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    Extensions of Ordinary Fuzzy Sets: A Comparative Literature Review
    (Springer, 2021) Kahraman, C.; Oztaysi, B.; Otay, I.; Onar, S.C.
    Fuzzy sets extensions have been often used in the modeling of problems including vagueness and impreciseness in order to better define the membership functions together with the hesitancy of decision makers. More than 20 different extensions of ordinary fuzzy sets have appeared in the literature after the introductions of ordinary fuzzy sets by Zadeh (1965). These sets involve interval-type fuzzy sets, type-2 fuzzy sets, hesitant fuzzy sets, intuitionistic fuzzy sets, Pythagorean fuzzy sets, q-rung orthopair fuzzy sets, spherical fuzzy sets, picture fuzzy sets, fermatean fuzzy sets, etc. Mainly, these extensions can be divided into two classes: extensions with two independent membership parameters and extensions with three independent membership parameters. In this paper, we briefly classify these extensions and present some comparative graphical illustrations. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
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    Modeling Humanoid Robots Mimics Using Intuitionistic Fuzzy Sets
    (Springer, 2021) Kahraman, C.; Onar, S.C.; Oztaysi, B.; Otay, I.
    Intuitionistic fuzzy sets (IFS) have been often used in modeling the problems under vagueness and impreciseness in order to better define the problems together with the hesitancy of decision makers. IFS have been often employed in modeling decision making problems in the literature. Human decision making process can be used in humanoid robots by imitating the human decisions and behaviors. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.