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» A methodology for automated fuzzy model generation
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IDEAL
2004
Springer
14 years 29 days ago
Generating and Applying Rules for Interval Valued Fuzzy Observations
Abstract. One of the objectives of intelligent data engineering and automated learning is to develop algorithms that learn the environment, generate rules, and take possible course...
André de Korvin, Chenyi Hu, Ping Chen
WSC
2008
13 years 10 months ago
Automating the development of Shipyard manufacturing models
Simulation results are often needed within a short time frame, while the development of simulation models can be time consuming. We develop a methodology to facilitate rapid gener...
Gabriel A. Burnett, Deborah J. Medeiros, Daniel A....
KBSE
2008
IEEE
14 years 2 months ago
Automated Mapping from Goal Models to Self-Adaptive Systems
Self-adaptive systems should autonomously adapt at run time to changes in their operational environment, guided by the goals assigned by their stakeholders. We present a tool that...
Mirko Morandini, Loris Penserini, Anna Perini
EWCBR
2000
Springer
13 years 11 months ago
Maintaining Case-Based Reasoning Systems Using Fuzzy Decision Trees
This paper proposes a methodology of maintaining Case Based Reasoning (CBR) systems by using fuzzy decision tree induction - a machine learning technique. The methodology is mainly...
Simon C. K. Shiu, Cai Hung Sun, Xizhao Wang, Danie...
IEAAIE
2004
Springer
14 years 29 days ago
Natural Language Requirements Analysis and Class Model Generation Using UCDA
This paper presents a methodology to automate natural language requirements analysis and class model generation based on the Rational Unified Process (RUP). Use-case language schem...
Dong Liu, Kalaivani Subramaniam, Armin Eberlein, B...