The fuzzy TOPSIS method and its implementation in the R programme

Dudek, Andrzej; Jefmański, Bartłomiej

doi:10.15611/ie.2015.1.02

Cited by 6 publications

(8 citation statements)

References 7 publications

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“…Then, it was expanded into the fuzzy TOPSIS by Chen [10] using triangular fuzzy numbers in <Figure 1>. The theoretical background on fuzzy TOPSIS is well summarized in [11], [12], and so on. A brief summary of the fuzzy TOPSIS-based is laid out below First, <Figure 2> presents the hierarchy of this study's decision-making problem.…”

Section: Theoretical Reflection On the Methodology Of Fuzzy Topsismentioning

confidence: 99%

Evaluating Olympic Pictograms Using Fuzzy TOPSIS – Focus on Judo, Taekwondo, Boxing, and Wrestling

Choi¹,

Kim²,

Choi³

2021

Preprint

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This study evaluated the ranking of comprehensibility of the pictograms for judo, taekwondo, boxing, and wrestling used in the six games from the 27th Sydney Olympics in 2000 to the 32nd Tokyo Olympics in 2021. The evaluation was done using the Fuzzy TOPSIS method, one of the multi-criteria decision-making methodologies commonly used in economics and others fields. The results are as follows. The first, pictograms from the 2008 Beijing Olympics ranked first in three sports: taekwondo, boxing, and wrestling, but there were no pictograms that consistently ranked first or sixth in all sports. Second, the result of the sensitivity analysis shows a possibility that the ranking will be reversed if the weight of the evaluation factors changes, but in the 1000-time repetitive prediction, the better the evaluation ranking, the closer the value of the priority ranking to the ideal solution on average even if the weight changes.

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Section: Theoretical Reflection On the Methodology Of Fuzzy Topsismentioning

confidence: 99%

Evaluating Olympic Pictograms Using Fuzzy TOPSIS – Focus on Judo, Taekwondo, Boxing, and Wrestling

Choi¹,

Kim²,

Choi³

2021

Preprint

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“…The TOPSIS method suggested by Hwang and Yoon (1981), belongs to the group of pattern linear ordering methods of multi-dimensional objects. Broadly speaking, the ordering of objects from the best one to the worst one considering an assumed synthetic measure, which is not subjected to a direct measurement, belongs to the task of linear ordering (Dudek and Jefmański, 2015). A characteristic feature of TOPSIS is a way to evaluate a synthetic criterion’s values, which takes into consideration the distance of an evaluated object from a positive-ideal solution as well as from a negative-ideal solution.…”

Section: Methodsmentioning

confidence: 99%

“…In this research, for the sake of simplicity, the same system of weights has been assumed for all variables, therefore the parameters’ values of fuzzy numbers representing weights are the same and come to 1. Besides, R codes provided in Dudek and Jefmański (2015) were used in this research for computation of the fuzzy TOPSIS scores.…”

Section: Methodsmentioning

confidence: 99%

Efficiency in South African agriculture: a two-stage fuzzy approach

Aye

Gupta

2018

BIJ

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Purpose The purpose of this paper is to assess the efficiency of agricultural production in South Africa from 1970 to 2014, using an integrated two-stage fuzzy approach. Design/methodology/approach Fuzzy technique for order preference by similarity to ideal solution is used to assess the relative efficiency of agriculture in South Africa over the course of the years in the first stage. In the second stage, fuzzy regressions based on different rule-based systems are used to predict the impact of socio-economic and demographic variables on agricultural efficiency. They are compared with the bootstrapped truncated regressions with conditional α levels proposed in Wanke et al. (2016a). Findings The results show that the fuzzy efficiency estimates ranged from 0.40 to 0.68 implying inefficiency in South African agriculture. The results further reveal that research and development, land quality, health expenditure–population growth ratio have a significant, positive impact on efficiency levels, besides the GINI index. In terms of accuracy, fuzzy regressions outperformed the bootstrapped truncated regressions with conditional α levels proposed in Wanke et al. (2015). Practical implications Policies to increase social expenditure especially in terms of health and hence productivity should be prioritized. Also policies aimed at conserving the environment and hence the quality of land is needed. Originality/value The paper is original and has not been previously published elsewhere.

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“…At the same time, many socio-economic phenomena are complex, which makes it impossible to describe them in one variable. Evaluation of objects in terms of such phenomena is possible by constructing a synthetic variable that aggregates fragmentary information included in specific criteria, which, in turn, are evaluated linguistically [17]. Statistical analysis, in this case, is impossible without prior work on the transformation of linguistic variables into numerical form (for example, using triangular fuzzy numbers).…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Selection of Accounting Software for Small and Medium Enterprises Using the Fuzzy Topsis Method

Vysochan¹,

Yasinska²,

Hyk³

2021

TEM Journal

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In the article, the authors analyse the types of accounting software available on the market, in order to identify the most effective programs in terms of meeting the needs of the accounting service of small and medium enterprises. Alternatives for the choice were: large software packages of corporate type, universal programs for automation of financial accounting, programs for the formation and submission of tax reporting, document automation systems, small programs with an emphasis on financial management. The ranking of types of accounting software in terms of compliance with the requirements of accounting services of small and medium enterprises was led by universal programs focused primarily on the implementation of financial accounting functions with maximum support of the accounting process.

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The fuzzy TOPSIS method and its implementation in the R programme

Cited by 6 publications

References 7 publications

Evaluating Olympic Pictograms Using Fuzzy TOPSIS – Focus on Judo, Taekwondo, Boxing, and Wrestling

Evaluating Olympic Pictograms Using Fuzzy TOPSIS – Focus on Judo, Taekwondo, Boxing, and Wrestling

Efficiency in South African agriculture: a two-stage fuzzy approach

Selection of Accounting Software for Small and Medium Enterprises Using the Fuzzy Topsis Method

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