Abstract:In this investigation, we have put forward a novel multi-criteria decision-making (MCDM) technique, intuitionistic fuzzy best-worst method (intuitionistic fuzzy BWM). Moreover, we have designed a novel hybrid MCDM technique called intuitionistic fuzzy best-worst analytic hierarchy process (intuitionistic fuzzy BWAHP) which is the amalgamation of intuitionistic fuzzy BWM and analytic hierarchy process (AHP). In this study, BWM finds its use to evaluate the weightage (or priority value) of criteria, and using AH… Show more
“…Ordinary fuzzy sets have been used many times to compare the results of the extensions of fuzzy sets. [118][119][120][121] At this point, one of the most frequently used fuzzy sets is triangular fuzzy sets. [118][119][120][121] TFNs are considered as the pillar of the fuzzy set.…”
Section: Comparison Of Resultsmentioning
confidence: 99%
“…[118][119][120][121] At this point, one of the most frequently used fuzzy sets is triangular fuzzy sets. [118][119][120][121] TFNs are considered as the pillar of the fuzzy set. 122 TFNs are intuitive and easy to use; it is also computationally simple and very useful in promoting representation and information processing in a fuzzy environment.…”
Section: Comparison Of Resultsmentioning
confidence: 99%
“…Apart from this, it has been seen that the MAIRCA method is usually used with triangular fuzzy sets, which are type 1 fuzzy sets, in problems involving uncertainty. Therefore, in our comparative analysis, triangular fuzzy sets are used because they are more accepted in the literature for comparison [118][119][120][121] and their reliability has been proven with many papers, 102,106,112,122 and also to demonstrate the advantages of using spherical fuzzy sets which is the extension of ordinary fuzzy sets. As a result of the calculations obtained by adopting the steps of the triangular fuzzy MAIRCA method, the total gap matrix is calculated as in Table 12.…”
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
“…Ordinary fuzzy sets have been used many times to compare the results of the extensions of fuzzy sets. [118][119][120][121] At this point, one of the most frequently used fuzzy sets is triangular fuzzy sets. [118][119][120][121] TFNs are considered as the pillar of the fuzzy set.…”
Section: Comparison Of Resultsmentioning
confidence: 99%
“…[118][119][120][121] At this point, one of the most frequently used fuzzy sets is triangular fuzzy sets. [118][119][120][121] TFNs are considered as the pillar of the fuzzy set. 122 TFNs are intuitive and easy to use; it is also computationally simple and very useful in promoting representation and information processing in a fuzzy environment.…”
Section: Comparison Of Resultsmentioning
confidence: 99%
“…Apart from this, it has been seen that the MAIRCA method is usually used with triangular fuzzy sets, which are type 1 fuzzy sets, in problems involving uncertainty. Therefore, in our comparative analysis, triangular fuzzy sets are used because they are more accepted in the literature for comparison [118][119][120][121] and their reliability has been proven with many papers, 102,106,112,122 and also to demonstrate the advantages of using spherical fuzzy sets which is the extension of ordinary fuzzy sets. As a result of the calculations obtained by adopting the steps of the triangular fuzzy MAIRCA method, the total gap matrix is calculated as in Table 12.…”
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
“…Liu, et al [32] proposed the D-number BWM (D-BWM) weighting model, which is simple and sensitive to subjective information, and is more suitable for realistic decision-making. Majumder, et al [33] presented intuitionistic fuzzy BWM and its combination with AHP, intuitionistic fuzzy best-worst analysis hierarchical process (BWAHP).…”
Energy has always been an important issue related to people's livelihood and economy. With the energy crisis continues to escalate, the problems exposed in the energy supply chain are becoming increasingly severe. Due to the uncertainty of the external environment and internal structure, the energy supply chain is vulnerable to various risks. This article takes three representative energy companies in China as examples and adopts a two-stage method to evaluate the risks of the energy supply chain. The first stage uses the best-worst method (BWM) to determine the weight of each risk factor, and the second stage uses the linguistic value soft set to evaluate the risk performance of energy companies, and finally obtains the ranking results of the energy supply chain of each company. The results show that none of the three companies have outstanding performance in environmental-related risks, and energy companies should pay more attention to the control of environmental risks. This research supplements the related research on energy supply chain risk in theory, and has guiding significance for practitioners in related industries.
World leaders continue to place a high premium on organizing sustainable and clean water sources. Due to the importance of water to both public health and industry, there is a significant demand for adequate quality water supplies, which many countries throughout the world are under pressure to offer. Water scarcity and poor water quality continue to be significant problems in both the home and industrial sectors, particularly in India. Therefore, it is crucial to assess the current water treatment plant's (WTP's) performance efficiency. There are numerous ways to assess the performance of WTPs. These methods, meanwhile, are absolute because they treat each parameter equally, which only partially mirrors reality. This study provides a hybrid decision-making method that combines trapezoidal fuzzy FUCOM (TrF-FUCOM) and trapezoidal fuzzy TOPSIS (TrF-TOPSIS) to find the best option for enhancing a WTP's efficacy. TrF-FUCOM is used to assess the weights of the criteria, as well as TrF-TOPSIS is employed to rank the indicators. According to the results, improving the quality of incoming water is the most important parameter for improving the efficiency of WTPs. The outcomes of the suggested technique are contrasted with those of the already used technique. In addition, scenario analysis and sensitivity analysis are used to validate the suggested model.
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