Results 241 to 250 of about 200,066 (302)

Intelligent Modeling of Erosion-Corrosion in Polymer Composites: Integrating Fuzzy Logic and Machine Learning. [PDF]

Polymers (Basel)
Alqurashi HF, Abdellah MY, Alshareef M, Hassan MK, Alabdullah FT, Moamed AF.   +5 more
europepmc   +1 more source

Sleep-wakeup based secure multipath routing in wsn using fennec fox optimized deep learning framework. [PDF]

Sci Rep
J MB, Suresh D, Karthikeyan R.
europepmc   +1 more source

Reassessment of aviation risk safety barriers using stochastic and lexical uncertainty. [PDF]

Sci Rep
Saputra H, Soehodho S.
europepmc   +1 more source

Research on synchronous load control of shield beam for 50,000 kN hydraulic support test bench. [PDF]

PLoS One
Wu C, Wu T, Zhao L, Li W, Zhang Q, Li L, Chen Q.   +6 more
europepmc   +1 more source

Representing Events using Fuzzy Temporal Boundaries

, 2005
Harter, Derek, Lu, Shulan
openaire   +1 more source

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Fuzzy Probabilities of Fuzzy Events

Cybernetics and Systems Analysis, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Provotar, O. I., Provotar, O. O.
openaire   +2 more sources

Measures of fuzziness of fuzzy events

Fuzzy Sets and Systems, 1987
We prove some new results on two families of fuzzy integrals defined in a previous paper, and by means of them we obtain entropy measures of fuzzy sets (not necessarily finite) which contain as particular cases the measures of Batle and Trillas, and Weber.
Suárez García, Fermín, Gil Álvarez, Pedro   +1 more
openaire   +1 more source

Fuzzy probability and fuzzy events

PROBLEMS IN PROGRAMMING, 2016
The article deals with different approaches to calculating the probability of fuzzy event. We consider The problems in fuzzy formulation, which are solving with help of the proposed approaches to the calculation of fuzzy probability are considered.
O.I. Provotar, O.V. Vasylenko, O.O. Provotar   +2 more
openaire   +1 more source

Fuzzy measure of fuzzy events defined by fuzzy integrals

Fuzzy Sets and Systems, 1992
Summary: We define the concept of the fuzzy measure of a fuzzy event by using a general form of fuzzy integral proposed by Murofushi, called a fuzzy \(t\)- conorm integral, encompassing previous definitions. Zadeh defined the probability measure of a fuzzy event, and later the possibility measure of a fuzzy event.
M. GRABISCH, T. MUROFUSHI, M. SUGENO
openaire   +2 more sources

Fuzzy detectabilities for fuzzy discrete event systems

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017
Fuzzy discrete event systems are useful models for solving complex practical problems in biomedical and other fields. The theory of detectabilities in conventional crisp discrete event systems investigates state determination or estimation based on event observation.
Ahmed O. Mekki, Feng Lin, Hao Ying, Michael J. Simoff   +3 more
openaire   +1 more source