Multi Criteria Decision Making methods for Information System Selection: A Comparative Study

Daghouri, Ansar; Mansouri, Khalifa; Qbadou, Mohammed

doi:10.1109/icecocs.2018.8610579

Cited by 6 publications

(9 citation statements)

References 15 publications

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“…This technique is otherwise known as the Fuzzy TOPSIS approach and came into existence as a result of efforts to provide a framework for choosing the ideal alternative [12]. The decision is made based on the most and closest distance between the negative ideal solution and the positive ideal solution [13].…”

Section: Introductionmentioning

confidence: 99%

Mobile Mathematics Learning Application Selection using Fuzzy TOPSIS

Başaran¹,

Homsi²

2022

IJACSA

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Impressive evolution of technology increased the usage frequency of smart mobile phones, and hence abundance in the quantity of available mobile applications has emerged as the vital problem of inventing practical and efficient ways for selecting suitable mobile applications for the desired use. Today, there are almost three million apps only at the Google Play store. Therefore, the need for an automated, effective, and less timeconsuming approach towards suitable mobile application selection to choose the best alternative has gained more significance than ever. Despite the sudden growth in mobile learning applications, there exists a dearth of research in the effective way of selecting a suitable mobile application in that respect particularly in relation to mobile apps for Mathematics. Moreover, using multi-criteria decision-making methods (MCDM) is only recently applied in rare studies for that purpose. This paper focused on ISO/IEC 25010 software quality standards in selecting mobile Mathematics learning applications. Six highly rated applications were evaluated by two experts. This paper aims to apply the fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to retrieve the best alternative among present applications. The results showed an objective and flexible assessment for ranking to eliminate ambiguity in decision-making. Results also identified significant features thus rendering a useful and valuable tool for decisionmakers. The study assists users, teachers/instructors, students in their decision-making processes regarding finding the most suitable application for Mathematics.

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Section: Introductionmentioning

confidence: 99%

Mobile Mathematics Learning Application Selection using Fuzzy TOPSIS

Başaran¹,

Homsi²

2022

IJACSA

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“…Column "Rank" shows the final WSM ranks for the factors used to select the LFSs. Following is a summation of whole PFs using the equation proposed by [109,110].…”

Section: Weighted Sum Methods (Wsm)mentioning

confidence: 99%

“…WPM is very similar to the WSM, the essential variation is that instead of summation in the mathematical expression there is multiplication [109,110]. Similar to WSM, the weight of factors equals to each other.…”

Section: Weighted Product Model (Wpm)mentioning

confidence: 99%

“…We used the same weight of the classes used in WSM (Table 3 column "Rank") to select the suitable LFSs. Equation (4) suggested by Bridgman (1922) was implemented [109].…”

Section: Weighted Product Model (Wpm)mentioning

confidence: 99%

“…This method is reliable because the decision makers may desire a decision not only on the most suitable LFSs but also to avoid unsuitable sites [113]. Following steps that have been used to implement TOP-SIS method [71,[109][110][111][112][114][115][116][117][118][119]. As a first step, we utilized the same weight of the classes in Table 3 (column "Rank") to build the TOPSIS method.…”

Section: Technique For Order Performance By Similarity To An Ideal Solution (Topsis)mentioning

confidence: 99%

See 2 more Smart Citations

Insights for Landfill Site Selection Using GIS: A Case Study in the Tanjero River Basin, Kurdistan Region, Iraq

et al. 2021

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The increasing world population and the growing quantity of solid waste have become a challenging problem facing governments and policy makers because of the scarcity of suitable sites for new landfills and the negative perception of these sites by the people. This study aims to evaluate the performance of different Multi-Criteria Decision-Analysis (MCDA) approaches using remote sensing and Geographic Information System (GIS) data for identifying suitable landfill sites (LFSs). We evaluated the methodologies used by various investigators and selected appropriate ones as suitable sites for Municipal Solid Waste (MSW) landfill in the Tanjero River Basin (TRB) in the Iraqi Kurdistan region. We applied Boolean Overlay (BO), Weighted Sum Method (WSM), Weighted Product Method (WPM), Analytic Hierarchy Process (AHP), and Technique for Order Performance by Similarity to an Ideal Solution (TOPSIS) to allow combined use of 15 thematic layers as predictive factors (PFs). In this study, we applied the Topographic Position Index (TPI) for the first time to select MSW LFSs. Almost all methods showed reliable results and we identified eight suitable sites situated in the western part of the TRB having total area of ~18.35 km2. The best accuracy was achieved using the AHP approach. This paper emphasizes that the approach of the used method is useful for selecting LFSs in other areas, which are located in similar environments.

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For a Dynamic Web Services Discovery Model for Open Ecosystems of Software Providers

Rabelo

Ruiz

Cancian

2020

IFIP Advances in Information and Communication Technology

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With the increasing adoption of business models relaying on Cloud Computing, digital platforms and servitization, IT providers have been transforming their solutions into services-based, having as a goal facilitating their binding to clients' applications. In this formed wide and open service-oriented environment, classical static services binding approaches are limited to support the business dynamics of Virtual Organizations (VO). As services would assure VO members' systems operation, a bad services selection may hazard that. We argue, though, that services selection criteria, largely based on QoS and costs, are not enough to provide higher confidence to VO members when selecting services from such open ecosystem of service providers. In this line, this paper proposes a more comprehensive and multi-criteria decision-making model for dynamic services discovery. A prototype has been implemented and results are discussed.

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Multi Criteria Decision Making methods for Information System Selection: A Comparative Study

Cited by 6 publications

References 15 publications

Mobile Mathematics Learning Application Selection using Fuzzy TOPSIS

Mobile Mathematics Learning Application Selection using Fuzzy TOPSIS

Insights for Landfill Site Selection Using GIS: A Case Study in the Tanjero River Basin, Kurdistan Region, Iraq

For a Dynamic Web Services Discovery Model for Open Ecosystems of Software Providers

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