2019
DOI: 10.1371/journal.pone.0217786
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Evaluating mobile services using integrated weighting approach and fuzzy VIKOR

Abstract: Mobile services’ rapid evolution and development has meant that their evaluation has become a more and more pressing issue, and from both the practical and theoretical standpoints. The significant previous work in the field of multiple-criteria decision-making based evaluation of mobile services has some practical limitations that should be noted. First, there has been insufficient research that has utilized both objective and subjective weighting. Second, the investigations that have employed Vise Kriterijums… Show more

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Cited by 23 publications
(10 citation statements)
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“…In the MCDM process, various criteria weighting methods have been developed in the literature (Suh et al 2019 ; Mishra et al 2020a ; Rani et al 2020c ). The criteria weight computation procedures are classified as objective weight and subjective weight (Peng 2019 ).…”
Section: Related Workmentioning
confidence: 99%
“…In the MCDM process, various criteria weighting methods have been developed in the literature (Suh et al 2019 ; Mishra et al 2020a ; Rani et al 2020c ). The criteria weight computation procedures are classified as objective weight and subjective weight (Peng 2019 ).…”
Section: Related Workmentioning
confidence: 99%
“…To evaluate the validity and strength of the suggested methodology, the ranking results were also compared with the previously investigated optimization approaches such as: MOORA [6], VIKOR [5] and TOPSIS [4]. The results of rankings of various approaches are presented in the Fig.…”
Section: Comparison Between the Proposed Methods And Comprehensive Evamentioning
confidence: 99%
“…(4). The next step after determining the standard deviation for all assessment parameters is to (5). The normalized values and the corresponding weights of the assessment parameters are indicated in Table 5.…”
Section: Calculation the Weights Of The Assessment Parameters By Stanmentioning
confidence: 99%
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“…Objective weights are determined by the entropy measure. Entropy measure is used in other publications as well (Chatterjee and Kar, 2018;Suh et al, 2019).…”
Section: Weights In Mcdmmentioning
confidence: 99%