E3S Web of Conf.
Volume 222, 2020International Scientific and Practical Conference “Development of the Agro-lndustrial Complex in the Context of Robotization and Digitalization of Production in Russia and Abroad” (DAIC 2020)
|Number of page(s)||6|
|Section||Creation and use of Modern Digital, Intelligent, Robotic Systems and Technologies, New Materials and Methods of Construction, Big Data Processing and the Internet of Things in the Agro-Industrial Complex|
|Published online||22 December 2020|
Mathematics for logical computer-aided analysis of decisions in agromarketing
1 Institute of Problems in Mechanical Engineering of RAS, 199178 St. Petersburg, Russia
2 Institute for Informatics and Mathematical Modelling, Kola Science Centre of RAS, 184209 Apatity, Murmansk reg., Russia
* Corresponding author: firstname.lastname@example.org
Collecting data on possible solutions and comparing them should be an integral part of any research in agromarketing. Publications on this topic offer a number of quantitative methods for carrying out such an analysis, but their reliability depends significantly on the accuracy of the initial data, which is usually low. This article describes a logical framework for detecting uncertainties, inconsistencies, and contradictions in the information regarding possible decisions with using our previously developed n-tuple algebra. In our opinion, this allows to computerize an important part of planning tasks in agromarketing and provides good means to objectify and enrich results of any analysis of decision options.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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