АНАЛИТИКАЛЫҚ ИЕРАРХИЯ ПРОЦЕСІНЕ НЕГІЗДЕЛГЕН АУЫЛШАРУАШЫЛЫҚ ТЕХНИКАСЫН БАҒАЛАУДЫҢ ИНТЕЛЛЕКТУАЛДЫ ТӘСІЛІ

Abstract

Selecting appropriate agricultural machinery is a complex decision-making task involving various agriculture-related variables and the decision-maker’s economic and social considerations. This study aims to enhance agricultural productivity by selecting optimal machinery through an intelligent information system.

The research proposes a multi-criteria decision-making model integrated into the system to eliminate subjectivity. It supports producers, suppliers, and policymakers in making reliable, data-driven decisions.

Four combine harvesters were evaluated using the Analytic Hierarchy Process (AHP) based on technical parameters. Unlike single-criterion approaches, this study justifies the importance of multiple factors and ensures reliability by calculating the consistency ratio of expert judgments.

The novelty lies in applying a multi-criteria evaluation method adapted to Kazakhstan’s agricultural context. The approach can guide machinery procurement, subsidy allocation, logistics planning, and modernization strategies, providing a scientific basis for future decision-making in the sector.