… -1 fuzzy sets can model the linguistic uncertainty from a single user, ie, intra-personal
uncertainty. Type-1 fuzzy … Interval type-2 fuzzy sets can simultaneously model both intra-personal …

… learning in real-world problems such as game and optimization decision, and intelligent
driving … Maximum entropy inverse reinforcement learning in continuous state spaces with path …

… Li M, Liu L, Li CB (2011) An approach to expert recommendation based on fuzzy linguistic
method and fuzzy text classification in knowledge management systems. Expert Syst Appl 38 (…

… models can hardly develop the inherent rules of complex nonlinear dynamic financial systems.
In this paper, based on the fuzzy technique … in fitting the fuzzy autoregression model stage …

: 生态补偿作为缓解当前生态环境问题, 协调经济, 社会与环境可持续发展的有效手段, 已成为国内
外学者及政府关注的焦点. 目前, 国内外已开展了大量有关生态补偿的理论研究和实践, 并取得…

… Then, we re estimate that probabilities with gaussian distribution smoothing filter to makes
the states represent any pattern. 2. Self transition probabilities are kept as in the gesture …

… Energy scheduling for a three-level integrated energy system based on energy hub
models:a hierarchical Stackelberg game approach[J].Sustainable Cities and Society,2020, 52:…

… Based on the DPSIR model, this paper builds a haze governance level and efficiency index
… using the entropy method and the super-efficiency data envelope-analysis (DEA) model to …

… inverse signal processing and reward function estimation methods;iv)efficient … ioral
game theory;v)theoretical error analysis of electronic reconnaissance tasks and methods;vi)general …

… A generic method for the evaluation of interval type-2 fuzzy linguistic summaries. IEEE
Transactions on Cybernetics, 2014, 44(9): 1632−1645 doi: 10.1109/TCYB.2013.2291272 …