Modeling Humanoid Robots Mimics Using Intuitionistic Fuzzy Sets

2020 ◽  
pp. 339-346
Author(s):  
Cengiz Kahraman ◽  
Sezi Cevik Onar ◽  
Basar Oztaysi ◽  
Irem Otay
Keyword(s):  
Fuzzy Sets ◽  
Humanoid Robots ◽  
Intuitionistic Fuzzy Sets ◽  
Intuitionistic Fuzzy

Modeling humanoid robots facial expressions using Pythagorean fuzzy sets

2020 ◽  
Vol 39 (5) ◽  
pp. 6507-6515
Author(s):  
Cengiz Kahraman ◽  
Eda Boltürk ◽  
Sezi Cevik Onar ◽  
Basar Oztaysi
Keyword(s):  
Fuzzy Sets ◽  
Facial Expressions ◽  
Humanoid Robot ◽  
Humanoid Robots ◽  
Intuitionistic Fuzzy Sets ◽  
Decision Makers ◽  
Pythagorean Fuzzy Sets ◽  
Intuitionistic Fuzzy ◽  
Human Emotions ◽  
And Behaviors

Pythagorean fuzzy sets (PFS) are an extension of intuitionistic fuzzy sets introduced by Atanassov [1]. PFSs have the advantage of providing larger domains for assigning membership and non-membership degrees satisfying that their squared sum is at most equal to one. PFS 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. Different human emotions and behaviors can be modeled in humanoid robots (HR) by fuzzy sets. In this paper, facial expressions of a humanoid robot are modeled depending on the degrees of the emotions. Larger degree of emotion causes a stronger indicator of the facial mimic.

One Hundredth of Intuitionistic Fuzzy Sets

2019 ◽  
Vol 10 (3) ◽  
pp. 445-453
Author(s):  
R. Nagalingam ◽  
S. Rajaram
Keyword(s):  
Fuzzy Sets ◽  
Intuitionistic Fuzzy Sets ◽  
Intuitionistic Fuzzy

Probability Theory for Fuzzy Quantum Spaces with Statistical Applications

2017 ◽  
Author(s):  
Renáta Bartková ◽  
Beloslav Riečan ◽  
Anna Tirpáková
Keyword(s):  
Probability Theory ◽  
Fuzzy Sets ◽  
Ergodic Theorem ◽  
Intuitionistic Fuzzy Sets ◽  
Mathematics Students ◽  
Intuitionistic Fuzzy ◽  
Individual Ergodic Theorem ◽  
Recurrence Theorem ◽  
The Individual ◽  
Atanassov Intuitionistic Fuzzy Sets

The reference considers probability theory in two main domains: fuzzy set theory, and quantum models. Readers will learn about the Kolmogorov probability theory and its implications in these two areas. Other topics covered include intuitionistic fuzzy sets (IF-set) limit theorems, individual ergodic theorem and relevant statistical applications (examples from correlation theory and factor analysis in Atanassov intuitionistic fuzzy sets systems, the individual ergodic theorem and the Poincaré recurrence theorem). This book is a useful resource for mathematics students and researchers seeking information about fuzzy sets in quantum spaces.

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