Evaluation of smart health technologies with hesitant fuzzy linguistic MCDM methods

Büyüközkan, Gülçin; Mukul, Esin

doi:10.3233/jifs-189103

Cited by 19 publications

(5 citation statements)

References 48 publications

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“…Many MCDM methods have been to this field, for example, FWA, 4 , 55 fuzzy analytic hierarchy process (FAHP), 4 , 6 , 17 , 56 , 57 FTOPSIS, 6 , 17 , 58 fuzzy Vise Kriterijumska Optimizacija I Kompromisno Resenje (fuzzy VIKOR), 56 , 59 fuzzy combinative distance-based assessment, 57 fuzzy inference systems, 60 , 61 fuzzy measuring attractiveness by a categorical based evaluation technique (fuzzy MACBETH), 62 etc. In the proposed methodology, FAHP and fuzzy VIKOR are used.…”

Section: Proposed Methodologymentioning

confidence: 99%

Assessing the sustainability of smart healthcare applications using a multi-perspective fuzzy comprehensive evaluation approach

Wu,

Chen,

Chiu

2023

DIGITAL HEALTH

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A smart healthcare application can be judged as sustainable if it was already widely used before and will also be prevalent in the future. In contrast, if a smart healthcare application developed during the COVID-19 pandemic is not used after it, then it is not sustainable. Assessing the sustainability of smart healthcare applications is a critical task for their users and suppliers. However, it is also a challenging task due to the availability of data, users’ subjective beliefs, and different perspectives. In response to this problem, this study proposes a multi-perspective fuzzy comprehensive evaluation approach to evaluate the sustainability of a smart healthcare application from qualitative, multi-criteria decision-making and time-series perspectives. The proposed methodology has been used to evaluate the sustainability of eight smart healthcare applications. The experimental results showed that the sustainability of a smart healthcare application evaluated from different perspectives may be different. Nevertheless, another technique can be used to confirm the evaluation result generated using one technique. In other words, these views compensate for each other.

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Section: Proposed Methodologymentioning

confidence: 99%

Assessing the sustainability of smart healthcare applications using a multi-perspective fuzzy comprehensive evaluation approach

Wu,

Chen,

Chiu

2023

DIGITAL HEALTH

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“…This model, which connects the optimum of an alternative to the rule of being the farthest to the negative distance, calculates this distance according to the Euclidean and taxicab distance [86]. The CODAS method has been applied in studies involving cloud service selection [87], supplier selection [88] and smart health technologies' valuation [89]. The mathematical operations of the given method are as follows [90].…”

Section: Combinative Distance-based Assessment (Codas)mentioning

confidence: 99%

An Alternative Sensitivity Analysis for the Evaluation of MCDA Applications: The Significance of Brand Value in the Comparative Financial Performance Analysis of BIST High-End Companies

Elma,

Stević,

Baydaş

2024

Mathematics

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Multi-criteria decision analysis (MCDA) applications consist of techniques that enable the decision maker to make clearer decisions in scenarios where there is more than one alternative and criterion. The general approach for sensitivity analysis in MCDA applications implies sensitivity to the weight coefficient. In this study, as an alternative approach, we reinterpret sensitivity by using the statistical relationship between the final ranking produced by an MCDA method and a constant external factor. Thus, we both verify through an anchor and reveal to what extent the change in the weight coefficient changes the external relations of MCDA. The motivation for this study is to propose an alternative sensitivity methodology. On the other hand, brand value is a parameter that contains critical information about the future of the company, which has not integrated into financial performance studies made with MCDAs before. To that end, the financial performance of 31 companies with the highest brand value in Turkey and trading on Borsa Istanbul between 2013 and 2022 was analyzed with seven different MCDA applications via integrating brand value into the criteria for the first time. The study’s findings revealed that the proposed innovative sensitivity tests produced similarly robust results as traditional tests. In addition, brand value has been proved to be an advantageous criterion to be implemented into MCDAs for financial performance problems through the sensitivity analysis made.

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“…MCDM models have been widely applied to support decision makers to solve decision-making problems in many industries, such as supplier evaluation and selection [14 -17], facility location selection [18 -21], renewable energy project development [22,23], and technology evaluation [24,25]. Many of these studies incorporate fuzzy sets theory into MCDM methods to create fuzzy MCDM models which allow these models to perform under uncertain decision-making process [26][27][28].…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainable Energy Source Selection for Industrial Complex in Vietnam: A Fuzzy MCDM Approach

Thanh

2022

IEEE Access

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Shifting from fossil energy to renewable energy is considered an inevitable trend to limit greenhouse gas emissions, protect the environment and reduce dependence on fossil fuels. In that trend, many companies globally, especially multinational corporations with great influence have pioneered the use of clean energy. The fact that more and more companies are committing to renewable energy and taking specific actions to accelerate the transition to clean energy sources is considered a good sign in the joint efforts of the whole world towards a greener future. In Vietnam, the use of renewable energy in production and business activities for sustainable development is also increasingly interested by businesses. Recently, many businesses are interested in taking advantage of renewable energy sources, aiming for environmentally friendly solutions to create products that meet green standards, increasing competitiveness in the market. However, the selection of a suitable energy resource for each industrial complex project is not a simple task as this involve multiple quantitative and qualitative criteria. In this research, the author proposed a fuzzy multicriteria decision making model (F-MCDM) for sustainable energy source selection for industrial complex in Vietnam, utilizing Spherical fuzzy Analytic Hierarchy Process (SF-AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The main contribution of this study is to propose a Spherical fuzzy MCDM model to support planners and decision makers in the renewable energy resources evaluation and selection process of industrial complexes development projects in Vietnam. A case study is also performed to showcase the feasibility of the proposed approach.

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Evaluation of smart health technologies with hesitant fuzzy linguistic MCDM methods

Cited by 19 publications

References 48 publications

Assessing the sustainability of smart healthcare applications using a multi-perspective fuzzy comprehensive evaluation approach

Assessing the sustainability of smart healthcare applications using a multi-perspective fuzzy comprehensive evaluation approach

An Alternative Sensitivity Analysis for the Evaluation of MCDA Applications: The Significance of Brand Value in the Comparative Financial Performance Analysis of BIST High-End Companies

Sustainable Energy Source Selection for Industrial Complex in Vietnam: A Fuzzy MCDM Approach

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