Fuzzy confidence estimation of the parameter involving in the distribution of the total time on test for censored data

Shih-Chuan Cheng, John N. Mordeson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Data mining has captured the interest of researchers from many different as well as diverse fields of study such as data base systems, machine learning, statistics, cluster analysis, knowledge based systems. One of the major issues in data mining is the analysis of attribute relevance [8]. The basic idea is to come up with a measure that can be effectively used to quantify the relevance of an attribute in identifying a class or a concept. One possible application is the total failure time of censored data [5]. That is, the total time on test for censored data of a system with several components often plays an important role in the reliability theory. In some cases, all components of a system with several identical components may be put on test until an r-th smallest failure time occurs and the total time on test is subsequently calculated. The total time on test for censored data from exponentially distributed censored data has been proved to be an adequate statistic by Nair and Cheng [11] in light of the works by Skibinsky [12], Cheng and Mordeson [3], and others [1, 9, 13-15]. The test may be repeated for many times. As a result, since the total time on test until the r-th ordered failure time is observed will be recorded for each test, several total time on test (for censored data) for the same system are available for use in analyzing the reliability of the system. Fuzzy set theory was formalized by Zadeh [16]. Some fuzzy statistical techniques can found in [2, 17]. In this proposal, we are investigating the fuzzy estimation of the parameter of underlying probability distribution for total failure time of censored data.

Original languageEnglish
Title of host publication2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008
DOIs
StatePublished - 2008
Event2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008 - New York City, NY, United States
Duration: May 19 2008May 22 2008

Other

Other2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008
CountryUnited States
CityNew York City, NY
Period5/19/085/22/08

Fingerprint

Data mining
Statistics
Reliability theory
Fuzzy set theory
Cluster analysis
Knowledge based systems
Probability distributions
Learning systems

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Media Technology

Cite this

Cheng, S-C., & Mordeson, J. N. (2008). Fuzzy confidence estimation of the parameter involving in the distribution of the total time on test for censored data. In 2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008 [4531230] https://doi.org/10.1109/NAFIPS.2008.4531230

Fuzzy confidence estimation of the parameter involving in the distribution of the total time on test for censored data. / Cheng, Shih-Chuan; Mordeson, John N.

2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008. 2008. 4531230.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cheng, S-C & Mordeson, JN 2008, Fuzzy confidence estimation of the parameter involving in the distribution of the total time on test for censored data. in 2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008., 4531230, 2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008, New York City, NY, United States, 5/19/08. https://doi.org/10.1109/NAFIPS.2008.4531230
Cheng S-C, Mordeson JN. Fuzzy confidence estimation of the parameter involving in the distribution of the total time on test for censored data. In 2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008. 2008. 4531230 https://doi.org/10.1109/NAFIPS.2008.4531230
Cheng, Shih-Chuan ; Mordeson, John N. / Fuzzy confidence estimation of the parameter involving in the distribution of the total time on test for censored data. 2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008. 2008.
@inproceedings{64886e470c344bd5a90a7124b0389120,
title = "Fuzzy confidence estimation of the parameter involving in the distribution of the total time on test for censored data",
abstract = "Data mining has captured the interest of researchers from many different as well as diverse fields of study such as data base systems, machine learning, statistics, cluster analysis, knowledge based systems. One of the major issues in data mining is the analysis of attribute relevance [8]. The basic idea is to come up with a measure that can be effectively used to quantify the relevance of an attribute in identifying a class or a concept. One possible application is the total failure time of censored data [5]. That is, the total time on test for censored data of a system with several components often plays an important role in the reliability theory. In some cases, all components of a system with several identical components may be put on test until an r-th smallest failure time occurs and the total time on test is subsequently calculated. The total time on test for censored data from exponentially distributed censored data has been proved to be an adequate statistic by Nair and Cheng [11] in light of the works by Skibinsky [12], Cheng and Mordeson [3], and others [1, 9, 13-15]. The test may be repeated for many times. As a result, since the total time on test until the r-th ordered failure time is observed will be recorded for each test, several total time on test (for censored data) for the same system are available for use in analyzing the reliability of the system. Fuzzy set theory was formalized by Zadeh [16]. Some fuzzy statistical techniques can found in [2, 17]. In this proposal, we are investigating the fuzzy estimation of the parameter of underlying probability distribution for total failure time of censored data.",
author = "Shih-Chuan Cheng and Mordeson, {John N.}",
year = "2008",
doi = "10.1109/NAFIPS.2008.4531230",
language = "English",
isbn = "9781424423521",
booktitle = "2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008",

}

TY - GEN

T1 - Fuzzy confidence estimation of the parameter involving in the distribution of the total time on test for censored data

AU - Cheng, Shih-Chuan

AU - Mordeson, John N.

PY - 2008

Y1 - 2008

N2 - Data mining has captured the interest of researchers from many different as well as diverse fields of study such as data base systems, machine learning, statistics, cluster analysis, knowledge based systems. One of the major issues in data mining is the analysis of attribute relevance [8]. The basic idea is to come up with a measure that can be effectively used to quantify the relevance of an attribute in identifying a class or a concept. One possible application is the total failure time of censored data [5]. That is, the total time on test for censored data of a system with several components often plays an important role in the reliability theory. In some cases, all components of a system with several identical components may be put on test until an r-th smallest failure time occurs and the total time on test is subsequently calculated. The total time on test for censored data from exponentially distributed censored data has been proved to be an adequate statistic by Nair and Cheng [11] in light of the works by Skibinsky [12], Cheng and Mordeson [3], and others [1, 9, 13-15]. The test may be repeated for many times. As a result, since the total time on test until the r-th ordered failure time is observed will be recorded for each test, several total time on test (for censored data) for the same system are available for use in analyzing the reliability of the system. Fuzzy set theory was formalized by Zadeh [16]. Some fuzzy statistical techniques can found in [2, 17]. In this proposal, we are investigating the fuzzy estimation of the parameter of underlying probability distribution for total failure time of censored data.

AB - Data mining has captured the interest of researchers from many different as well as diverse fields of study such as data base systems, machine learning, statistics, cluster analysis, knowledge based systems. One of the major issues in data mining is the analysis of attribute relevance [8]. The basic idea is to come up with a measure that can be effectively used to quantify the relevance of an attribute in identifying a class or a concept. One possible application is the total failure time of censored data [5]. That is, the total time on test for censored data of a system with several components often plays an important role in the reliability theory. In some cases, all components of a system with several identical components may be put on test until an r-th smallest failure time occurs and the total time on test is subsequently calculated. The total time on test for censored data from exponentially distributed censored data has been proved to be an adequate statistic by Nair and Cheng [11] in light of the works by Skibinsky [12], Cheng and Mordeson [3], and others [1, 9, 13-15]. The test may be repeated for many times. As a result, since the total time on test until the r-th ordered failure time is observed will be recorded for each test, several total time on test (for censored data) for the same system are available for use in analyzing the reliability of the system. Fuzzy set theory was formalized by Zadeh [16]. Some fuzzy statistical techniques can found in [2, 17]. In this proposal, we are investigating the fuzzy estimation of the parameter of underlying probability distribution for total failure time of censored data.

UR - http://www.scopus.com/inward/record.url?scp=51149100141&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=51149100141&partnerID=8YFLogxK

U2 - 10.1109/NAFIPS.2008.4531230

DO - 10.1109/NAFIPS.2008.4531230

M3 - Conference contribution

AN - SCOPUS:51149100141

SN - 9781424423521

BT - 2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008

ER -