Using the elements from a fuzzy sets theory in the process of diagnosing the loyalty of consumers of motor transport services

Abstract

<p>We developed an approach to diagnosing the complex loyalty of consumer of motor transport services based on the perceptual and behavioral characteristics with application of the theory of fuzzy sets. Diagnosing the level of consumer loyalty is the basis of a cyclical process of managing the loyalty of consumers of a motor transport company (MTC) in the field of freight transportation. Formation of loyalty depends on subjective perception by a consumer; therefore, the usual quantitative methods of analysis are not effective under conditions of fuzzy (incomplete) information. Application of the results of the theory of fuzzy sets to the analysis and evaluation of the consumer loyalty makes it possible to obtain fundamentally new models and methods of analysis.</p><p>The method of data aggregation based on the fuzzy classifier makes it possible to proceed from quantitative and qualitative values of individual indicators of perception and behavior of a consumer to complex indicators of loyalty. We obtained the empirical data used in the present study by questioning consumers. The study is based on actual data on the transportation of goods for each customer of a company. We performed quantitative assessment of integral factors of perceptual (attitudinal), behavioral and complex customer loyalty according to the standard matrix assessment scheme. A three-level classification has been applied with "Low level, Middle level, High level" subset-terms of "Loyalty level" linguistic variable to recognize the level of these factors. It was found that most consumers have an average and high level of loyalty to MTC in the assessment based on results of estimating the level of customer loyalty of the motor transport company.</p><p>The use of fuzzy sets makes it possible to identify the mutual influence of perceptual and behavioral factors on formation of the complex consumer loyalty comprehensively, as well as to simulate different situations depending on the predicted indicators of interaction with a consumer. It is a prerequisite for the development of loyalty of consumers of motor transport services through the development of loyalty programs and individual strategies for interaction.</p>

Authors and Affiliations

Iryna Fedotova, Oksana Kryvoruchko, Volodymyr Shynkarenko, Nadiia Bocharova, Liudmyla Sotnychenko, Svetlana Dimitrakieva

Keywords

Related Articles

Analysis of properties of epoxy compositions that operate in contact with water and oil products

<p>We modified epoxy resin-based polymer solutions to increase durability in aggressive environments and to reduce costs. We achieved the objective via filling them with the multifractional mineral frame and modification...

Studying the influence of production conditions on the content of operations in logistic systems of milk collection

<p>The algorithm of coordination of the content and time of operations execution in logistic systems of milk collection with manufacturing conditions was developed. The appropriateness of execution of eleven management o...

Experimental study of the effect of nanoparticles of ТiO2 on the thermophysical properties of the refrigerant R141b

<p>The results of the experimental study of the thermophysical properties of the R141b refrigerant, R141b/Span-80 surfactant solution and R141b/Span-80 surfactant/TiO<sub>2</sub> nanoparticles nanofluid are presented. Th...

Principles of construction and identification of a multilevel system for monitoring parameters of technological cycle of casting

<p>For the creation of a multi-level system of integrated control and operational management of physical-chemical and technological casting processes, deterministic causality of technological objects was determined. Thes...

Synthesis and technical realization of control systems with discrete fractional integral-differentiating controllers

<p>Control systems with a fractional order which provide better dynamic and static indicators for many technical objects in comparison with systems with integer order of astaticism were studied. Based on the analysis of...

Download PDF file
  • EP ID EP666395
  • DOI 10.15587/1729-4061.2019.169079
  • Views 76
  • Downloads 0

How To Cite

Iryna Fedotova, Oksana Kryvoruchko, Volodymyr Shynkarenko, Nadiia Bocharova, Liudmyla Sotnychenko, Svetlana Dimitrakieva (2019). Using the elements from a fuzzy sets theory in the process of diagnosing the loyalty of consumers of motor transport services. Восточно-Европейский журнал передовых технологий, 3(3), 39-49. https://europub.co.uk/articles/-A-666395