A new Pythagorean fuzzy-based decision-making method through entropy measure for fuel cell and hydrogen components supplier selection

A q-rung orthopair fuzzy ARAS method based on entropy and discrimination measures: an application of sustainable recycling partner selection

“…Alrasheedi et al (2021) presented a novel Pythagorean fuzzy entropy measure-based hybrid method for sustainable supplier selection. Alipour et al (2021) introduced a new entropy measure for PFS and further, applied to derive the criteria weights in the assessment of fuel cell and hydrogen components suppliers. Discrimination measure is an imperious tool to quantify the deviation between two sets.…”

A Novel T-Spherical Fuzzy REGIME Method for Managing Multiple-Criteria Choice Analysis Under Uncertain Circumstances

“…Realistic decision-making activities are usually highly sophisticated and poorly structured, and many classical decision models cannot directly deal with these complicated problems (Alipour et al, 2021;Garg, 2021b;Garg and Rani, 2021;Ullah et al, 2021b). Numerous classical decision models manage crisp assessment data, which means that the subjective judgment offered by the decision maker is expressed as a precise number.…”

“…Numerous classical decision models manage crisp assessment data, which means that the subjective judgment offered by the decision maker is expressed as a precise number. Nevertheless, in considerable down-to-earth situations, the decision information may be inaccurate and/or imprecise (Alipour et al, 2021;Garg, 2021a;Ullah et al, 2021a;Wang and Chen, 2021). Moreover, the decision maker may be unable to explicitly give accurate numerical values for subjective evaluations in uncertain circumstances (Gao and Deng, 2021;Garg, 2021b;Garg and Rani, 2021).…”

“…Moreover, the decision maker may be unable to explicitly give accurate numerical values for subjective evaluations in uncertain circumstances (Gao and Deng, 2021;Garg, 2021b;Garg and Rani, 2021). In particular, certain judgment criteria are qualitative or equivocal in nature, making it difficult for the decision maker to exploit precise values to externalize subjective assessments and preferences (Alipour et al, 2021;Garg and Rani, 2021;Ullah et al, 2021b). Convoluted decision-making issues usually involve inaccuracy, ambiguity, and indefiniteness, resulting in traditional decision models and relevant canonical techniques often ineffective when manipulating subjective assessment information (Garg, 2021a(Garg, , 2021bWang and Chen, 2021).…”

“…Convoluted decision-making issues usually involve inaccuracy, ambiguity, and indefiniteness, resulting in traditional decision models and relevant canonical techniques often ineffective when manipulating subjective assessment information (Garg, 2021a(Garg, , 2021bWang and Chen, 2021). The aforementioned difficulties and considerations make the notion of fuzzy sets flourish in decision theory (Alipour et al, 2021;Gao and Deng, 2021;Garg, 2021b).…”