Results 71 to 80 of about 77,667 (184)
Fuzzy Entropy Used for Predictive Analytics
Process interruptions in (very) large production systems are difficult to deal with. Modern processes are highly automated; data is collected with sensor technology that forms a big data context and offers challenges to identify coming failures from the very large sets of data. Feature selection is intended to reduce the complexity of identifying cases
Carlsson Christer +3 more
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Natural gas based on combined fuzzy TOPSIS technique and entropy
In the present study we have presented the notion of FUZZY BAYESIAN DECISION TECHNIQUE and combined the idea of the Fuzzy TOPSIS technique and entropy. We define the new ideas of fuzzy TOPSIS technique and entropy.
Aliya Fahmi +3 more
doaj +1 more source
Identification of Greek Orthodox Church Chants Using Fuzzy Entropy
In this work, a comparison of Greek Orthodox religious chants is performed using fuzzy entropy. Using a dataset of chant performances, each recitation is segmented into overlapping time windows, and the fuzzy entropy of each window in the frequency ...
Lazaros Moysis +9 more
doaj +1 more source
Fuzzy 2-partition entropy threshold selection based on Big Bang–Big Crunch Optimization algorithm
The fuzzy 2-partition entropy approach has been widely used to select threshold value for image segmenting. This approach used two parameterized fuzzy membership functions to form a fuzzy 2-partition of the image.
Baljit Singh Khehra +2 more
doaj +1 more source
Fuzziness and Funds Allocation in Portfolio Optimization [PDF]
Each individual investor is different, with different financial goals, different levels of risk tolerance and different personal preferences. From the point of view of investment management, these characteristics are often defined as objectives and ...
Florentin Smar +3 more
core
Detecting faults in electrical power grids is of paramount importance, either from the electricity operator and consumer viewpoints. Modern electric power grids (smart grids) are equipped with smart sensors that allow to gather real-time information ...
De Santis, Enrico +3 more
core +1 more source
Information Entropy and Co–entropy of Crisp and Fuzzy Granulations [PDF]
The standard approach to information entropy applied to partitions of a universe is equivalently formulated as the entropy of the corresponding crisp identity resolutions, interpreted as crisp granulations, by the corresponding characteristic functionals. Moreover, in this crisp context the co---entropy notion is introduced.
Bianucci, D +2 more
openaire +2 more sources
Non-interactive fuzzy private matching [PDF]
Two fuzzy private matching protocols are introduced to allow a client to securely compare a list of words to a server list, and discover only those words on the server list that are similar to his, while the server learns nothing.
Doumen, J.M.
core +1 more source
We use princiles of fuzzy logic to develop a general model representing several processes in a system's operation characterized by a degree of vagueness and/or uncertainy.
Voskoglou, Michael Gr.
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Integration of fuzzy Shannon’s entropy with fuzzy TOPSIS for industrial robotic system section [PDF]
Purpose: The aim of this study is applying a new method for Industrial robotic system selection. Design/methodology/approach: In this paper, the weights of each criterion are calculated using fuzzy Shannon’s Entropy.
Chaghooshi, Ahmad Jafarnejad +2 more
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