ورود
مقالات فارسیISIکنفرانسهاژورنالها

FUZZY RISK ANALYSIS BASED ON A NEW METHOD FOR RANKING GENERALIZED FUZZY NUMBERS

Publish place: Iranian Journal of Fuzzy Systems، Vol: 15، Issue: 3
Publish Year: 1397
نوع سند: مقاله ژورنالی
زبان: English
View: 107

This Paper With 23 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:
https://civilica.com/doc/1460411

شناسه ملی سند علمی:

JR_IJFS-15-3_008

تاریخ نمایه سازی: 17 خرداد 1401

Abstract:

Fuzzy risk analysis, as a powerful tool to address uncertain information, can provide an appropriate method for risk analysis. However, the previous fuzzy risk analysis methods still have some weaknesses. To overcome the weaknesses of existing fuzzy risk analysis methods, a novel method for ranking generalized fuzzy numbers is proposed for addressing fuzzy risk analysis problems. In the proposed method, a new value of ranking score is obtained based on ordered weighted averaging (OWA) operator. The proposed method takes into consideration of the different importance of the three scoring factors defuzzified value, height and spread. Comparing to some existing methods, the new method can get more reasonable results in some situations.

Keywords:

Fuzzy risk analysis , Generalized fuzzy numbers , Defuzzified value , OWA , Ranking fuzzy numbers , Ranking score

Authors

Wen Jiang

School of Electronics and Information, Northwestern Polytechnical University, Xi&#۰۳۹;an, Shaanxi, ۷۱۰۰۷۲, China

Dong Wu

School of Electronics and Information, Northwestern Polytechnical University, Xi&#۰۳۹;an, Shaanxi, ۷۱۰۰۷۲, China

Xiang Liu

Infrared Detection Technology Research & Development Center, Shanghai Institute of Spaceflight Control Technology, CASC, Shanghai, China

Feng Xue

School of Electronics and Information, Northwestern Polytechnical University, Xi&#۰۳۹;an, Shaanxi, ۷۱۰۰۷۲, China

Hanqing Zheng

Shanghai Institute of Spaceflight Control Technology, Shanghai, China

Yehang Shou

School of Electronics and Information, Northwestern Polytechnical University, Xi&#۰۳۹;an, Shaanxi, ۷۱۰۰۷۲, China

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :
  • B. S. Ahn, Compatible weighting method with rank order centroid: ...
  • E. Akyar, H. Akyar and S. A. D¨uzce, Fuzzy risk ...
  • L. Aliahmadipour and E. Eslami, GHFHC: Generalized hesitant fuzzy hierarchical ...
  • I. M. Aliev and Z. Kara, Fuzzy system reliability analysis ...
  • S. Aytar, Order intervals in the metric space of fuzzy ...
  • A. S. A. Bakar and A. Gegov, Ranking of fuzzy ...
  • S. J. Chen and S. M. Chen, Fuzzy risk analysis ...
  • S. M. Chen and J. H. Chen, Fuzzy risk analysis ...
  • S. M. Chen, A. Munif, G. S. Chen, H. C. ...
  • Appl., ۳۹(۷) (۲۰۱۲), ۶۳۲۰ – ۶۳۳۴ ...
  • S. M. Chen and K. Sanguansat, Analyzing fuzzy risk based ...
  • C. C. Chou, A generalized similarity measure for fuzzy numbers, ...
  • T. C. Chu and C. T. Tsao, Ranking fuzzy numbers ...
  • X. Deng, D. Han, J. Dezert, Y. Deng and Y. ...
  • X. Deng, W. Jiang and J. Zhang, Zero-sum matrix game ...
  • X. Deng, F. Xiao and Y. Deng, An improved distance-based ...
  • Y. Deng, Deng entropy, Chaos Soliton. Fract., ۹۱ (۲۰۱۶), ۵۴۹–۵۵۳ ...
  • A new similarity measure between type-۲ fuzzy numbers and fuzzy risk analysis [مقاله ژورنالی]
  • A. Ebrahimnejad and J. L. Verdegay, An efficient computational approach ...
  • Y. B. Gong, L. L. Dai and N. Hu, Multi-attribute ...
  • T. Hajjari, Fuzzy risk analysis based on ranking of fuzzy ...
  • W. Jiang, S. Wang, X. Liu, H. Zheng and B. ...
  • W. Jiang, B. Wei, Y. Tang and D. Zhou, Ordered ...
  • W. Jiang, B. Wei, J. Zhan, C. Xie and D. ...
  • W. Jiang and S.Wang, An uncertainty measure for interval-valued evidences, ...
  • Commun., ۱۲(۵) (۲۰۱۷), ۶۳۱–۶۴۴ ...
  • W. Jiang, C. Xie, M. Zhuang, Y. Shou and Y. ...
  • W. Jiang, C. Xie, M. Zhuang and Y. Tang, Failure ...
  • Intell., DOI:۱۰.۱۰۰۷/s۱۰۴۸۹-۰۱۶-۰۸۵۱-۶, ۴۶(۳) (۲۰۱۷), ۶۳۰–۶۴۰ ...
  • B. Kang, Y. Hu, Y. Deng and D. Zhou, A ...
  • J. Kerr-Wilson and W. Pedrycz, Some new qualitative insights into ...
  • L. Kovarova and R. Viertl, The generation of fuzzy sets ...
  • K. U. Madhuri, S. S. Babu and N. R. Shankar, ...
  • A. M. Nejad and M. Mashinchi, Ranking fuzzy numbers based ...
  • M. T. Nouei, A. V. Kamyad, M. R. Sarzaeem and ...
  • M. O’Hagan, Aggregating template or rule antecedents in real-time expert ...
  • G. Shafer, A Mathematical Theory of Evidence, Princeton University Press, ...
  • G. P. Silveira and L. C. D. Barros, Analysis of ...
  • E. B. Smith and R. Langari, Fuzzy multiobjective decision making ...
  • J. Wang, Y. Hu, F. Xiao, X. Deng and Y. ...
  • Y. J. Wang, Ranking triangle and trapezoidal fuzzy numbers based ...
  • Y. M. Wang, J. B. Yang, D. L. Xu and ...
  • S. H.Wei and S. M. Chen, Fuzzy risk analysis based ...
  • Syst. Appl., ۳۶(۲) (۲۰۰۹), ۲۲۸۵–۲۲۹۹ ...
  • D. Wu, X. Liu, F. Xue, H. Zheng, Y. Shou ...
  • R. R. Yager, Ranking fuzzy subsets over the unit interval, ...
  • R. R. Yager, On ordered weighted averaging aggregation operators in ...
  • V. F. Yu, H. T. X. Chi, L. Q. Dat, ...
  • L. A. Zadeh, Fuzzy sets, Information and Control, ۸ (۱۹۶۵), ...
  • L. A. Zadeh, A note on Z-numbers, Inform. Sciences, ۱۸۱(۱۴) ...
  • R. Zhang, X. Ran, C. Wang and Y. Deng, Fuzzy ...
  • Reliab. Eng. Int., ۳۲(۵) (۲۰۱۶), ۱۷۱۵–۱۷۳۰ ...
  • X. Zhang, Y. Deng, F. T. S. Chan, A. Adamatzky ...
    • نمایش کامل مراجع