Implementation of Fuzzy Logic Technique in a Decision Support Tool: Basis for Choosing Appropriate Career Path

Comendador, Benilda Eleonor V.; Becbec, Wilmarie Faye C.; Guzman, John Rez P. de

doi:10.18178/ijmlc.2020.10.2.940

Cited by 7 publications

(7 citation statements)

References 4 publications

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“…The research employed a methodology based on the utilization of fuzzy logic. A study conducted by Comendador et al [25] has devised a Decision Support System that utilizes the Fuzzy Logic approach to address challenges associated with selecting academic majors. Based on the findings of this study, it can be inferred that Fuzzy Logic is a viable approach for facilitating decision-making processes.…”

Section: -1-career Path Selection System Using Fuzzy Logicmentioning

confidence: 99%

The Decision-Support Modeling with Fuzzy Analytic Hierarchy Process (AHP) to Determine the Career Path for Bachelor Informatics Students

Wijaya,

Gaol,

Matsuo

2024

Emerg Sci J

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The pursuit of success in one's chosen profession is a universal aspiration that requires individuals to engage in competition, not just domestically but also internationally, particularly in today's era of globalization. The rapid advancement of technology presents both opportunities and challenges, necessitating proactive management to achieve professional success. In the field of Informatics Engineering, there is a wide range of professional pathways, each offering unique opportunities and requiring distinct skill sets. For university graduates, it is crucial to have a comprehensive understanding of the specific requirements and demands associated with various job paths to make informed decisions. This knowledge enables them to select a professional route that aligns with their individual aspirations and goals, thereby avoiding potential discontent in their chosen career. Lack of knowledge or awareness during the decision-making process can negatively impact productivity and overall performance. There is a growing demand among university graduates, especially at the undergraduate level, for career-related information. This has led to heightened competition among graduates in terms of skills, knowledge, and availability. To effectively navigate this competitive landscape and engage in meaningful competition with fellow graduates, individuals must possess a comprehensive understanding of their desired career trajectory. To address these challenges, the Decision Support Model (MPK) can be utilized, employing the Fuzzy Analytical Hierarchy Process methodology. This approach considers four primary criteria—Financial Compensation, Non-Financial Compensation, Soft Skills, and Hard Skills—each with several sub-criteria. These criteria are evaluated based on the perspectives of certified graduates of Informatics Engineering and industry specialists. The study successfully identified the primary criteria influencing career decisions, such as job conditions, incentives, and prospects. It also highlighted the most favorable career path, with the role of a Data Analyst being identified as particularly promising. This career path involves roles within the field of Informatics Engineering that focus on processing data according to specific requirements, highlighting the importance of understanding the evolving landscape of technology and its impact on professional opportunities. Doi: 10.28991/ESJ-2024-08-01-011 Full Text: PDF

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Section: -1-career Path Selection System Using Fuzzy Logicmentioning

confidence: 99%

The Decision-Support Modeling with Fuzzy Analytic Hierarchy Process (AHP) to Determine the Career Path for Bachelor Informatics Students

Wijaya,

Gaol,

Matsuo

2024

Emerg Sci J

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“…The respondents evaluated the generated tool, and according to the evaluation's findings, the program satisfies its implied functions and is dependable, useable, and functional. [6] A system that recommends careers based on fuzzy analysis for seniors in high school: This essay presents a potential method for career recommenders that aims to help seniors in high school, as well as guidance counselors, in assisting them in examining a variety of variables related to their decision on which field they will pursue. Features that are irrelevant to the performance of the proposed fuzzy-based system will be eliminated, and a feature selection technique is appropriate.…”

Section: IImentioning

confidence: 99%

Career Recommendation System

Joshi¹,

Jadhav²,

Londase³

et al. 2023

IJRASET

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Career recommendation system aims to offer direction and assist students in selecting engineering streams with the help of a WebApp. Nowadays, there are more educational courses available, making it easier for students to pick courses that interest them. However, in the 22nd century, more than half of the youths do not exercise their freedom of choice and make wellinformed decisions. A number of factors contribute to this. One of the main reasons is the lack of awareness of all the available options. The other well-known hindrance is the family pressure of following a well-known or previously followed path when it comes to choosing a career. This results in candidates ending up in the wrong fields and dropping out of college midway through the course. As a result, time and money are wasted. Moreover, it may happen that a deserving candidate was denied a seat in an institution since its capacity was full at the start of the course. The proposed WebApp aims to develop a system that would suggest a course based on certain fundamental information about the student such as academic performance, extracurricular activities, personal interests and aims. The WebApp will try to mimic the role of a career counselor, use a chatbot to interact with the student and recommend to them the branches of engineering that align with their interests the most, by making use of Machine Learning to provide an unbiased recommendation

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“…Targeted sample Smart Recommender System for Learning objects [10] Personal learning patterns of students Canada Pcrs: Course selection recommender [11] Personal information, knowledge and expertise India Career-path recommender for engineering students [12] student's interest and skills, influence from peers and family India Career-path recommender for high-school students [13] Age, gender, grades and peer influence Philippines Career-path recommender [14] Career test Malaysia GSTEM-CAT: university-program recommender [15] student's personality type and knowledge test Philippines Personalized group-based recommender [16] Personalized recommendations based on students' competences and behaviour Malaysia civil, chemical, computer and electrical, and industrial engineering. Students do not have knowledge on the difference between engineering disciplines which affects their choice negatively [24].…”

Section: Factorsmentioning

confidence: 99%

“…As there is a relationship between personality types and career development and success [25]- [27], personality-based recommender systems were proposed to guide students in their search towards future careers [14], [15]. Example of such recommender systems is the one proposed in [15] which is a fuzzy recommender system designed to help college students to choose the appropriate university program based on their personality type and knowledge strength.…”

Section: Factorsmentioning

confidence: 99%

PCRS: Personalized Career-Path Recommender System for Engineering Students

2020

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Choosing a university specialization is a challenging decision for high-school students. Due to the lack of guidance and limited online resources, students base their decisions on subjective perceptions of family and friends. This increases the risk of high university dropout rates, and students changing their university disciplines. To address the aforementioned drawbacks, this research paper presents a Personalized Career-path Recommender System (PCRS) to provide guidance and help high school students choose engineering discipline. The design of PCRS is based on fuzzy intelligence of N-layered architecture and uses students' academic performance, personality type, and extra-curricular skills. The association between personality type and engineering discipline was built using a sample of 1250 engineering students enrolled in seven engineering disciplines at An-Najah National University. PCRS is implemented as a mobile application and it is tested against an evaluation sample of 177 engineers. The sample consists of graduate or undergraduate engineers who are satisfied with their engineering disciplines. The evaluation examined the agreement between the recommendations generated by PCRS and the 177 actual engineering discipline of the sample. The evaluation results proved a slight agreement between the suggested recommendations of PCRS and the actual discipline of the research sample. Hence, PCRS is capable of providing guidance to high-school students who are interested in pursuing their studies in Engineering. The PCRS application is the first career-path recommender to target Palestinian community and other developing countries in the MENA region. The design of PCRS is scalable and it can be expanded in the future to consider other academic majors of higher education.

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Implementation of Fuzzy Logic Technique in a Decision Support Tool: Basis for Choosing Appropriate Career Path

Cited by 7 publications

References 4 publications

The Decision-Support Modeling with Fuzzy Analytic Hierarchy Process (AHP) to Determine the Career Path for Bachelor Informatics Students

The Decision-Support Modeling with Fuzzy Analytic Hierarchy Process (AHP) to Determine the Career Path for Bachelor Informatics Students

Career Recommendation System

PCRS: Personalized Career-Path Recommender System for Engineering Students

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