Comparison of Multi Criteria Decision Making Algorithms for Ranking Cloud Renderfarm Services

Annette, J. Ruby; Banu, W. Aisha; Chandran, P. Subash

doi:10.17485/ijst/2016/v9i31/93467

Cited by 10 publications

(5 citation statements)

References 21 publications

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“…The comparison of MCDM models has been proved essential in order to decide whether the model used in each purpose is the most appropriate. Therefore, different studies have applied different MCDM models to the same problem and compared the obtained rankings [19,21,25,[49][50][51][52][53][54][55][56][57][58].…”

Section: Discussionmentioning

confidence: 99%

Sensitivity Analysis of PROMETHEE II for the Evaluation of Environmental Websites

Kabassi

Martinis

2021

Applied Sciences

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The quality of content and the attractiveness of an environmental website can create an environmentally friendly attitude before one visits a secured area. However, a website should be evaluated to ensure that its goal is met. For this reason, the websites of environmental content have been evaluated using a combination of AHP and PROMETHEE II. More specifically, the websites of environmental content that have been selected to be evaluated are the websites of the national parks of Italy. The main contribution of the particular paper is on comparing PROMETHEE II with three other common MCDM models (SAW, WPM, TOPSIS) and performing a sensitivity analysis to make the comparison more thorough. As a result, the conclusions drawn by this experiment involve the appropriateness of PROMETHEE II for the ranking of environmental websites as well as the robustness of the different MCDM models. The experiment revealed that the PROMETHEE II model was found to be very effective in ranking environmental websites and is the most robust model compared to the other ones. Furthermore, the evaluation of the websites of national parks in Italy revealed that the electronic presence of national parks is at an early stage.

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Section: Discussionmentioning

confidence: 99%

Sensitivity Analysis of PROMETHEE II for the Evaluation of Environmental Websites

Kabassi

Martinis

2021

Applied Sciences

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“…Simple Additive Weighting (SAW) dikembangkan oleh MacCrimon pada tahun 1968 dan dikenal sebagai sebuah metode yang sangat sederhana dimana nilai skala diberikan pada setiap alternatif dengan menggunakan atribut [14]. Adapun langkah pertama dalam menyelesaikan persoalan dengan menggunakanmetode SAW adalahdengan menetukan kriteria-kriteria dijadikan acuan dalam pengambilan keputusan.…”

Section: Metode Sawunclassified

Sistem Pendukung Keputusan Dalam Penilaian Prestasi Kerja Menggunakan Fuzzy-Ahp Dan Saw

Kurniawan

Nugroho

2019

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Employee appraisal is one of the company's efforts to evaluate employee performance and productivity. As the result, the company can also give awards to employees who are considered gives high contribution to company. However, it is not easy to measure employee performance, because most them only based on the leaders valuation which is subjective and do not based on standards. The objective of this study is to develop a system to assess employee performance by using a combination of Fuzzy Logic, Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methods. The AHP is a method of weighting in based on multi-criteria decisions. This method uses a pairwise comparison matrix to calculate the weight value. The Fuzzy logic is used to overcome the problem, where the AHP method is indicated still have subjectivity in criteria evaluation. After calculation based on combination of Fuzzy-AHP methods, the final result of employee performance will determined by using SAW method. The employee with the highest weight value will considered as the most productive employee and also gives the best performance in the company.

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“…There is no formal way of comparing MCDM models as has been proved by the different comparison experiments [25,26,[31][32][33][34][35][36][37][38][39][40]. Indeed, Salabun et al [41] concluded in their paper that almost every combination of the method and its parameters may bring us a different result.…”

Section: Introductionmentioning

confidence: 99%

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

Kabassi

2021

Sustainability

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Educators in the field of Environmental Education often have difficulty identifying and selecting programs that have the potential to best maximize needed resources to implement and achieve desired outcomes. This difficulty is, in part, due to their lack of expertise in evaluation knowledge and practice. The use of multi-criteria decision-making models in evaluating environmental education programs is new and, as a result, not many models have been used and tested in the specific domain. Comparisons of multi-criteria decision-making models have been implemented in various domains but not for environmental education programs’ evaluation. Therefore, we investigate the comparative performance of the SAW, WPM, TOPSIS, and PROMETHEE II models in evaluating and selecting the most appropriate environmental education program. The main objective of this paper is on presenting the different steps of the comparative analysis of multi-criteria decision-making models and on making conclusions on the suitability and robustness of the SAW, WPM, TOPSIS, and PROMETHEE II models in evaluating environmental education programs.

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Comparison of Multi Criteria Decision Making Algorithms for Ranking Cloud Renderfarm Services

Cited by 10 publications

References 21 publications

Sensitivity Analysis of PROMETHEE II for the Evaluation of Environmental Websites

Sensitivity Analysis of PROMETHEE II for the Evaluation of Environmental Websites

Sistem Pendukung Keputusan Dalam Penilaian Prestasi Kerja Menggunakan Fuzzy-Ahp Dan Saw

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

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