About Premise Reduction of Fuzzy Inference Algorithm

2009 ◽  
Vol 1 (3) ◽  
pp. 247-257
Author(s):  
Cheng-yi Zhang ◽  
Qi Niu ◽  
De-jun Peng ◽  
Juan Li
Keyword(s):  
Fuzzy Inference ◽  
Inference Algorithm

scholarly journals Issues of Estimating the Quality of the Facilities Management of the Emercom of Russia at the Elimination of the Emergency Situations Consequences

2018 ◽  
Vol 7 (4.38) ◽  
pp. 704
Author(s):  
Valeriy Borisovich Vilkov ◽  
Andrey Kliment’evich Chernykh ◽  
Alexander Alekseevich Tarantsev ◽  
Yuri Evgenievich Aktersky ◽  
Ilya Danilovich Cheshko
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Sets ◽  
Fuzzy Inference ◽  
Facilities Management ◽  
Inference Algorithm ◽  
Emergency Situations ◽  
The Russian Federation ◽  
Civil Defence ◽  
Sets Theory

The article deals with the problem of multiobjective optimization with regard to the decision making on the use of the forces and facilities of the EMERCOM of Russia (Ministry of the Russian Federation for Affairs for Civil Defence, Emergencies and Elimination of Consequences of Natural Disasters). The purpose of the article is to create a method for prompt and reasonable calculations when making a decision on the use of the EMERCOM forces and facilities to eliminate the consequences of emergency situations. The proposed method uses fuzzy sets, fuzzy logic, and the Mamdani fuzzy inference algorithm. The work gives a substantial example illustrating the application of the mentioned theory to solve the problem of choosing the optimal version of the task performed by the facilities of the EMERCOM of Russia. Regarding the novelty, it should be noted that the quality characteristics of the solutions are fuzzy and not unambiguously defined, and therefore allow applying the effective mathematical apparatus of fuzzy sets theory, fuzzy logic and the Mamdani fuzzy inference algorithm in solving this problem. 

scholarly journals Quantum Software EngineeringSupremacy in Intelligent Robotics

2020 ◽  
pp. 135-146
Author(s):  
V. V. Korenkov ◽  
A. G. Reshetnikov ◽  
S.V. Ulyanov
Keyword(s):  
Fuzzy Inference ◽  
Quantum Algorithms ◽  
New Method ◽  
Inference Algorithm ◽  
Robotic Control ◽  
Circuit Implementation ◽  
New Approach ◽  
Support Tool ◽  
Quantum Operators ◽  
Intelligent Robotics

A new approach for implementing quantum massive parallel computations is presented, using methods of circuit implementation of quantum algorithmic gates. Methods for designing fast quantum operators such as superposition, entanglement, andinterference are considered. The presented methodsallow you to reduce the number of actions that must be performed. The implementation is presented as a support tool for SW&HW supercomputer accelerator for modeling quantum algorithms. In particular, a newquantum-genetic and quantum-fuzzy inference algorithm for intelligent robotic control has been implemented. Also, a new method for performing Grover's inference without operations with the productis presented.

scholarly journals Automatic Categorization of Documents Using Latent Semantic Analysis and Fuzzy Inference Algorithm of Mamdani

2015 ◽  
Vol 1 (44) ◽  
pp. 5 ◽  
Author(s):  
Anatoly Dmitrievich Khomonenko ◽  
Sergej Vjacheslavovich Logashev ◽  
Sergey Aleksandrovich Krasnov
Keyword(s):  
Latent Semantic Analysis ◽  
Semantic Analysis ◽  
Fuzzy Inference ◽  
Inference Algorithm ◽  
Automatic Categorization
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