2020
DOI: 10.1016/j.inffus.2020.05.003
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A Choquet integral-based hesitant fuzzy gained and lost dominance score method for multi-criteria group decision making considering the risk preferences of experts: Case study of higher business education evaluation

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Cited by 47 publications
(9 citation statements)
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“…In recent years, many researchers have modelled the uncertain information using the HFSs [36][37][38][39][40]. With the early screening of lung cancer is becoming exceedingly significant for the effective treatment of lung cancer, Liao et al [36] constructed a framework uses the double normalization-based multi-aggregation (DNMA) and Delphi methods with HFSs to solve the lung cancer screening problem.…”
Section: Decision-making Evaluation Model With Hfssmentioning
confidence: 99%
“…In recent years, many researchers have modelled the uncertain information using the HFSs [36][37][38][39][40]. With the early screening of lung cancer is becoming exceedingly significant for the effective treatment of lung cancer, Liao et al [36] constructed a framework uses the double normalization-based multi-aggregation (DNMA) and Delphi methods with HFSs to solve the lung cancer screening problem.…”
Section: Decision-making Evaluation Model With Hfssmentioning
confidence: 99%
“…Liao et al ( 2020c ) combined the GLDS method with q-rung orthopair fuzzy sets to evaluate the investment of the BE angle capital. Liao et al ( 2020a ) proposed a Choquet integral-based hesitant fuzzy GLDS method to evaluate of higher business school education. Liang et al ( 2020 ) improved the GLDS method by a probability distribution and then implemented it in selecting the sites of electric vehicle charging stations.…”
Section: Preliminariesmentioning
confidence: 99%
“…It is applicable in all kinds of decisions either intellectually or practically. It is a strategic process that encompasses many steps [40]. The human process of decision-making is a slow process and time-consuming too.…”
Section: Literature Reviewmentioning
confidence: 99%