Comparison of the Simple Additive Weighting (SAW) with the Technique for Others Reference by Similarity to  Ideal Solution (TOPSIS) methods

Tahyudin, Imam; Rosyidi, Rahman; Ahmar, Ansari Saleh; Haviluddin, .

doi:10.14419/ijet.v7i2.2.12740

Cited by 8 publications

(3 citation statements)

References 4 publications

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“…They are determined on the basis of multivariate statistical methods, and although these methods differ in the approach to the criteria which are taken into account (setting correlation thresholds, unifying the field of compared criteria), by their application, we can replace the entire set of features describing the object with one aggregated variable. The Simple Additive Weighting (SAW) method belongs to the group of single criteria synthesis methods, which rank the examined objects on the basis of a linear combination of the weight vector W [k×1] and the decision matrix D [m×k] (m -object, k -criterion) [9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26]. The weight vector W can be filled arbitrarily (subjective weights) or using mathematical methods (objective weights), and regardless of the determination method of the weights of the values of the coefficients defining the degree of influence of the k-th criterion on the final decision, it should be within the range 〈0;1〉.…”

Section: Simple Additive Weighting (Saw) -Description Of the Methodsmentioning

confidence: 99%

Application of the Simple Additive Weighting Method in the Assessment Process of Air Pollution on the Campus of the Silesian University of Technology

Zajusz-Zubek,

Korban

2023

Architecture, Civil Engineering, Environment

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The article presents the measurement results of the concentration of dust PM10 and PM2.5 as well as SO2, NO, NO2 and NOx based on a mobile laboratory located on the campus of the Silesian University of Technology (Poland, Gliwice, Konarskiego 20B, 50.292934N, 18.682164E), in the so-called “winter period” in 2020 (from 01/01/2020 to 31/03/2020 and from 01/10/2020 to 31/12/2020). The obtained results were used to carry out a synthetic (aggregated) assessment of the threat to the anthropogenic environment, the so-called “objects”, i.e. days on which the measurements were made, interpreted as points in the multidimensional space with coordinates corresponding to the measurement results of the concentration of dust pollutants: PM10 and PM2.5 and gaseous pollutants: SO2, NO, NO2 and NOx. The determined synthetic values additionally allowed for ordering (creating rankings) of the examined “objects” in terms of air quality. For the calculations, the Simple Additive Weighting method (SAW) was used, which belongs to the group of single-criteria synthesis methods.

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Section: Simple Additive Weighting (Saw) -Description Of the Methodsmentioning

confidence: 99%

Application of the Simple Additive Weighting Method in the Assessment Process of Air Pollution on the Campus of the Silesian University of Technology

Zajusz-Zubek,

Korban

2023

Architecture, Civil Engineering, Environment

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“…The Simple Additive Weighting method belongs to the group of single-criterion synthesis methods, which creates a ranking of the examined objects basing on the linear combination of the weight vector W [k x 1] and the decision matrix D [m x k] (mobject, kcriterion) (Afshari et al, 2010, Alinezhad et al, 2014, Chen, 2012, Churchman and Ackoff, 1954, Deni et al, 2013, Goodridge, 2016, Huang et al, 2013, Hwang and Yoon, 1981, Janssen, 1996, Koffka and Goodridge, 2015, Kumar et al, 2013, Memariani et al, 2009, Mokhtari et al, 2016, Putra and Punggara, 2018, Simanaviciene and Ustinovichius, 2010, Tahyudin et al, 2018. The weight vector W can be filled arbitrarily (subjective weights), or using mathematical methods (objective weights), and regardless of the determination method of the weights, the values of the coefficients determining the degree of impact of the k-th criterion on the final decision should be in the range of 〈0;1〉.…”

Section: Simple Additive Weighting (Saw) -Description Of the Methodsmentioning

confidence: 99%

Multi-Criteria Assessment of Ergonomic Conditions of Work. Case Study

Korban

2021

Multidisciplinary Aspects of Production Engineering

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The supervision of OHS conditions (working conditions and the realization of work tasks) is one of the basic obligations of the employer. The number and variety of describing elements (and thus being subject to assessment) means that synthetic measures (measures that are one-dimensional images of complex phenomena) are more and more frequently applied to solve problems of that type. Although the methods of multivariate statistics used for this purpose differ in the way they treat assessment criteria (defining mutual dependency thresholds, unifying the field of compared criteria), the final effect of their application always offers the option to replace the entire set of features describing a given object with one variable (aggregate). The article presents a potential applicability of one of the so-called discrete multi-criteria decision-making methods (Simple Additive Weighting), which allows to determine a linear combination of normalized elements of the decision matrix and the elements of weight vector. As part of the article, the working conditions at 5 workstations were assessed (a miner’s workstation in 5 underground mine workings being excavated), taking into account 8 assessment criteria (6 were cost criteria and 2 – criteria of qualitative character). In effect of the application of the Simple Additive Weighting method, we could determine the ranking vector R, which allowed to order the examined objects and to carry out a comprehensive assessment of OSH conditions occurring in them.

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“…Four models in path analysis i.e., students self-confidence, lecturer impact, perceptual assessment, and variables affecting service quality 2. Path analysis to examine the relationship between classroom assessment, environmental assessment, and academic achievement [8]. In order to improve the service of an academic.…”

Section: Introductionmentioning

confidence: 99%

Student Service Performance Analysis by Using Path Analysis Model

2019

IJRTE

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Academic services are probably the most important aspect to achieve excellence in a university. Every university applies strategies to improve their service quality for example an integrated academic information system that has been run by Universitas Muslim Indonesia (UMI). Due to the students as the object of services, it is important to evaluate their level of satisfaction regarding to the academic service performance that they have experienced. This research aimed to analyze the students’ satisfaction on a WEB based academic information system in UMI using path analysis. The research phases started from determining hypothesis, collecting questionnaire data, identifying variables, analyzing data using path analysis, and analyzing model. The variables tested were students’ registration, course schedule, course grades and assistantships. In this research, a model was created to measure the level of users’ satisfaction by information system based services. The results of this research is the level of satisfaction in student registration services that higher than the course schedule, course grades, and academic assistantships and a gain of confidence to the student that is equal to 17%. Academic information system (SIMAK) on academic service system of UMI can be analyzed by using path analysis and obtained student satisfaction result 69%..

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Comparison of the Simple Additive Weighting (SAW) with the Technique for Others Reference by Similarity to Ideal Solution (TOPSIS) methods

Cited by 8 publications

References 4 publications

Application of the Simple Additive Weighting Method in the Assessment Process of Air Pollution on the Campus of the Silesian University of Technology

Application of the Simple Additive Weighting Method in the Assessment Process of Air Pollution on the Campus of the Silesian University of Technology

Multi-Criteria Assessment of Ergonomic Conditions of Work. Case Study

Student Service Performance Analysis by Using Path Analysis Model

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