An integrated approach of SWARA and fuzzy COPRAS for maintenance technicians’ selection factors ranking

Ighravwe, Desmond Eseoghene; Oke, Sunday Ayoola

doi:10.1007/s13198-019-00912-8

Cited by 18 publications

(10 citation statements)

References 56 publications

(51 reference statements)

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“…A fuzzy COPRAS method uses alternatives fitness degrees to rank their ratings. This process is initiated by computing the alternatives benefit-oriented and cost-oriented values (Ighravwe & Oke, 2019). To combine an alternative's benefit-oriented criteria ratings, Equation ( 18) is considered, while Equation ( 19) is used to combine an alternative's costoriented criteria (Zavadskas et al, 1994;Zavadskas, Kaklauskas, Turskis, & Tamošaitiene, 2008).…”

Section: Copras Methodsmentioning

confidence: 99%

A MCDM-based framework for the selection of renewable energy system simulation tool for teaching and learning at university level

Ighravwe

Babatunde

Mosetlhe

et al. 2021

Environ Dev Sustain

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The calls for actions to combat climate change have resulted in renewable energy adoption and, consequently, an emerging renewable energy industry. Of course, this has also precipitated the need for more renewable energy expert grounded in hybrid renewable energy system (HRES) software to support the growing industry. Hence, selecting particular software for teaching renewable energy modules for the training of students at a university level is essential. The appraisal and selection of HRES sizing and optimisation software have become crucial for instructors and learners being prepared for the industry. This paper's central contribution is to provide academics, tutors, and researchers in the field of renewable energy system sizing with an idea on how to proficiently and effectively deploy multicriteria decision-making (MCDM) approaches in HRES sizing and optimisation software selection problems. A framework that combines fuzzy entropy method and fuzzy-VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) was used to rank HRES simulation software. The performance of the framework was compared with that of the complex proportional assessment (COPRAS) method. The article observed a difference between the fuzzy VIKOR and COPRAS solution for ranking the most preferred software; the most preferred option using the Fuzzy VIKOR is the BCHP screening tool, and HOMER for the COPRAS method. They ranked the least preferred software as RETScreen (VIKOR method) and ORCED (COPRAS method).

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Section: Copras Methodsmentioning

confidence: 99%

A MCDM-based framework for the selection of renewable energy system simulation tool for teaching and learning at university level

Ighravwe

Babatunde

Mosetlhe

et al. 2021

Environ Dev Sustain

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“…In the study where the evaluation criteria were determined by fuzzy SWARA, the alternative selection was made with FAD. Ighravwe and Oke (2019) employed fuzzy SWARA to find the weights of maintenance activities and fuzzy CORPAS to rank the factors in a study where the selection factors of maintenance technicians in the cement manufacturing plant were evaluated. Ren et al (2019) found the criteria weights with fuzzy SWARA and alternative ranking with WASPAS in a location selection for electric vehicles in China.…”

Section: Studies On Fuzzy Swara Fuzzy Bmw Methodsmentioning

confidence: 99%

Selecting a Green, Agile and Industry 4.0 Supplier With the Fuzzy-Swara-Bwm Integrated Method

Akcan

2021

Preprint

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Businesses establish supply chains in order to continue their activities. Choosing the suppliers to take part in these supply chains poses many challenges in rapidly changing conditions. Environmental concerns in the public, competitive market structures, and developing technological opportunities affect the decision-making processes. Different criteria are taken into consideration instead of traditional criteria such as cost and service. In this study, green, agile, and Industry 4.0 dimensions and the criteria under these dimensions are defined. According to these, the problem of selecting the supplier that responds to the expectations of the markets and enables them to increase their competitiveness was discussed. Fuzzy SWARA and fuzzy BMW methods were applied in an integrated way to solve the supplier selection problem under these three dimensions. A real case study was also presented. In the study, the results obtained by creating different scenarios were compared and sensitivity analysis was made. The results obtained show that the hybrid method developed in this study is effective in supplier selection problems. As a result of the study, the most important evaluation dimension is "agile" and the most important criterion is "delivery speed".

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“…86,89 Recently, SWARA, a tool for evaluating and weighing criteria, is increasingly becoming the preferred method among DMs. 90,91 Experts in different areas can easily contact the general mentality of the SWARA method. 92 The most important function of this methodology is its ability to evaluate expert opinion on the accuracy of weighted criteria.…”

Section: Interval-valued Spherical Fuzzy Swaramentioning

confidence: 99%

“…The steps of the interval-valued spherical fuzzy SWARA approach can be explained as the following: 87,90,92,95,96 Step 1. Describe the alternatives to be considered in the decision-making process and the criteria used to evaluate these alternatives.…”

Section: Interval-valued Spherical Fuzzy Swaramentioning

confidence: 99%

Assessing farmers' perception to Agriculture 4.0 technologies: A new interval‐valued spherical fuzzy sets based approach

Erdoğan

2021

Int J of Intelligent Sys

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Agriculture 4.0 is the usage of advanced technologies for ensuring sustainability and efficient use of resources in agriculture, which can be accepted one of the biggest challenges of mankind. With Agriculture 4.0 technologies, it is aimed to raise productivity, reduce waste and costs. To ensure that agriculture 4.0 technologies are adopted by farmers as soon as possible, the perspective and perception of farmers to these technologies should be analyzed firstly. For this purpose, we propose a decision-making framework to measure farmers' view of Agriculture 4.0 technologies and to perform a prioritization study based on the perception of use among these technologies. Multicriteria decision analysis is also utilized to deal with all qualitative and quantitative factors in the decision process. Within the scope of this study, interval-valued spherical fuzzy numbers are used to model the vagueness in the process in the best manner and to be able to reflect the uncertainty arising from the usage of linguistic variables in the decision process. The SWARA and MAIRCA multicriteria decision making (MCDM) methods, which have been used frequently in the literature and are applied very successfully in MCDM problems, have been firstly extended by spherical fuzzy sets (SFSs) and the advantages for these methods have been utilized within the framework of

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An integrated approach of SWARA and fuzzy COPRAS for maintenance technicians’ selection factors ranking

Cited by 18 publications

References 56 publications

A MCDM-based framework for the selection of renewable energy system simulation tool for teaching and learning at university level

A MCDM-based framework for the selection of renewable energy system simulation tool for teaching and learning at university level

Selecting a Green, Agile and Industry 4.0 Supplier With the Fuzzy-Swara-Bwm Integrated Method

Assessing farmers' perception to Agriculture 4.0 technologies: A new interval‐valued spherical fuzzy sets based approach

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