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Fuzzy regression analysis using trapezoidal fuzzy numbers method, a linear fuzzy model of the gross regional product as an indicator of the economic development

Fuzzy logic application approach in control of automatic spacecraft models in the form of fuzzy production rules, which have clarity and simplicity of meaningful

Creation of A Fuzzy Neural Networks to Assess Environmental Safety fuzzy knowledge production base for classification. As a result of training, a fuzzy model with a

Management of Transport and Logistics System Based on Predictive Cognitive and Fuzzy Models model is used to reduce the number of fuzzy products. The article also provides a methodological example

Fuzzy multi-criterial choice of geological and technical measures parameters are highlighted. To solve this problem, a fuzzy-production model is proposed

Economic-mathematical modeling of the total costs of innovative chemical enterprise methods of fuzzy set theory chemical enterprise in the face of uncertainty. This approach is based on the discrete fuzzy numbers gives

Method for neuro-fuzzy inference system learning for ICE tests
of an intelligent model for tuning an automated test system for diesel engines is considered. A neuro-fuzzy network

Application of fuzzy models of evolutionary development in optimal control of the system of planned preventative maintenance and repair of equipment for multistage production of the crucial components of production, that is, of maintenance and repair system. The suggested control model

A novel mathematical model to design an agile supply chain for perishable productsThis paper proposes a novel multi-objective mathematical model to design a multi-product agile

Analysis of efficiency of the innovative project in the field of chemistry fuzzy logic to risk assessment. Lately fuzzy modeling is one of the most active and promising applied research

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