A novel uncertain bimatrix game with Hurwicz criterion

Neutrosophic game pricing methods with risk aversion for pricing of data products

“…On the other hand, for describing the limited rationality of decision makers, several researchers have introduced the optimistic value theory into game issues. For example, Liu and Xu (2014) calculated the optimal pricing of competitive supply chains according to the α ‐optimistic values of fuzzy variables under Stackelberg game scenarios; Yang and Gao (2017) resolved the two‐firm advertising problem with α ‐optimistic equilibrium strategy; Tan et al (2018) discussed the bounded rationality behaviours of players using a α ‐optimistic value criterion in fuzzy Bertrand game; Brikaaa et al (2019) constructed a tourism planning management model with α ‐optimistic value theory; and Tang and Li (2020) investigated a novel uncertain bimatrix game with optimistic value criteria.…”

“…That is, let c 1 = c 2 = 100,d 1 =d 2 = 160,200,220 ð Þ ,ê 1 =ê 2 = 1:0,2:0,3:0 ð Þ andĝ = 1:2,1:8,2:8 ð Þ . Then, the optimal pricings and α-optimistic values of providers' profits are calculated using the Bertrand game method in (Tan et al, 2018) and the Stackelberg game method in (Liu & Xu, 2014), respectively.…”

“…Similarly, the α-optimistic values of providers' profits and the total profits are unequal under diverse uncertain circumstances. Specifically, when two providers are in the Bertrand game scenario, the highest pricings and the α-optimistic values of providers' profits are obtained with the proposed approaches, followed by the intuitionistic fuzzy pricing approach (Jafarian et al, 2019), and the fuzzy pricing approach (Tan et al, 2018) comes last. When two providers are in the Stackelberg game scenario, similar conclusions can be drawn.…”

Interactive Decision Making for Multiobjective Bimatrix Games with Fuzzy Payoffs Based on Possibility Measure

“…Gao [3] introduced three kinds of uncertain equilibrium solution concepts based on uncertainty theory [4], which depend on the values of confidence levels. From a similar point of view based on uncertainty theory, Tang et al [10] proposed an uncertain equilibrium solution concept based on the Hurwicz criterion.…”

Special issue on decision making and uncertainty

“…The three papers by Fang and Hong (2019), Fang et al (2019), and Hu and Gao (2018) propose some different uncertain regression models, respectively, in which observations are assumed as uncertain variables. The three papers by , Tang and Li (2018) and Zhao et al (2018) investigate the different uncertain game models, respectively, in which payoffs are described as uncertain variables. The two papers by Jiang et al (2018) and Wen et al (2019) study several new uncertain DEA models, respectively.…”