No. 18/2023

Online archive of Computer Science and Mathematical Modelling

No. 18/2023

1. Andrzej Ameljańczyk - Rankings of multi-aspect fuzzy sets in modelling the decision support systems

   Pages: 5 - 14
   Abstract: The paper presents a method of constructing rankings of fuzzy sets, in particular multi-aspect fuzzy sets. A new class of global membership functions based on the generalized Minkowski norm has been defined. Due to their properties, they can be an alternative to classical product functions. These functions can be used to construct rankings of multi-aspect fuzzy sets, which are an important element of decision support systems. The concepts presented in this paper are illustrated with a numerical example from the area of support of diagnostic decisions based on multi-aspect fuzzy sets.
   Keywords multi-aspect fuzzy set, global membership function, ranking of fuzzy set.
   Full article: 5_14_aameljanczyk_csmm_18_2023.pdf
2. D.S.Ruwankumara, E.R.A.D. Bandara - Analyzing the Factors Associated with Perceived English Oral Communication Skills among Undergraduates: A Case Study

   Pages: 15 - 19
   Abstract: This case study explore the factors influence the English oral communication skills of undergraduates of the Faculty of Science at the University of Colombo. 332 undergraduate participants were surveyed using stratified sampling based on their academic year and subject stream. The assessment of their oral communication skills encompassed four critical aspects: presenting ideas verbally, listening skills, providing feedback, and presentation abilities. Employing exploratory data analysis (EDA) and advanced statistical models including multivariate ridge, lasso, elastic net regression, and partial least square regression, the study uncovers the most significant factors influencing English oral communication skills were the results of English language-related exams taken during secondary education and undergraduate years. Students who performed well in these exams demonstrated superior communication skills, alongside the positive impact of extracurricular participation as revealed through EDA. The results of the study guide oral English communication practice for students’ future careers and educational.
   Keywords English oral communication, Multivariate regularized regression, Partial least square regression.
   Full article: 15_19_ruwankumara_csmm_18_2023.pdf
3. Niroshi Pirhaveen, Vijayanathan Senthooran - Investigation of the effectiveness of goal programming in Project Management Activities

   Pages: 21 - 32
   Abstract: The regulation of objectives that are inconsistent with the use of all related resources through the organization is the principal project management (PM) work. In present situations, the Project Manager is responsible for managing multiple conflicting objectives, these objectives are normally fuzzy owing to information will be insufficient and unavailable. At the earliest stage, it was difficult for the decision maker to develop a plan to shorten the total completion time, minimize the project total cost and maximize the quality of the project. The aim of this study is to compare a combination of fuzzy goal programming and grey linear programming techniques and multi objective integer grey programming model of programming with multiple fuzzy objectives (programming with fuzzy objectives) which is applied to a project management problem. This study provides a systematic decision-making framework for resolving PM decision issues with multiple goals in uncertain environments. A real-world numerical example is used to compare the different techniques in this study. Finally, the results determine the best method that gives the best combination of the parameters used for project activities. Results demonstrate that this model can be implemented as an effective tool.
   Keywords the iron triangle, time-cost-quality tradeoff, grey numbers.
   Full article: 21_32_npirhaveen_csmm_18_2023.pdf
4. Mateusz Mohr - Selected techniques for source code obfuscation in scripting languages

   Pages: 33 - 41
   Abstract: The article presents the most common techniques for obfuscating the source code of computer programs. Obfuscation is defined and demonstrated through simple and easy-to-understand examples of code written in scripting languages such as Python and JavaScript. Its applications are discussed, and it is shown how to easily make the analysis of one’s programs more difficult.
   Keywords code obfuscation, scripting languages.
   Full article: 33_42_mmohr_csmm_18_2023.pdf