Tomohiro Takagi’s research while affiliated with Tokyo Institute of Technology and other places

... Bellman and Zadeh [5] introduced the fundamental concepts of fuzzy reasoning in 1970 and Zadeh [41] used it in decision making process of a complex system in 1973. Later on, Mamdani and Assilian [33], Tsukamoto [40] and Sugeno and Takagi [39] made further contribution on fuzzy reasoning in decision making process. ...

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Forward and backward fuzzy rule base interpolation using fuzzy geometry

... This increased popularity can be attributed to the fact that fuzzy logic provides a powerful vehicle that allows engineers to incorporate human reasoning in the control algorithm. In particular, fuzzy control involves the simulation of human decision-making, especially in capturing the approximate, inexact nature of human thought and language applied in controlling complex systems ( see Javier Barragan et al. (2018); Takagi and Sugeno (1985); Tanaka et al. (1996);Vatankhah Ghadim et al. (2023); Wang et al. (2023); Zadeh (1973)). The controller designed using fuzzy logic implements human reasoning that has been programmed into fuzzy logic language (membership functions, rules and the rule interpretation). ...

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Convergence criteria of fuzzy bilinear systems subject to bounded uncertainties

... Enabling the system to infer outputs under various input conditions. These rules are crucial for managing uncertainty and imprecision in control algorithms within systems [38,39]. ...

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Enhancing Decision-making in Uncertain Domains through Optimized Fuzzy Logic Systems