Renewal theory for T-iid random fuzzy variables

Applied Mathematical Sciences ◽

10.12988/ams.2016.65175 ◽

2016 ◽

Vol 10 ◽

pp. 2415-2428

Author(s):

Dug Hun Hong

Keyword(s):

Renewal Theory ◽

Fuzzy Variables ◽

Random Fuzzy Variables

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A note on renewal theory for T-iid random fuzzy variables

Applied Mathematical Sciences ◽

10.12988/ams.2016.68226 ◽

2016 ◽

Vol 10 ◽

pp. 2971-2979

Author(s):

Dug Hun Hong

Keyword(s):

Renewal Theory ◽

Fuzzy Variables ◽

Random Fuzzy Variables

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Key renewal theory for T-iid random fuzzy variables

Applied Mathematical Sciences ◽

10.12988/ams.2019.9236 ◽

2019 ◽

Vol 13 (7) ◽

pp. 315-329

Author(s):

Dug Hun Hong

Keyword(s):

Renewal Theory ◽

Fuzzy Variables ◽

Random Fuzzy Variables

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Construction of Random-Fuzzy Variables

Springer Series in Reliability Engineering - Measurement Uncertainty ◽

10.1007/978-0-387-46328-5_5 ◽

2007 ◽

pp. 87-98

Keyword(s):

Fuzzy Variables ◽

Random Fuzzy Variables

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The Combination of the Random-Fuzzy Variables

Measuring Uncertainty within the Theory of Evidence - Springer Series in Measurement Science and Technology ◽

10.1007/978-3-319-74139-0_18 ◽

2018 ◽

pp. 227-267

Author(s):

Simona Salicone ◽

Marco Prioli

Keyword(s):

Fuzzy Variables ◽

Random Fuzzy Variables

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Random Fuzzy Variables

Theory and Practice of Uncertain Programming - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-7908-1781-2_19 ◽

2002 ◽

pp. 295-308 ◽

Cited By ~ 2

Author(s):

Baoding Liu

Keyword(s):

Fuzzy Variables ◽

Random Fuzzy Variables

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Uncertainty estimation in measurement of micromechanical properties using random-fuzzy variables

Review of Scientific Instruments ◽

10.1063/1.2179408 ◽

2006 ◽

Vol 77 (3) ◽

pp. 035107 ◽

Cited By ~ 20

Author(s):

Qiang Zhu ◽

Zhuangde Jiang ◽

Zexiang Zhao ◽

Hairong Wang

Keyword(s):

Uncertainty Estimation ◽

Fuzzy Variables ◽

Micromechanical Properties ◽

Random Fuzzy Variables

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VLSI Circuit Measurement System Analysis Based on Random Fuzzy Variables

2018 Eighth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC) ◽

10.1109/imccc.2018.00228 ◽

2018 ◽

Cited By ~ 1

Author(s):

Yue Wang ◽

Dayu Zhang ◽

Song Zhang ◽

He Wang ◽

Shan Cong

Keyword(s):

Measurement System ◽

System Analysis ◽

Vlsi Circuit ◽

Fuzzy Variables ◽

Measurement System Analysis ◽

Random Fuzzy Variables

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The Mathematical Theory of Evidence and Measurement Uncertainty - Comparison of Measurement Results Expressed in Terms of Random-Fuzzy Variables

IEEE Instrumentation & Measurement Magazine ◽

10.1109/mim.2014.6968924 ◽

2014 ◽

Vol 17 (6) ◽

pp. 14-18

Author(s):

Simona Salicone

Keyword(s):

Measurement Uncertainty ◽

Mathematical Theory ◽

Fuzzy Variables ◽

Measurement Results ◽

Random Fuzzy Variables ◽

Theory Of Evidence

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The mathematical theory of evidence and measurement uncertainty - Expression and combination of measurement results via the random-fuzzy variables

IEEE Instrumentation & Measurement Magazine ◽

10.1109/mim.2014.6912200 ◽

2014 ◽

Vol 17 (5) ◽

pp. 36-44 ◽

Cited By ~ 3

Author(s):

Simona Salicone

Keyword(s):

Measurement Uncertainty ◽

Mathematical Theory ◽

Fuzzy Variables ◽

Measurement Results ◽

Random Fuzzy Variables ◽

Theory Of Evidence

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Uncertainty propagation through non-linear measurement functions by means of joint Random-Fuzzy Variables

2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings ◽

10.1109/i2mtc.2015.7151540 ◽

2015 ◽

Cited By ~ 5

Author(s):

Alessandro Ferrero ◽

Marco Prioli ◽

Simona Salicone

Keyword(s):

Uncertainty Propagation ◽

Linear Measurement ◽

Fuzzy Variables ◽

Non Linear ◽

Random Fuzzy Variables

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