WEB-BASED MULTI-CRITERIA RANKING OF SWEET CHERRY CULTIVARS USING THE MARCOS METHOD

The aim of this work was to rank and select the most favorable of six sweet cherry cultivars using the web-oriented FRUITrank application, which incorporates the MARCOS (the Measurement of Alternatives and Ranking according to Compromise Solution) multi-criteria decision-making algorithm. During the ranking, 10 criteria were taken into account, one of which relates to the harvest start time, three to the physical characteristics of the fruit (including the pedicel), four to the chemical properties of the fruit, and one to the organoleptic characteristics. Alternative A3 (Kordia cultivar) was ranked as the best, the Izabela cultivar (A4) as second place, while Summit (A5) was placed at the bottom of the ranking. Considering the fact that the complexity of algorithms of various MCDM (Multi-Criteria Decision Making) methods often limits their application, based on the results obtained, it can be concluded that the mentioned and similar digital solutions solve the mentioned problem, i.e., enable wider application of MCDM techniques both in fruit production and in agriculture in general.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.46793/sbt30.22mr
Citations
1
Primary Topic
Soil and Land Suitability Analysis
Type
article
Field-Weighted Citation Impact
2.42
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article

WEB-BASED MULTI-CRITERIA RANKING OF SWEET CHERRY CULTIVARS USING THE MARCOS METHOD

Željko Stević, Grujica Vico, Aleksandra Govedarica-Lučić, Danijel Mijić et al.
1 citations
Soil and Land Suitability Analysis
2.42
article

WEB-BASED MULTI-CRITERIA RANKING OF SWEET CHERRY CULTIVARS USING THE MARCOS METHOD

Željko Stević, Grujica Vico, Aleksandra Govedarica-Lučić, Danijel Mijić, Radomir Bodiroga, Nikola Kukrić, Mirjana Radović
article en
1 citations

Abstract

The aim of this work was to rank and select the most favorable of six sweet cherry cultivars using the web-oriented FRUITrank application, which incorporates the MARCOS (the Measurement of Alternatives and Ranking according to Compromise Solution) multi-criteria decision-making algorithm. During the ranking, 10 criteria were taken into account, one of which relates to the harvest start time, three to the physical characteristics of the fruit (including the pedicel), four to the chemical properties of the fruit, and one to the organoleptic characteristics. Alternative A3 (Kordia cultivar) was ranked as the best, the Izabela cultivar (A4) as second place, while Summit (A5) was placed at the bottom of the ranking. Considering the fact that the complexity of algorithms of various MCDM (Multi-Criteria Decision Making) methods often limits their application, based on the results obtained, it can be concluded that the mentioned and similar digital solutions solve the mentioned problem, i.e., enable wider application of MCDM techniques both in fruit production and in agriculture in general.

Openalex Percentile: Top 13%
Soil and Land Suitability Analysis
2.42
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WEB-BASED MULTI-CRITERIA RANKING OF SWEET CHERRY CULTIVARS USING THE MARCOS METHOD — Željko Stević, Grujica Vico, et al. · (2025) | TGRS Research Map | TGRS