Results 241 to 250 of about 219,660 (301)

Evaluating the Impact of Aggregation Operators on Fuzzy Signatures for Robot Path Planning. [PDF]

Sensors (Basel)
Karadeniz AM, Hajdu C, Ballagi Á, Kóczy LT.   +3 more
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Analyzing EEG data during opium addiction treatment using a fuzzy logic-based machine learning model. [PDF]

Front Psychiatry
DehAbadi E, Anka FA, Vafaei F, Lanjanian H, Nematzadeh S, Torkamanian-Afshar M, Aghahosseinzargar N, Kiani F, Hassani-Abharian P.   +8 more
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Extended Directed Fuzzy Social Network Analysis: A framework and application to curriculum networks in Chinese vocational education. [PDF]

PLoS One
Zuo B, Shang K, Zhang J, Peng M, Zhu Z.
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An intuitionistic fuzzy automated negotiation model for personalized and efficient shared decision-making. [PDF]

Sci Rep
Lu P, Lu H, Wei Y, Dai B, Lin K, Wen S.
europepmc   +1 more source

Assessment of classroom design for physical education using COCOSO algorithm and modified Sugeno Weber aggregation operators. [PDF]

Sci Rep
Wei Q, Yao J, Zheng W.
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Applications of Fuzzy Set Theory, Fuzzy Measure Theory and Fuzzy Differential Calculus

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Fuzzy similarity measures and measurement theory

2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2019
We consider objects associated with a fuzzy set-based representation. By using a classic method of measurement introduced by Tversky, we establish necessary and sufficient conditions for the existence of a particular class of fuzzy similarity measures, agreeing with an ordering relation among pairs of objects which express the idea that two objects are
Coletti, Giulianella, Bouchon-Meunier, Bernadette   +1 more
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Fuzzy measurement theory

Measurement, 2008
Abstract Exact measurement is a mapping f0 from the structure of physical objects into the structure of real numbers R representing the results of measurement. In the framework of the fuzzy theory of measurement an inexact measurement is represented by a mapping f from a physical objects into a structure of fuzzy intervals.
Michał K. Urbański, Janusz Wa¸sowski
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Intuitionistic fuzzy similarity measure: Theory and applications

Journal of Intelligent & Fuzzy Systems, 2015
First we give notion of integral of intuitionistic fuzzy set and introduce intuitionistic fuzzy implicator and intuitionistic fuzzy inclusion measure. Then we propose a new measure of similarity between two intuitionistic fuzzy sets based on intuitionistic fuzzy inclusion measure.
Beg, Ismat, Rashid, Tabasam
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Fuzzy measure based on decomposition theory

Fuzzy Sets and Systems, 2000
The authors define a fuzzy measure \({\mathfrak M}^*\) for fuzzy numbers \(D\) by the formula \({\mathfrak M}^*(D)= \int^1_0(D_r(\alpha)- D_1(\alpha)) d\alpha\), where \(D_r(\alpha)\) and \(D_1(\alpha)\) are, respectively, the upper and lower bound of the \(\alpha\)-cut \(\{x\in \mathbb{R}:D(x)\geq \alpha\}= [D_1(\alpha), D_r(\alpha)]\).
Yao, Jing-Shing, Chang, San-Chyi
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