Motivational Framework: Insights into Decision Support System Use and Decision Performance

Chan, Siew H.; Song, Qian

doi:10.5772/39462

Cited by 1 publication

(1 citation statement)

References 113 publications

(148 reference statements)

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“…The hierarchy then assists decision-makers to evaluate the various elements of the problem with respect to the elements that are above them in the hierarchy. However, limited by the number of evaluation criteria that are usually present in decision making as well as the usual differences in estimates made by experts as well as occasional incompatible matrices, AHP is still implementable in various fields [17]. It has been applied in various fields such as in product design, plant layout, maintenance frequency selection as well as in coming up with the choice for a logistic carrier.…”

Section: Analytic Hierarchy Process (Ahp)mentioning

confidence: 99%

A multi-criteria assessment of decision support systems in educational environments

Alowaigl

Al-Shqeerat

Hadwan

2021

IJEECS

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<span>Decision support systems (DSS) are useful business intelligence (BI) tools as they help managers in large organizations make the best out of many decisions. Decisions are based on various types of raw data, models, documents, knowledge, and past experiences. This paper examines numerous criteria of decision support systems in the educational environment. Two effective methods were discovered and applied in this research, the analytic hierarchy process (AHP) and simple multi-attribute rating technique (SMART). These methods were selected due to their abilities to deal with complex decisional environments in general and widely used in practice for the educational environment in specific. The performance of methods is compared using two datasets called xApi-Education and IPEDS datasets. The obtained results based on the measurement of space complexity showed the level of convergence and similarity between these two methods. However, the experiments show that the Simple Multi-Attribute Rating Technique outperformed the analytic hierarchy process in terms of accuracy, deviation, and time complexity measurement.</span>

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Section: Analytic Hierarchy Process (Ahp)mentioning

confidence: 99%