Dengue notification system using fuzzy logic. - Tajul Rosli Bin Razak; Rosmawati Abd. Wahab; Muhammad Hermi Ramli (IC3INA, 2013)

Interpretability indices for hierarchical fuzzy systems. - T. R. Razak; Jonathan M. Garibaldi; Christian Wagner 002; Amir Pourabdollah; Daniele Soria (FUZZ-IEEE, 2017)

Interpretability and Complexity of Design in the Creation of Fuzzy Logic Systems - A User Study. - Tajul Rosli Bin Razak; Jonathan M. Garibaldi; Christian Wagner 002; Amir Pourabdollah; Daniele Soria (SSCI, 2018)

A Measure of Structural Complexity of Hierarchical Fuzzy Systems Adapted from Software Engineering. - Tajul Rosli Bin Razak; Jonathan M. Garibaldi; Christian Wagner 002 (FUZZ-IEEE, 2019)

A Simple Recommender Engine for Matching Final-Year Project Student with Supervisor. - Mohammad Hafiz Ismail; Tajul Rosli Bin Razak; Muhamad Arif Hashim; Alif Faisal Ibrahim (CoRR, 2019)

An Expert System Approach for determine the stage of UiTM Perlis Palapes Cadet Performance and Ranking Selection. - Tajul Rosli Bin Razak (CoRR, 2019)

Automated Data Integration, Cleaning and Analysis Using Data Mining and SPSS Tool For Technical School in Malaysia. - Tajul Rosli Bin Razak; Abdul Hapes Mohammed; Noorfaizalfarid Mohd Noor; Muhamad Arif Hashim (CoRR, 2019)

Reducing Honeypot Log Storage Capacity Consumption - Cron Job with Perl-Script Approach. - Iman Hazwam Abd Halim; Nur Muhammad Irfan Abu Hassan; Tajul Rosli Bin Razak; Muhammad Nabil Fikri Jamaluddin; Mohammad Hafiz Ismail (CoRR, 2019)

FuzzyR: An Extended Fuzzy Logic Toolbox for the R Programming Language. - Chao Chen 007; Tajul Rosli Bin Razak; Jonathan M. Garibaldi (FUZZ-IEEE, 2020)

An Improved Complexity Measure in Hierarchical Fuzzy Systems. - Tajul Rosli Bin Razak; Jonathan M. Garibaldi; Christian Wagner 002 (FUZZ-IEEE, 2020)

An Exploratory Study of Hierarchical Fuzzy Systems Approach in Recommendation System. - Tajul Rosli Bin Razak; Iman Hazwam Abd Halim; Muhammad Nabil Fikri Jamaludin; Mohammad Hafiz Ismail; Shukor Sanim Mohd Fauzi (CoRR, 2020)

Towards designing and measuring interpretable hierarchical fuzzy systems. - Tajul Rosli Bin Razak (2020)

Designing the Hierarchical Fuzzy Systems Via FuzzyR Toolbox. - Tajul Rosli Bin Razak; Chao Chen 007; Jonathan M. Garibaldi; Christian Wagner 002 (FUZZ-IEEE, 2021)

Toward a Framework for Capturing Interpretability of Hierarchical Fuzzy Systems - A Participatory Design Approach. - Tajul Rosli Bin Razak; Jonathan M. Garibaldi; Christian Wagner 002; Amir Pourabdollah; Daniele Soria (IEEE Trans. Fuzzy Syst., 2021)

Modelling Hierarchical Fuzzy Systems for Mango Grading via FuzzyR Toolkit. - Tajul Rosli Bin Razak; Nurul Hanan Anuar; Jonathan M. Garibaldi; Christian Wagner 002 (FUZZ-IEEE, 2022)

Decomposing Conventional Fuzzy Logic Systems to Hierarchical Fuzzy Systems. - Tajul Rosli Bin Razak; Nor Hanimah Kamis; Nurul Hanan Anuar; Jonathan M. Garibaldi; Christian Wagner 002 (FUZZ, 2023)

A Comprehensive Guideline to Design Interpretable Hierarchical Fuzzy Systems. - Tajul Rosli Bin Razak; Jonathan M. Garibaldi; Christian Wagner 002 (FUZZ, 2024)

Evaluating Machine Learning Algorithms for Predicting Financial Aid Eligibility: A Comparative Study of Random Forest, Gradient Boosting and Neural Network. - Mohammad Hafiz Ismail; Tajul Rosli Bin Razak; Noorfaizalfarid Mohd Noor; Azlan Abdul Aziz (IMCOM, 2024)