuitionistic Fuzzy Set Theory" 2013 : 1-10, 2013

      17 Sharma M. K. Sharma V., "Reliability Analysis of a System Using Intuitionistic Fuzzy Sets" 2 (2): 431-440, 2012

      18 Kumar T., "Reliability Analysis of : G System Using Triangular Intuitionistic Fuzzy Numbers" 8 (8): 373-379, 2014

      19 Jana D. K., "Novel Arithmetic Operations on Type-2 Intuitionistic Fuzzy and Its Applications to Transportation Problems" 18 : 178-189, 2016

      20 Alhasan K. F. H., "Neutrosophic Weibull Distribution and Neutrosophic Family Weibull Distribution" 28 (28): 191-199, 2019

      21 Mahapatra G. S., "Intuitionistic Fuzzy Number and Its Arithmetic Operation with Application on System Failure" 7 (7): 92-107, 2013

      22 Albeanu G., "Intuitionistic Fuzzy Methods in Software Reliability Modeling" 1 (1): 1-5, 2010

      23 Mahapatra G. S., "Intuitionistic Fuzzy Fault Tree Analysis Using Intuitionistic Fuzzy Numbers" 5 (5): 1015-1024, 2010

      24 Dhanalakshmi A., "Intuitionistic Fuzzy Equations and Its Application on Reliability Evaluation" 3 (3): 38-46, 2015

      25 최성운, "ISO 26262 자동차 기능안전 시스템에서 ASIL 결정 및 평가의 확장모형 개발" 대한설비관리학회 22 (22): 39-55, 2017

      26 Kumar P., "Fuzzy System Reliability Using Intuitionistic Fuzzy Weibull Lifetime Distribution" 16 (16): 15-26, 2015

      27 Kumar M., "Fuzzy System Reliability Evaluation Using Time-Dependent Intuitionistic Fuzzy Sets" 44 (44): 50-66, 2013

      28 Kumar M., "Fuzzy System Reliability Analysis Using Different Types of Intuitionistic Fuzzy Numbers" 247-252, 2011

      29 Komal, "Fuzzy Reliability Analysis of the Compressor House Unit(CHU)System in a Coal Fired Thermal Power Plant Using TBGFLT Technique" 36 (36): 686-707, 2019

      30 Kumar J., "Fuzzy Reliability Analysis of a Pulping System in Paper Industry with General Distributions for all Random Variables" 4 (4): 1-14, 2017

      31 Kumar P., "Fuzzy Fault Tree Analysis Using Level Interval-Valued Fuzzy Numbers" 5 (5): 36-42, 2015

      32 Dutta P., "Fuzzy Arithmetic with and without Using-Cut Method : A Comparative Study" 2 (2): 99-107, 2011

      33 Bohra K. S., "Evaluating Fuzzy System Reliability Using Intuitionistic Fuzzy Rayleigh Lifetime Distribution, Mathematics in Engineering" 6 (6): 245-254, 2015

      34 Alasadi U. S., "Evaluating Fuzzy Reliability System Using Intuitionistic Fuzzy Set, Journal of University of Babylon" 26 (26): 313-321, 2018

      35 Kumar M., "Applying Weakest t-Norm Based Approximate Intuitionistic Fuzzy Arithmetic Operations on Different Types of Intuitionistic Fuzzy Numbers to Evaluate Reliability of PCBA Fault" 23 : 387-406, 2014

      36 Kumar M., "Analyzing Fuzzy System Reliability Using Arithmetic Operations on Different Types of Intuitionistic Fuzzy Numbers" 725-736, 2011

      37 Kumar P., "A Study of Reliability Models Based on Fuzzy Set Theoretic Approach" G.B. Plant University of Agriculture & Technology 2016

      38 Dutta P., "A Novel Arithmetic Technique for Generalized Interval-Valued Triangular Intuitionistic Fuzzy Numbers and Its Application in Decision Making" 12 : 72-120, 2018

      39 Garg H., "A Novel Approach for Analyzing the Reliability of Series-Parallel System Using Intuitionistic Fuzzy Numbers" 38 : 1021-2035, 2016

      40 Kumar M., "A Novel Approach for Analyzing Fuzzy System Reliability Using Different Types of Intuitionistic Fuzzy Failure Rates of Components" 51 : 288-297, 2012

      41 Rezvani S., "A New Type-2 Intuitionistic Exponential Triangular Fuzzy Number and Its Ranking Method with Centroid Concept and Euclidean Distance" 1-8, 2018

      42 Sharma P. K., "(α,β)-Cut of Intuitionistic Fuzzy Modules" 1 (1): 1-4, 2011

      43 Basnet D. K., "(α,β)-Cut of Intuitionistic Fuzzy Ideals" 16 (16): 22-27, 2010

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      2026 평가예정 재인증평가 신청대상 (재인증)
      2020-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2017-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2013-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-08-11 학술지명변경 한글명 : 한국보전경영학회지 -> 한국경영공학회지 KCI등재
      2006-07-21 학회명변경 한글명 : 한국보전경영학회 -> 한국경영공학회
      영문명 : 미등록 -> Korea Management Engineers Society
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      2005-03-22 학술지등록 한글명 : 한국보전경영학회지
      외국어명 : 미등록
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      2005-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2004-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2002-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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