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Demand forecasting of short life cycle products using data mining techniques (2020)
Conference Proceeding
Afifi, A. (2020). Demand forecasting of short life cycle products using data mining techniques. In Artificial Intelligence Applications and Innovations. AIAI 2020

Products with short life cycles are becoming increasingly common in many industries due to higher levels of competition, shorter product development time and increased product diversity. Accurate demand forecasting of such products is crucial as it p... Read More about Demand forecasting of short life cycle products using data mining techniques.

A study of heuristic evaluation measures in fuzzy rule induction (2018)
Book Chapter
Afifi, A. A. (2018). A study of heuristic evaluation measures in fuzzy rule induction. In L. Iliadis, I. Maglogiannis, & V. Plagianakos (Eds.), Artificial Intelligence Applications and Innovations, 533-545. Springer, Tiergartenstra├če 17, 69121 Heidelberg, Germany

The rule induction process could be conceived as a search process,and hence an evaluation metric is needed to estimate the quality of rules found in the search space and to direct the search towards the best rule. The evaluation measure is the most... Read More about A study of heuristic evaluation measures in fuzzy rule induction.

A fuzzy rule induction algorithm for discovering classification rules (2016)
Journal Article
Afify, A. A., & Afifi, A. (2016). A fuzzy rule induction algorithm for discovering classification rules. Journal of Intelligent and Fuzzy Systems, 30(6), 3067-3085. https://doi.org/10.3233/IFS-152034

© 2016 - IOS Press and the authors. All rights reserved. Recently, the topic of data mining has attracted considerable attention from both academia and industry. Data mining is the process of extracting useful knowledge from large amounts of data. Am... Read More about A fuzzy rule induction algorithm for discovering classification rules.

FuzzyRULES-II: A new approach to fuzzy rule induction from numerical data (2016)
Journal Article
Afify, A. A., & Afifi, A. (2016). FuzzyRULES-II: A new approach to fuzzy rule induction from numerical data. Frontiers in Artificial Intelligence and Applications, 281, 91-100. https://doi.org/10.3233/978-1-61499-619-4-91

© 2016 The authors and IOS Press. All rights reserved. Data mining is a broad area that integrates research efforts from several fields with the aim of processing large volumes of data into knowledge bases for better decision making. Since numerical... Read More about FuzzyRULES-II: A new approach to fuzzy rule induction from numerical data.

FuzzySRI-II A fuzzy rule induction algorithm for numerical output prediction (2014)
Presentation / Conference
Afifi, A. (2014, July). FuzzySRI-II A fuzzy rule induction algorithm for numerical output prediction. Paper presented at World Congress on Engineering (WCE-2014), London, UK

Current inductive learning algorithms have difficulties handling attributes with numerical output values. This paper presents FuzzySRI-II, a new fuzzy rule induction algorithm for the prediction of numerical outputs. FuzzySRI-II integrates the compre... Read More about FuzzySRI-II A fuzzy rule induction algorithm for numerical output prediction.

Scheduling flow shop manufacturing systems considering agility issues (2014)
Journal Article
Nasr, E. S. A., Afifi, A., Osman, M., & Elatty, S. A. (2014). Scheduling flow shop manufacturing systems considering agility issues. International Journal of Collaborative Enterprise, 4(3), 205. https://doi.org/10.1504/IJCENT.2014.066331

Agile manufacturing is concerned with responding quickly to customer needs and market changes while still controlling costs and quality. Although several studies have been conducted in agile manufacturing, the scheduling of agile systems still needs... Read More about Scheduling flow shop manufacturing systems considering agility issues.

A novel algorithm for fuzzy rule induction in data mining (2013)
Journal Article
Afifi, A. (2014). A novel algorithm for fuzzy rule induction in data mining. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 228(5), 877-895. https://doi.org/10.1177/0954406213492273

Rule induction as a method of constructing classifiers is of particular interest to data mining because it generates models in the form of If-Then rules which are more expressive and easier for humans to comprehend and check. Several induction algori... Read More about A novel algorithm for fuzzy rule induction in data mining.


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