Tuple Measure Model Based on CFI-Apriori Algorithm

For the completeness and accuracy of customers' requirements information in the mass customization paradigm, a method of ontology-driven personal requirements elicitation based on scenario was proposed. Firstly, customer scenario model and product requirements model based on ontology theory were constructed respectively. Association rules were mined with Apriori algorithm using the method of metarule. Scenario ontology was mapped to requirement ontology completely. Then, customers' personal requirements information was elicited completely and accurately. Finally, industrial case study has been performed to demonstrate the practicality and effectiveness of the proposed approach.

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A Cumulative Satisfaction Measure Model Based on Dynamic Customer Expectation

2007 International Conference on Wireless Communications, Networking and Mobile Computing ◽

10.1109/wicom.2007.847 ◽

2007 ◽

Cited By ~ 1

Author(s):

Zhi-Gang Shou ◽

Feng Wang ◽

Jian-Min Jia

Keyword(s):

Satisfaction Measure ◽

Customer Expectation ◽

Model Based ◽

Measure Model

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An empirical research of probability of default measure model based on Chinese stock market high frequency data

2011 International Conference on Business Management and Electronic Information ◽

10.1109/icbmei.2011.5920534 ◽

2011 ◽

Author(s):

Ma Ruowei ◽

Bai Yukun

Keyword(s):

Stock Market ◽

Empirical Research ◽

High Frequency ◽

High Frequency Data ◽

Probability Of Default ◽

Chinese Stock Market ◽

Frequency Data ◽

Model Based ◽

Measure Model

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The slack-based measure model based on supporting hyperplanes of production possibility set

Expert Systems with Applications ◽

10.1016/j.eswa.2015.03.032 ◽

2015 ◽

Vol 42 (19) ◽

pp. 6522-6529 ◽

Cited By ~ 8

Author(s):

A. Hadi-Vencheh ◽

J. Jablonsky ◽

A. Esmaeilzadeh

Keyword(s):

Production Possibility ◽

Model Based ◽

Supporting Hyperplanes ◽

Measure Model ◽

Production Possibility Set

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Discussion and Analysis on the Application of Passive Network Model Based on APRIORI Algorithm and Time Series Dimensions

2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications( AEECA) ◽

10.1109/aeeca49918.2020.9213525 ◽

2020 ◽

Author(s):

Zipei Tan ◽

Zinan Yang ◽

Qu Luo

Keyword(s):

Time Series ◽

Network Model ◽

Apriori Algorithm ◽

Model Based ◽

Passive Network

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A new video similarity measure model based on video time density function and dynamic programming

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2011.5946625 ◽

2011 ◽

Cited By ~ 3

Author(s):

Junfeng Jiang ◽

Xiao-Ping Zhang ◽

Alexander C. Loui

Keyword(s):

Dynamic Programming ◽

Density Function ◽

Similarity Measure ◽

Model Based ◽

Measure Model ◽

Time Density

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Measurement of Risk Based on QR-GARCH-EVT Model

Applied Mathematics and Nonlinear Sciences ◽

10.2478/amns.2020.2.00025 ◽

2020 ◽

Vol 0 (0) ◽

Author(s):

Jun Duan ◽

Baoshuai Zhang

Keyword(s):

Risk Measure ◽

Garch Model ◽

Rate Of Return ◽

Financial Asset ◽

Significance Level ◽

Index Data ◽

Model Based ◽

Extreme Risk ◽

Measure Model

AbstractThis paper described the volatility characteristic of the rate of return of financial asset by using QR-GARCH model, through introducing EVT model and constructing the extreme risk measure model based on QR-GARCH-EVT. In this paper, HS300 index data test was applied to show that under 5% significance level, and QR-GARCH-EVT model can effectively measure the risk value of the sample, but under 1% significance level. QR-GARCH-EVT model will underestimate the risk value of the sample to a certain degree, but generally speaking, compared with other models, the risk value measured by QR-GARCH-EVT model has a higher accuracy to enhance effectiveness.

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