Mathematics for logical computer-aided analysis of decisions in agromarketing
Boris Alexandrovich Kulik, A. Ya. Fridman · E3S Web of Conferences · 2020
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.