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 language | English |
|---|---|
| Title of host publication | 2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008 |
| DOIs | |
| State | Published - 2008 |
| Event | 2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008 - New York City, NY, United States Duration: May 19 2008 → May 22 2008 |
Other
| Other | 2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008 |
|---|---|
| Country | United States |
| City | New York City, NY |
| Period | 5/19/08 → 5/22/08 |
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All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Media Technology
Cite this
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 proceeding › Conference contribution
}
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.
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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 -