Using the AHP and TOPSIS methods for decision making in best course selection after HSC

Lokare, Varsha T.; Jadhav, P. M.

doi:10.1109/iccci.2016.7479937

Cited by 23 publications

(12 citation statements)

References 6 publications

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“…The study concluded that there are 17 significant challenges which categorized into five dimensions: software, technical, institutional, personal, and cultural components. Lokare & Jadhav [5] employed AHP and TOPSIS for course selection that addressed student priorities. Lucas et al [6] presented a framework for evaluationg workshops designed for teachers based on AHP.…”

Section: Mcdm Applications In the Educational Fieldmentioning

confidence: 99%

Evaluation Of University Research Centers Performance Using Combined Multi-Criteria Decision-Making Model

Noaman¹,

Bafail²,

Abdulaal³

et al. 2022

IJAERA

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Multi-Criteria Decision-Making (MCDM) focuses on reaching the best possible results in complex scenarios with conflicting criteria. The goal of this paper is to evaluate and rank the 26 research centres’ outputs at a large public university using some MCDM techniques. While the current method of evaluating and ranking research centers in that university is based on weighting processes developed by a group of University experts, this paper incorporates Analytic Hierarchy Process (AHP), Stepwise Weight Assessment Ratio Analysis (SWARA), and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) among other MCDM techniques. The AHP was utilized to check for consistency across expert-determined criteria importance, followed by SWARA which was used to find the relative criteria weights. The TOPSIS methodology was then applied to rank research centers at that University as “alternatives”. The Spearman’s correlation coefficient between the present rank and the suggested rank from the integrated AHP-SWARA-TOPSIS model was calculated. Based on the obtained correlation coefficients from Spearman’s technique, it is encouraging to use the proposed model as the number of centers increases.

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Section: Mcdm Applications In the Educational Fieldmentioning

confidence: 99%

Evaluation Of University Research Centers Performance Using Combined Multi-Criteria Decision-Making Model

Noaman¹,

Bafail²,

Abdulaal³

et al. 2022

IJAERA

View full text Add to dashboard Cite

show abstract

“…Kecek and Soylemez [10] proposed a model based on the combination of AHP and TOPSIS for solving the postgraduate studies course selection problem. A combination of AHP and TOPSIS techniques was used by Lokare and Jadhav [18] to solve the course selection problem. The best course was chosen from among four alternative courses (disciplines): Bachelor of Art, tourism, management, and journalism while considering attributes such as interest, employment opportunity, and duration.…”

Section: Related Workmentioning

confidence: 99%

A Decision Support System for Subject Area Selection for Students Transiting from Junior Secondary School to Senior Secondary School

Aziken

Emovon

2021

SN COMPUT. SCI.

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The majority of Junior Secondary School (JSS 3) students find it extremely challenging to select the most appropriate subject area for Senior Secondary School 1(SSS 1) due to diverse conflicting decision criteria such as friends and parents' influence in the decision-making process. The decision problem is extremely important for the students and the society at large because making the wrong choice may negatively affect the students' academic performance at the senior secondary school level and the tertiary school level. To assist students in making the appropriate choice for their future career development a decision support system based on the VIKOR method is presented. The technique has substantial mathematical calculation and to make the use of the tool simple it was implemented in PHP programming language. The decision support system software was tested with an example of a JSS 3 student transiting to SSS1 subject area selection problem. Three alternative subject areas: science, social science, and art are considered. The performance of the three subject areas was evaluated with respect to five decision criteria: student academic performance, parents influence, student interest, career prospect, and friends/peers' influence. The result of the analysis showed that science is the best subject area for the student. The developed software is flexible as it can solve multicriteria decision problem with numerous alternatives and decision criteria. The decision support system software was further validated by using it to analyse a decision problem in the literature previously solved with a TOPSIS based license software. The analysis showed that the decision support system software produces the same result as the TOPSIS based license software.

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“…en, the best result could be gained by comparing these gaps. e symbols utilized in the flowchart are described as follows [32]. e initial strategies produced by SPEA2 are represented by P, and these strategies form two sets, i.e., propagation time strategies T and load balance variance strategies L, where T � T 1 , T 2 , .…”

Section: Optimal Strategy Selection By Topsismentioning

confidence: 99%

A Task Offloading Method with Edge for 5G-Envisioned Cyber-Physical-Social Systems

Jiang

Zhang

2020

Security and Communication Networks

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Recently, Cyber-Physical-Social Systems (CPSS) have been introduced as a new information physics system, which enables personnel organizations to control physical entities in a reliable, real-time, secure, and collaborative manner through cyberspace. Moreover, with the maturity of edge computing technology, the data generated by physical entities in CPSS are usually sent to edge computing nodes for effective processing. Nevertheless, it remains a challenge to ensure that edge nodes maintain load balance while minimizing the completion time in the event of the edge node outage. Given these problems, a Unique Task Offloading Method (UTOM) for CPSS is designed in this paper. Technically, the system model is constructed firstly and then a multi-objective problem is defined. Afterward, Improving the Strength Pareto Evolutionary Algorithm (SPEA2) is utilized to generate the feasible solutions of the above problem, whose aims are optimizing the propagation time and achieving load balance. Furthermore, the normalization method has been leveraged to produce standard data and select the global optimal solution. Finally, several necessary experiments of UTOM are introduced in detail.

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Using the AHP and TOPSIS methods for decision making in best course selection after HSC

Cited by 23 publications

References 6 publications

Evaluation Of University Research Centers Performance Using Combined Multi-Criteria Decision-Making Model

Evaluation Of University Research Centers Performance Using Combined Multi-Criteria Decision-Making Model

A Decision Support System for Subject Area Selection for Students Transiting from Junior Secondary School to Senior Secondary School

A Task Offloading Method with Edge for 5G-Envisioned Cyber-Physical-Social Systems

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