Case-and Confidence-Level-Based
Significance Ordering of Multiple Factors

ZHAO Yong; HUANG Ding-xuan; TANJian-xin

Volume 16 Issue 1

Feb. 2003

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Article Contents

Journal of Southwest Jiaotong University > 2003 > 16(1): 102-105.

ZHAO Yong, HUANG Ding-xuan, TANJian-xin. Case-and Confidence-Level-BasedSignificance Ordering of Multiple Factors[J]. Journal of Southwest Jiaotong University, 2003, 16(1): 102-105.

Citation:

ZHAO Yong, HUANG Ding-xuan, TANJian-xin. Case-and Confidence-Level-Based Significance Ordering of Multiple Factors[J]. Journal of Southwest Jiaotong University, 2003, 16(1): 102-105.

ZHAO Yong, HUANG Ding-xuan, TANJian-xin. Case-and Confidence-Level-BasedSignificance Ordering of Multiple Factors[J]. Journal of Southwest Jiaotong University, 2003, 16(1): 102-105.

Citation:

ZHAO Yong, HUANG Ding-xuan, TANJian-xin. Case-and Confidence-Level-Based Significance Ordering of Multiple Factors[J]. Journal of Southwest Jiaotong University, 2003, 16(1): 102-105.

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Case-and Confidence-Level-Based Significance Ordering of Multiple Factors

Publish Date: 25 Feb 2003

Abstract

Abstract

The significance ordering is one of the most important taches in researches concerned with multiple factors. Based on fuzzy cluster theory and significance principle in rough set theory, an objective method is proposed to determine the significance ordering of multiple factors, which is based on cases and fuzzy confidence levels. The procedures to abstract the significance of a factor from objective information are discussed in detail. An example is presented to show the application of the proposed method.
- fuzzy cluster analysis,
- fuzzy comprehensive evaluation,
- significance ordering,
- rough sets