KIBERNETYKA TA SYSTEMNYI ANALIZ
International Theoretical Science
Journal
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1 Jerusalem College of Technology, Jerusalem, Israel; Vasyl’ Stus Donetsk National University,
Vinnytsia, Ukraine
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2 Vasyl’ Stus Donetsk National University, Vinnytsia, Ukraine
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3 Vasyl’ Stus Donetsk National University, Vinnytsia, Ukraine
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Abstract. An approach to the formulation and solution of the problem of optimal selection of quality indicators for products, taking into account the interests of both the producer and the consumer, is proposed. The problem is formulated in terms of mathematical programming. The optimization criterion is the maximum closeness between the attractiveness level of the product and the desire to purchase it; the controlled variables are the levels of indicators specific to the manufacturer and the consumer; the constraints are agreements regarding the necessary levels of indicators shared by both the manufacturer and the consumer. Fuzzy cognitive maps are used to construct the dependencies that appear in the objective function, and optimal solutions are found using a genetic algorithm. The approach is illustrated by the example of a robotic vacuum cleaner, which is one of the best-selling household applications of artificial intelligence.
Keywords: product quality, quality parameters, producer, consumer, optimization, fuzzy cognitive map, genetic algorithm, robotic vacuum cleaner.
