Evaluation of Renewable Energy Technology Based on Reliability Attributes Using Hybrid Fuzzy Dynamic Decision-Making Model

Aikhuele, Daniel O.; Ighravwe, Desmond Eseoghene; Akinyele, Daniel

doi:10.1007/s40866-019-0072-2

Cited by 15 publications

(9 citation statements)

References 33 publications

(42 reference statements)

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“…With the use of the Pythagorean fuzzy “ vlsekriterijumska optimizacija I kompromisno resenje ( VIKOR )” model, Rani et al [ 67 ] evaluated and ranked the candidate RESs in India. Motivated by reliability attributes, Aikhuele et al [ 4 ] recommended a collective fuzzy decision support system for the assessment of RESs. Alkan and Albayrak [7] employed the MCDM methods to solve RES evaluations.…”

Section: Literature Reviewmentioning

confidence: 99%

Fermatean fuzzy copula aggregation operators and similarity measures-based complex proportional assessment approach for renewable energy source selection

Mishra¹

2022

Complex Intell. Syst.

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Selecting the optimal renewable energy source (RES) is a complex multi-criteria decision-making (MCDM) problem due to the association of diverse conflicting criteria with uncertain information. The utilization of Fermatean fuzzy numbers is successfully treated with the qualitative data and uncertain information that often occur in realistic MCDM problems. In this paper, an extended complex proportional assessment (COPRAS) approach is developed to treat the decision-making problems in a Fermatean fuzzy set (FFS) context. First, to aggregate the Fermatean fuzzy information, a new Fermatean fuzzy Archimedean copula-based Maclaurin symmetric mean operator is introduced with its desirable characteristics. This proposed operator not only considers the interrelationships between multiple numbers of criteria, but also associates more than one marginal distribution, thus avoiding information loss in the process of aggregation. Second, new similarity measures are developed to quantify the degree of similarity between Fermatean fuzzy perspectives more effectively and are further utilized to compute the weights of the criteria. Third, an integrated Fermatean fuzzy-COPRAS approach using the Archimedean copula-based Maclaurin symmetric mean operator and similarity measure has been developed to assess and rank the alternatives under the FFS perspective. Furthermore, a case study of RES selection is presented to validate the feasibility and practicality of the developed model. Comparative and sensitivity analyses are used to check the reliability and strength of the proposed method.

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Section: Literature Reviewmentioning

confidence: 99%

Fermatean fuzzy copula aggregation operators and similarity measures-based complex proportional assessment approach for renewable energy source selection

Mishra¹

2022

Complex Intell. Syst.

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“…Morency et al [163]; Suchanek et al [71] Decentralized energy supply Smart grids locally governed Aikhuele et al [164]; Brinkerink et al [165]; Chatzivasileiadis et al [166]; El-Hawary [55]; Majeed Butt et al [167]; Saidani Neffati et al [53] Locally managed energy supply power plants Aikhuele et al [164]; El-Hawary [55]; InterContinental Energy [68]; Knight and Riggs [168];…”

Section: Sustainable Urban Mobilitymentioning

confidence: 99%

Energy Re-Shift for an Urbanizing World

et al. 2021

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This essay considers the rural-to-urban transition and correlates it with urban energy demands. Three distinct themes are inspected and interrelated to develop awareness for an urbanizing world: internal urban design and innovation, technical transition, and geopolitical change. Data were collected on the use of energy in cities and, by extension, nation states over the last 30 years. The urban population boom continues to pressure the energy dimension with heavily weighted impacts on less developed regions. Sustainable urban energy will need to reduce resource inputs and environmental impacts and decouple economic growth from energy consumption. Fossil fuels continue to be the preferred method of energy for cities; however, an increased understanding is emerging that sustainable energy forms can be implemented as alternatives. Key to this transition will be the will to invest in renewables (i.e., solar, wind, hydro, tidal, geothermal, and biomass), efficient infrastructure, and smart eco-city designs. This essay elucidates how the technical transition of energy-friendly technologies focuses on understanding the changes in the energy mix from non-renewable to renewable. Smart electricity storage grids with artificial intelligence can operate internationally and alleviate some geopolitical barriers. Energy politics is shown to be a problematic hurdle with case research examples specific to Central and Eastern Europe. The energy re-shift stressed is a philosophical re-thinking of modern cities as well as a new approach to the human-energy relationship.

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Section: Acknowledgmentsmentioning

confidence: 99%

Energy Security as a Key Driving Factor for Socioeconomic Development: From Mitigation to Solution

2021

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Evaluation of Renewable Energy Technology Based on Reliability Attributes Using Hybrid Fuzzy Dynamic Decision-Making Model

Cited by 15 publications

References 33 publications

Fermatean fuzzy copula aggregation operators and similarity measures-based complex proportional assessment approach for renewable energy source selection

Fermatean fuzzy copula aggregation operators and similarity measures-based complex proportional assessment approach for renewable energy source selection

Energy Re-Shift for an Urbanizing World

Energy Security as a Key Driving Factor for Socioeconomic Development: From Mitigation to Solution

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