Consumer Behavior Modeling: Fuzzy Logic Model for Air Purifiers Choosing
| Autor: | Oleksandr Dorokhov, Liudmyla Dorokhova, Milica Delibasic, Justas Streimikis |
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| Jazyk: | English<br />Croatian<br />Russian |
| Rok vydání: | 2017 |
| Předmět: | |
| Zdroj: | Montenegrin Journal of Economics, Vol 13, Iss 4, Pp 61-77 (2017) |
| Druh dokumentu: | article |
| ISSN: | 1800-5845 1800-6698 |
| DOI: | 10.14254/1800-5845/2017.13-4.5 |
| Popis: | At the beginning, the article briefly describes the features of the marketing complex household goods. Also provides an overview of some aspects of the market for indoor air purifiers. The specific subject of the study was the process of consumer choice of household appliances for cleaning air in living quarters. The aim of the study was to substantiate and develop a computer model for evaluating by the potential buyers devices for air purification in conditions of vagueness and ambiguity of their consumer preferences. Accordingly, the main consumer criteria are identified, substantiated and described when buyers choose air purifiers. As methods of research, approaches based on fuzzy logic, fuzzy sets theory and fuzzy modeling were chosen. It was hypothesized that the fuzzy-multiple model allows rather accurately reflect consumer preferences and potential consumer choice in conditions of insufficient and undetermined information. Further, a computer model for estimating the consumer qualities of air cleaners by customers is developed. A proposed approach based on the application of fuzzy logic theory and practical modeling in the specialized computer software MATLAB. In this model, the necessary membership functions and their terms are constructed, as well as a set of rules for fuzzy inference to make decisions on the estimation of a specific air purifier. A numerical example of a comparative evaluation of air cleaners presented on the Ukrainian market is made and is given. Numerical simulation results confirmed the applicability of the proposed approach and the correctness of the hypothesis advanced about the possibility of modeling consumer behavior using fuzzy logic. The analysis of the obtained results is carried out and the prospects of application, development, and improvement of the developed model and the proposed approach are determined. |
| Databáze: | Directory of Open Access Journals |
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