PMID- 33630837
OWN - NLM
STAT- MEDLINE
DCOM- 20210802
LR  - 20210802
IS  - 1932-6203 (Electronic)
IS  - 1932-6203 (Linking)
VI  - 16
IP  - 2
DP  - 2021
TI  - Evaluation of rapeseed varieties using novel integrated fuzzy PIPRECIA - Fuzzy 
      MABAC model.
PG  - e0246857
LID - 10.1371/journal.pone.0246857 [doi]
LID - e0246857
AB  - Decision making is constantly present in agriculture. Choosing the wrong variety 
      carries the risk that the investment in terms of sowing does not pay off at all. 
      Therefore, it is necessary to choose the variety that gives the best results. In 
      order to achieve this, it is necessary to apply multi-criteria decision-making of 
      available varieties, which is, in this paper, done on the example of hybrid 
      varieties of rapeseed that were created by selection at the Institute of Field 
      and Vegetable Crops in Novi Sad. By applying fuzzy logic, a novel integrated 
      Multi-Criteria Decision-Making (MCDM) model is developed and rapeseed varieties 
      were evaluated. For determining four main and 20 subcriteria, fuzzy PIPRECIA 
      (PIvot Pairwise RElative Criteria Importance Assessment) method has been applied 
      based on fuzzy Bonferroni operator, while for ranking alternatives fuzzy MABAC 
      (Multi-Attributive Border Approximation area Comparison) method has been used. 
      The results obtained using the novel integrated fuzzy MCDM model showed that the 
      variety A2 - Zorica has the best results, followed by A1 - NS Ras, while the 
      worst results were seen by the variety A5 - Zlatna. These results were confirmed 
      using other five fuzzy MCDM methods. Sensitivity analysis-changing criteria 
      weights showed the worst results in the variety A6 - Jovana, which took last 
      place in the application of 18 scenarios. The presented model and the results of 
      this research will help farmers to solve this decision problem.
FAU - Nedeljkovic, Miroslav
AU  - Nedeljkovic M
AD  - Agricultural Faculty, University of Bijeljina, Bijeljina, Bosnia and Herzegovina.
FAU - Puska, Adis
AU  - Puska A
AD  - Government of the Brcko District of BiH, Brcko, Bosnia and Herzegovina.
FAU - Doljanica, Suzana
AU  - Doljanica S
AD  - Faculty of Applied Management, Economics and Finance, University Business 
      Academy, Novi Sad, Serbia.
FAU - Virijevic Jovanovic, Sasa
AU  - Virijevic Jovanovic S
AD  - Faculty of Applied Management, Economics and Finance, University Business 
      Academy, Novi Sad, Serbia.
FAU - Brzakovic, Pavle
AU  - Brzakovic P
AD  - Faculty of Applied Management, Economics and Finance, University Business 
      Academy, Novi Sad, Serbia.
FAU - Stevic, Zeljko
AU  - Stevic Z
AD  - Faculty of Transport and Traffic Engineering, University of East Sarajevo, 
      Sarajevo, Bosnia and Herzegovina.
FAU - Marinkovic, Dragan
AU  - Marinkovic D
AUID- ORCID: 0000-0002-3583-9434
AD  - Faculty of Mechanical Engineering and Traffic Systems, TU Berlin, Berlin, 
      Germany.
LA  - eng
PT  - Evaluation Study
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20210225
PL  - United States
TA  - PLoS One
JT  - PloS one
JID - 101285081
SB  - IM
MH  - Brassica napus/*growth & development
MH  - Brassica rapa/*growth & development
MH  - Crops, Agricultural/*growth & development
MH  - Fuzzy Logic
MH  - *Models, Biological
PMC - PMC7906314
COIS- The authors have declared that no competing interests exist.
EDAT- 2021/02/26 06:00
MHDA- 2021/08/03 06:00
PMCR- 2021/02/25
CRDT- 2021/02/25 17:16
PHST- 2020/10/20 00:00 [received]
PHST- 2021/01/27 00:00 [accepted]
PHST- 2021/02/25 17:16 [entrez]
PHST- 2021/02/26 06:00 [pubmed]
PHST- 2021/08/03 06:00 [medline]
PHST- 2021/02/25 00:00 [pmc-release]
AID - PONE-D-20-32986 [pii]
AID - 10.1371/journal.pone.0246857 [doi]
PST - epublish
SO  - PLoS One. 2021 Feb 25;16(2):e0246857. doi: 10.1371/journal.pone.0246857. 
      eCollection 2021.