Grey SWARA-FUCOM Weighting Method for Contractor Selection MCDM Problem: A Case Study of Floating Solar Panel Energy System Installation

Cao, Qingpeng; Esangbedo, Moses Olabhele; Bai, Shengqiang; Esangbedo, Caroline Olufunke

doi:10.3390/en12132481

Cited by 48 publications

(33 citation statements)

References 77 publications

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“…▪ selection of a system for desalination of renewable energy sources with a perspective of sustainability, with the DANP and Vector-aided TOPSIS methods [53], ▪ selection and prioritization of appropriate measures for the management of transport requirements in urban mobility system in Istanbul, in the fuzzy FUCOM-Dombi-Bonferroni model [54], ▪ in the example of suppliers of electricity from renewable sources [55], ▪ determining sustainability of sewage sludge in terms of energy source with the consideration of hybrid data, together with the FUSION approach [56]. The application of the FUCOM method with rough numbers is discussed in the problem of selecting the location of logistics centers in the Spanish autonomous communities with the CoCoSo method (Combined Compromise Solution) and it is presented in Yazdani et al [57], while the selection of the contractors for solar panel installations is made by applying gray numbers in the Gray SWARA-FUCOM model [58].…”

Section: The Fucom Methodsmentioning

confidence: 99%

D Numbers – Fucom – Fuzzy Rafsi Model for Selecting the Group of Construction Machines for Enabling Mobility

et al. 2021

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The paper presents a hybrid model for decision-making support based on D numbers, the FUCOM method and fuzzified RAFSI method, used for solving the selection of the group of construction machines for enabling mobility. By applying D numbers, the input parameters for the calculation of the weight coefficients of the criteria were provided. The calculation of the weight coefficients of the criteria was performed using the FUCOM method. The best alternative was selected using the fuzzified method, which was conditioned by the specificity of the issue so that in this case, the selection of the best alternative was made using the fuzzified RAFSI method.

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Section: The Fucom Methodsmentioning

confidence: 99%

D Numbers – Fucom – Fuzzy Rafsi Model for Selecting the Group of Construction Machines for Enabling Mobility

et al. 2021

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“…[20] yolculuk talep yönetiminde, Stevic ve Brkovic [21] insan kaynakları yönetiminde, Cao ve diğ. [22] güneş paneli enerji sistemleri için müteahhit seçiminde, Zagradjanin ve diğ. [23] ise robot sistemlerinin planlanmasında FUCOM yönteminden faydalanmışlardır.…”

Section: Figure 1 the Number Of Pairwise Comparisons Required By Fucom And Other Methods (Developed By Author)unclassified

An analysis of the factors affecting wind farm site selection through FUCOM subjective weighting method

Ecer¹

2021

Pamukkale J Eng Sci

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Temiz bir enerji kaynağı olan ve doğal dengeyi bozmayan rüzgâr enerjisi, günümüzün en önemli yenilenebilir enerji kaynaklarından birisidir. Bu çalışmada rüzgâr çiftlikleri için uygun yer tespitinde kullanılan faktörler, oldukça yeni bir sübjektif ağırlıklandırma yöntemi olan FUCOM (Full Consistency Method-Tam Tutarlılık Yöntemi) yöntemi kullanılarak analiz edilmiştir. FUCOM, doğrusal programlama temelli bir yöntemdir ve diğer ağırlıklandırma yöntemlerinden daha az ikili karşılaştırmaya ihtiyaç duyar. Çalışmadaki değerlendirme modeli, üç temel boyutu ve on iki faktörü dikkate almaktadır. Bulgular, bir rüzgâr çiftliği sahasının tercih edilmesinin büyük ölçüde rüzgâr potansiyeline ve yerleşim yerlerine olan uzaklığına bağlı olduğunu göstermiştir. Ayrıca önerilen yöntemin tutarlılığını ve kullanışlılığını göstermek için bir duyarlılık analizi yapılmıştır. Bu çalışmanın sonuçları rüzgâr enerjisine yönelik politika belirlemekte kullanılabilir. Wind energy, which is a clean energy source and does not disrupt the natural balance, is today's one of the most popular renewable energy sources. In this paper, the factors which are utilized to determine a suitable site for wind farms have been analyzed by using the FUCOM (Full Consistency Method) method which is a relatively new subjective weighting method. FUCOM is a linear programming-based method and needs less pairwise comparisons than other weighting methods. The evaluation model in the study takes three main dimensions and twelve factors into consideration. The findings showed that the preference of a wind farm site depends largely on the wind potential and distance from residential areas. Furthermore, a sensitivity analysis was performed to demonstrate the consistency and usefulness of the suggested method. The results of this study could be used to determine the wind energy policy.

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“…Other MCDM methods, such as the AHP, ANP, MOORA, COPRAS, and SWARA-FUCOM, can also be applied to the problem [1,19,25,27]. The use of Grey theory, PROMETHEE, and interval-valued intuitionistic fuzzy sets (IVIFS) in MCDM methods also aids the ranking of contractors [21,23,[28][29][30][31]. MCDM methods have also been used in the selection of cultural heritage buildings [26,[32][33][34].…”

Section: Methods Of Selecting Multi-criteria Decision Making For Contractor Selectionmentioning

confidence: 99%

Multi-Criteria Decision Making of Contractor Selection in Mass Rapid Transit Station Development Using Bayesian Fuzzy Prospect Model

2020

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In Taiwan, the most advantageous tender in governmental procurement is the selection of a general contractor based on a score or ranking evaluated by a committee. Due to personal, subjective preferences, the contractor selection of committee members may be different, causing cognitive difference between the results of the members’ selection and the preliminary opinions provided by the working group. Integrated, multi-criteria decision making techniques, combined with preference relation, Bayesian, fuzzy utility, and prospect theories are used to assess factors weighing up the duration/cost/quality, probability of external information, and utility function system. The paper proposes a Bayesian fuzzy prospect model for group decision making, based on probability and utility multiplied relation, and taking the sustainable development factors into consideration. This study aims to provide committees with an objective model to select the best contractor for public construction projects. The results of this study can avoid the lowest bidder being selected; besides, the score gap of contractor selection can be increased, and the difference between the top three contractors’ scores can be decreased as well. In addition to proposing an innovative decision-making system of contractor selection and an index weight-assessing system for sustainable development, this model will be widely applied and sustainably updated for other cases.

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Grey SWARA-FUCOM Weighting Method for Contractor Selection MCDM Problem: A Case Study of Floating Solar Panel Energy System Installation

Cited by 48 publications

References 77 publications

D Numbers – Fucom – Fuzzy Rafsi Model for Selecting the Group of Construction Machines for Enabling Mobility

D Numbers – Fucom – Fuzzy Rafsi Model for Selecting the Group of Construction Machines for Enabling Mobility

An analysis of the factors affecting wind farm site selection through FUCOM subjective weighting method

Multi-Criteria Decision Making of Contractor Selection in Mass Rapid Transit Station Development Using Bayesian Fuzzy Prospect Model

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