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An Assessment on Decision Support System Using the MOORA Method

An Assessment on Decision Support System Using the MOORA Method

Abstract

The (DSS) refers to technology based on computers that assists individuals or organisations in making sound decisions. By gathering and organising pertinent data, it offers a framework for analysing and assessing complicated situations. DSS allows users to explore multiple situations and analyse the potential effects of their decisions by integrating several decision-making models and methods. Real-time information, interactive interfaces, and data visualisation are provided to aid with intuitive decision making. DSS enhances decision-making processes by considering many elements, producing insights, and giving suggestions, thereby assisting users in making better informed and efficient judgements. It refers to computer-based technology that helps individuals or organisations make sound decisions. It analyses and interprets complicated data using technology, allowing people to obtain insights and assess probable consequences. DSS facilitates solving issues and making decisions processes through the incorporation of data management, modelling methodologies, and user-friendly interfaces. By offering appropriate information and analytical tools, it enables users to explore numerous possibilities, analyse risks, and uncover opportunities. DSS is a key tool in today's changing and data-driven corporate environment because of its capacity to speed decision-making and increase the quality of options. The significance of decision support system (DSS) research arises from its potential to revolutionise decision-making processes in a variety of sectors. Researchers can better grasp how technology may be utilised to help difficult decision-making activities by researching DSS. This research paves the way for the creation of more sophisticated and cleverer DSS tools that aid individuals and organisations make informed and optimum decisions. In addition, investigating the usefulness and usability of DSS aids in decision-making efficiency, accuracy, and risk reduction. Finally, research in this subject is critical to realising DSS's full potential, providing decision makers with effective tools to traverse the intricacies of the modern world. The MOORA (Multi-Objective Optimisation by Ratio Analysis) technique is a decision-making methodology that uses numerous criteria to assess options. This entails normalising the criteria, giving weights to represent their significance, and computing the benefit-to-cost ratios for each choice. The technique allows for fair comparisons while also providing a quantifiable measure of performance. These ratios are used to rate alternatives, assisting decision makers in selecting the most advantageous choice that advances many objectives. The MOORA technique gives a systematic and organised approach to multi-criteria decision making. Alternative parameters taken as STAMI 1, STAMI 2, STAMI 3, STAMI 4, STAMI 5, STAMI 6, STAMI 7. Evaluation parameters taken as Parents income, parents dependents, semester, GPA. in this paper STAMI 2 has the highest assessment value of 1.39 and STAMI 1 has the lowest assessment value of 0.04. decision support system shows the rank of alternative parameters. STAMI 1 in 7th rank. STAMI 2 in 1st rank. STAMI 3 in 3rd rank. STAMI 4 in 4th rank. STAMI 5 in 5th rank. STAMI 6 in 6th rank. STAMI 7 in 7th rank.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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