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  1. 1
    Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining.

    Twofold Integer Programming Model for Improving Rough Set Classification Accuracy in Data Mining. by Saeed, Walid

    Published 2005
    “…The first task is to introduce a new rough model for minimum reduct selection and default rules generation, which is known as a Twofold Integer Programming (TIP). …”
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  2. 2
    Mobile game application development using evolutionary algorithms

    Mobile game application development using evolutionary algorithms by Ong, Jia Hui

    Published 2014
    “…This game contains no rules so that it can allow EP to generate the rules to be played by the mobile users. …”
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  3. 3
    Euclidean space data projection classifier with cartesian genetic programming (CGP)

    Euclidean space data projection classifier with cartesian genetic programming (CGP) by WK Wong, Gopal Lenin, Tan, Terence, Ali Chekima

    Published 2018
    “…This research work is a preliminary work which proposes an evolutionary-based classifier using a simplified Cartesian Genetic Programming (CGP) evolutionary algorithm. Instead on using evolutionary generated rule sets, the CGP generates i) a reference coordinate ii) projection functions to project data into a new 3 Dimensional Euclidean space. …”
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  4. 4
    Enhancing predictive crime mapping model using association rule mining for geographical and demographic structure

    Enhancing predictive crime mapping model using association rule mining for geographical and demographic structure by Asmai, S. A.

    Published 2014
    “…The other 40% of the dataset is used to test generated rules. A simple program of C++ is implemented using Microsoft Visual Studio to test generated rules until accuracy of performance is obtained. …”
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  5. 5
    Fuzzy modeling using Bat Algorithm optimization for classification

    Fuzzy modeling using Bat Algorithm optimization for classification by Noor Amidah, Ahmad Sultan

    Published 2018
    “…A Sazonov Engine which is a fuzzy java engine is use to apply Bat Algorithm in the experiment. …”
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  6. 6
    Propositional satisfiability method in rough classification modeling for data mining

    Propositional satisfiability method in rough classification modeling for data mining by Abu Bakar, Azuraliza

    Published 2002
    “…Therefore the search for the best rules must be performed because it is not possible to determine the quality of all rules generated from the information systems. …”
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  7. 7
    Automated synthesis of mobile game environments and rulesets using a hybridized interactive evolutionary programming approach

    Automated synthesis of mobile game environments and rulesets using a hybridized interactive evolutionary programming approach by Jia, Hui Ong, Teo, Jason Tze Wi

    Published 2014
    “…By hybridizing Evolutionary Programming (EP) with Interactive Evolutionary Algorithm (IEA), game rules and its playing environment will be automatically generated for an arcade-type game that can be played on the Android mobile platform. …”
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  8. 8
    Automatic generation of mobile content in entertainment applications using evolutionary computing

    Automatic generation of mobile content in entertainment applications using evolutionary computing by Teo, Jason Tze Wi, Chin, Kim On, Rayner Alfred, Ong Jia Hui

    Published 2010
    “…This game contains no rules so that it can allow Evolutionary Programming to generate the rules to be played by the mobile users. …”
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  9. 9
    Comprehensive power restoration approach using rule-based method for 11kV distribution network

    Comprehensive power restoration approach using rule-based method for 11kV distribution network by Khalid A.R., Ahmad S.M.S., Shakil A., Pa N.N., Shafie R.M.

    Published 2023
    “…This paper presents a restoration algorithm based on a Rule-Based approach. The algorithm is computationally programmed to provide multiple solutions and to recommend the best option of switching for a dispatcher. …”
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  10. 10
    Fault detection and diagnosis using rule-based support system on fatty acid fractionation column

    Fault detection and diagnosis using rule-based support system on fatty acid fractionation column by Yann, H. H., Ali, Mohamad Wijayanuddin, Kamsah, Mohd Zaki

    Published 2003
    “…Identification of causes, consequences and suggested actions for each deviation assisted by Hazard and Operability Study (HAZOP) analysis are generated into rule-based algorithm. Forward chaining strategy is used to interpret the rule-based system. …”
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  11. 11
    Fuzzy rules reduction using rough set approach

    Fuzzy rules reduction using rough set approach by Yusof, Norazah, Hamdan, Abdul Razak

    Published 2003
    “…This paper presents the use of Rough Set approach to compute reducts and generate concise fuzzy rules from a fuzzy rule base system of a student model. …”
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  12. 12
    Multiple and solid data background scheme for testing static single cell faults on SRAM memories

    Multiple and solid data background scheme for testing static single cell faults on SRAM memories by Zakaria, Nor Azura

    Published 2013
    “…Finally, based on the SQ generation rule, and the development of the DB generator, MTAs are generated. …”
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  13. 13
    Review on Dam and Reservoir Optimal Operation for Irrigation and Hydropower Energy Generation Utilizing Meta-Heuristic Algorithms

    Review on Dam and Reservoir Optimal Operation for Irrigation and Hydropower Energy Generation Utilizing Meta-Heuristic Algorithms by Chong K.L., Lai S.H., Ahmed A.N., Zaafar W.Z.W., Rao R.V., Sherif M., Sefelnasr A., El-Shafie A.

    Published 2023
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  14. 14
    Review on Dam and Reservoir Optimal Operation for Irrigation and Hydropower Energy Generation Utilizing Meta-Heuristic Algorithms

    Review on Dam and Reservoir Optimal Operation for Irrigation and Hydropower Energy Generation Utilizing Meta-Heuristic Algorithms by Chong K.L., Lai S.H., Ahmed A.N., Jaafar W.Z.W., Rao R.V., Sherif M., Sefelnasr A., El-Shafie A.

    Published 2023
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  15. 15
    IP algorithms in compact rough classification modeling

    IP algorithms in compact rough classification modeling by Bakar, Azuraliza Abu, Sulaiman, Md Nasir, Othman, Mohamed, Selamat, Mohd Hasan

    Published 2001
    “…The experimental result shows that the proposed IP algorithm has significantly reduced the number of rules generated from the obtained reducts with high percentage of classification accuracy. …”
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  16. 16
    Monotone Data Samples Do Not Always Produce Monotone Fuzzy If- Then Rules: Learning with Ad hoc and System Identification Methods

    Monotone Data Samples Do Not Always Produce Monotone Fuzzy If- Then Rules: Learning with Ad hoc and System Identification Methods by Chin, Ying Teh, Tay, Kai Meng, Chee, Peng Lim

    Published 2017
    “…As such, monotone fuzzy rule relabeling is useful. Besides that, a constrained non-linear programming method for FIS modelling is suggested, as a variant of the system identification method.…”
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  17. 17
    Exploration of educational building with cultural elements using shape grammar

    Exploration of educational building with cultural elements using shape grammar by Sebastian, Heng Junjie

    Published 2013
    “…Shape grammars are used for developing computational algorithms in production systems that generate geometric shapes. …”
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  18. 18
    A comprehensive power restoration approach using rule-based method for 11kV distribution network

    A comprehensive power restoration approach using rule-based method for 11kV distribution network by Khalid, Abd Rahman, Syed Ahmad Abdul Rahman, Sharifah Mumtazah, Shakil, Asma, Nik Pa, Nawar, Mohd Shafie, Roslin

    Published 2008
    “…This paper presents a restoration algorithm based on a Rule-Based approach. The algorithm is computationally programmed to provide multiple solutions and to recommend the best option of switching for a dispatcher. …”
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  19. 19
    Augmentation of basic-line-search and quick-simplex-method algorithms to enhance linear programming computational performance

    Augmentation of basic-line-search and quick-simplex-method algorithms to enhance linear programming computational performance by Nor Azlan, Nor Asmaa Alyaa

    Published 2021
    “…Finally, mathematical experimentation is proceeded concerning on verification and validation of the new algorithm. The verification performed through generated random problems via MATLAB has shown the new augmentation algorithm maintains to generate a lesser iteration number from the highest percentage of nonzero coefficients in constraints matrix (80%) and the biggest problem sizes (m = 100, n = 100) until to the lowest percentage of nonzero coefficients in constraints matrix (20%) and the smallest problem sizes (m = 5, n = 5). …”
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  20. 20
    Image clustering comparison of two color segmentation techniques

    Image clustering comparison of two color segmentation techniques by Subramaniam, Kavitha Pichaiyan

    Published 2010
    “…The clustering research is regarding the area of data mining and implementation of the clustering algorithms. …”
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