Comprehensive Evaluation Model Based on Synthetic Importance Measure

Xiang Jun Ji; Zan  Zhang; Fa Chao Li

doi:10.4028/www.scientific.net/AMM.380-384.987

Paper Titles

A Method for Monitoring the Variations in the Upper Airway of Individual OSAHS Patients by Observing Two Acoustic Feature Tracks
p.971

Fault Diagnosis of Aircraft Engine Based on Order Analysis
p.975

Analog Circuit Fault Diagnosis Based on Levenberg-Marquardt Learning Algorithm
p.979

Analog Circuit Fault Diagnosis Based on Particle Swarm Optimization Algorithm and Adaptive Learning Rate Algorithm
p.983

Comprehensive Evaluation Model Based on Synthetic Importance Measure
p.987

Operating System for the Dynamic Belt Measurement
p.991

Precise Attitude Determination of Ship Based on Star Sensor
p.995

Fault Diagnosis Technology of Equipment System
p.1003

An Improved Multi-Scale Morphological Undecimated Wavelet Method and its Application in Rolling Bearing Fault Feature Extraction
p.1009

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 380-384Comprehensive Evaluation Model Based on Synthetic...

Comprehensive Evaluation Model Based on Synthetic Importance Measure

Abstract:

To solve the problem of attributes interdependence and correlation in comprehensive evaluation, the paper proposes to identify the relationships among the attributes from the decision information system based on the covering rough sets. It first shows a metric with the characteristics of fuzzy measure to measure the hidden importance of attributes, which can be seen as a reflection of the attributes correlation. Then the synthetic importance measure is given by incorporating it into the basic importance. Furthermore, the comprehensive valuation model is constructed by taking Choquet integral as an aggregation operator.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 380-384)

Pages:

987-990

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.380-384.987

Citation:

Cite this paper

Online since:

August 2013

Authors:

Xiang Jun Ji, Zan Zhang, Fa Chao Li

Keywords:

Comprehensive Evaluation, Covering Rough Sets, Decision Information System, Fuzzy Measure, Synthetic Importance Measure

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Z. Y. Wang, G. J. Klir, Fuzzy Measure Theory. Plenum Press, New York, (1992).

Google Scholar

[2] M. Radko, Fuzzy measure and integrals. Fuzzy Sets and Systems, 2005, 156: 365-370.

Google Scholar

[3] Z. Y. Wang, K. S. Leung, G. J. Klir, Applying fuzzy measures and nonlinear integrals in data mining. Fuzzy Sets and Systems, 2005, 156(3): 371-380.

DOI: 10.1016/j.fss.2005.05.034

Google Scholar

[4] N. Yasuo, T. Vicen, Fuzzy measures and integrals in evaluation strategies. Information Sciences, 2007, 177: 367-377.

Google Scholar

[5] E. F. Combarro, P. Miranda, Identification of fuzzy measures from sample data with genetic algorithms. Computers & Operations Research, 2006, 33: 3046-3066.

DOI: 10.1016/j.cor.2005.02.034

Google Scholar

[6] Jia Wang, Zhenyuan Wang, Using neural networks to determine Sugeno measures by statistics. Neural Networks, 1997, 10(1): 183-195.

DOI: 10.1016/s0893-6080(96)00080-9

Google Scholar

[7] Xizhao Wang, Yulin He, Lingcai Dong, Huanyu Zhao, Particle swarm optimization for determining fuzzy measures from data. Information Sciences, 2011, 181: 4230-4252.

DOI: 10.1016/j.ins.2011.06.002

Google Scholar

[8] Z. Pawlak, Rough sets. International Journal of Computer and information Science, 1982, 11: 341-356.

Google Scholar

[9] Qinghua Hu, Daren Yu, Jinfu Liu, Congxin Wu, Neighborhood rough set based heterogeneous feature subset selection, Information Sciences, 2008, 178: 3577-3594.

DOI: 10.1016/j.ins.2008.05.024

Google Scholar

[10] Zhanhong Shi, Zengtai Gong, The further investigation of covering-based rough sets: Uncertainty characterization, similarity measure and generalized models. Information Sciences, 2010, 180: 3745-3763.

DOI: 10.1016/j.ins.2010.06.020

Google Scholar

[11] G. Choquet, Theory of capacities. Annales de l' Institut Fourier, 1954, 5: 131-295.

Google Scholar

[12] Fachao Li, Zan Zhang, Chenxia Jin, Jiaoying Wang, A study of comprehensive evaluation method based on neighborhood covering information system. ICIC Express Letters, Part B: Applications, 2013, 4(3): 595-602.

Google Scholar