Comparing Multi-Criteria Decision Making Models for Evaluating Environmental Education Programs

Kabassi, Κaterina

doi:10.3390/su132011220

Cited by 11 publications

(14 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, MCDM has different tools and methods that can be used in various fields, such as finance, engineering, and education, where decision makers compare different options based on multiple factors. For instance, in finance, MCDM can help portfolio managers balance risk and return [18,19,56]; in engineering, MCDM can help design engineers choose the best manufacturing contractors [47]; and in education, MCDM can help educators in assessing education quality standards for HEIs based on multiple criteria [57][58][59]. Therefore, based on the importance of the financial sustainability plan in HEIs, especially for answering this research question, two recent MCDM tools will be integrated for the case study at KAU.…”

Section: Multi-criteria Decision Making (Mcdm) Tools and Applicationsmentioning

confidence: 99%

A Novel Hybrid Approach for Prioritizing Investment Initiatives to Achieve Financial Sustainability in Higher Education Institutions Using MEREC-G and RATMI

Abdulaal,

Makki,

Al-Filali

2023

Sustainability

View full text Add to dashboard Cite

Financial sustainability is a crucial challenge for higher education institutions due to various challenges and constraints. This necessitates determining their investment priorities accurately based on multiple criteria to ensure a sustainable income. This study puts forward a novel, hybrid approach for prioritizing the financial sustainability plan investment initiatives in higher education institutions using an updated method for the removal effects of criteria with a geometric mean (MEREC-G) and ranking the alternatives based on the trace-to-median index (RATMI) techniques. The developed approach is applied to the strategic financial sustainability plan investment initiatives at King Abdulaziz University (KAU). The study’s results prioritized the investment initiatives based on quantitative and qualitative criteria with different weights. Results also revealed the potential initiatives that can be considered quick-winning initiatives. Furthermore, results determined one high-potential initiative for each of KAU’s financial sustainability plan pillars. Based on the results, the study recommended four steps that assist KAU in ranking the initiatives effectively. Implications of the novel approach include assisting decision makers in higher education institutions to evaluate investment initiative priorities based on objective and subjective criteria to ensure the financial sustainability of their institutions.

show abstract

Section: Multi-criteria Decision Making (Mcdm) Tools and Applicationsmentioning

confidence: 99%

A Novel Hybrid Approach for Prioritizing Investment Initiatives to Achieve Financial Sustainability in Higher Education Institutions Using MEREC-G and RATMI

Abdulaal,

Makki,

Al-Filali

2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…The teaching evaluation can be divided into pre-evaluation, intermediate evaluation, and post-evaluation according to the different evaluation functions as described below [4] .…”

Section: Evaluating Classification According To the Evaluation Functionmentioning

confidence: 99%

Evaluating Classification Research for Machine Translation Course Teaching

Wang

2022

JCER

View full text Add to dashboard Cite

eaching evaluation can be divided into different types, additionally their functions and applicable conditions are different. According to different standards, teaching evaluation can be divided into different types: (1) according to different evaluation functions, it can be divided into pre-evaluation, intermediate evaluation, and post-evaluation; (2) according to different evaluation reference standards, it can be divided into relative evaluation, absolute evaluation, and individual difference evaluation; (3) according to different evaluation and analysis methods, it can be divided into qualitative and quantitative evaluation; (4) according to the different evaluation subjects, it can be divided into self-evaluation and others’ evaluation. This paper introduced research work using different types of teaching evaluation in the machine translation course according to different situations. The research results showed that the rational selection of different types of teaching evaluation methods and the combination of these methods can greatly promote teaching.

show abstract

“…Inconsistencies were eliminated by ranking the performance scores using the weighted sum and weighted product methods. Kabassi [18] applied four MCDM methods (SAW, WPM, TOPSIS, and 'Preference Ranking Organization Method for Enrichment Evaluation II (PROMETHEE II)' to evaluate environmental education programs and compare their performance. According to the sensitivity analysis, the TOPSIS method was more sensitive, and the SAW method was more robust.…”

Section: Introductionmentioning

confidence: 99%

Exploring machine vision measurements through innovative cyclic-lead-follower statistical technique: an experimental study

Zende,

Pawade

2024

Eng. Res. Express

View full text Add to dashboard Cite

In metrology systems, machine vision systems are often utilized for non-contact inspection. The most important phase in ensuring measurement accuracy is camera calibration and estimation of pixel measurement errors, which establish the correspondence between image coordinates and object coordinates. Multiple calibration techniques improve the effectiveness of machine vision systems. However, a number of factors lead to variations in the camera calibration procedure, which must be optimized. This study explains a novel 'Cyclic-Lead-Follower' statistical methodology proposed for camera calibration and measurement to estimate the errors in pixel measurement, employing four slip gauges for measurement. Several multi-criteria decision-making techniques, including WSM, WPM, WASPAS, and TOPSIS, were used to optimize the results of the proposed Cyclic-Lead-Follower methods. The proposed Cyclic-Lead-Follower method improves the accuracy of the camera calibration and measurement system, which employs the exponential moving average statistical method when compared to the traditional calibration method. The proposed calibration method produces lower exponential moving average values than the traditional calibration method, with an average percentage error of approximately 46% in the exponential moving average. The use of an exponential moving average in a validation experiment of the Cyclic-Lead-Follower method decreased the measurement percentage errors, which were estimated to be 0.57%. The proposed method can be used in machine vision systems due to its robustness, accuracy, and cost-effectiveness.

show abstract

Comparing Multi-Criteria Decision Making Models for Evaluating Environmental Education Programs

Cited by 11 publications

References 53 publications

A Novel Hybrid Approach for Prioritizing Investment Initiatives to Achieve Financial Sustainability in Higher Education Institutions Using MEREC-G and RATMI

A Novel Hybrid Approach for Prioritizing Investment Initiatives to Achieve Financial Sustainability in Higher Education Institutions Using MEREC-G and RATMI

Evaluating Classification Research for Machine Translation Course Teaching

Exploring machine vision measurements through innovative cyclic-lead-follower statistical technique: an experimental study

Contact Info

Product

Resources

About