A fuzzy group decision-making model for measurement of companies´ performance

@article{349626,
   author = {Pavlačková, Martina and Pavlačka, Ondřej and Horčičková, Tereza},
   article_number = {2},
   doi = {http://dx.doi.org/10.24818/18423264/57.2.23.08},
   keywords = {Group Decision-making; Multi-criteria Evaluation; Fuzzy Consensus; Fuzzy Weighted Average Operation},
   language = {eng},
   issn = {0424-267X},
   journal = {Economic Computation and Economic Cybernetics Studies and Research},
   title = {A fuzzy group decision-making model for measurement of companies´ performance},
   url = {https://ecocyb.ase.ro/nr2023_2/08_MartinaPavlackova_OndrejPavlacka.pdf},
   volume = {57},
   year = {2023}
}

TY  - JOUR
ID  - 349626
AU  - Pavlačková, Martina - Pavlačka, Ondřej - Horčičková, Tereza
PY  - 2023
TI  - A fuzzy group decision-making model for measurement of companies´ performance
JF  - Economic Computation and Economic Cybernetics Studies and Research
VL  - 57
IS  - 2
SP  - 119-134
EP  - 119-134
SN  - 0424267X
KW  - Group Decision-making
KW  - Multi-criteria Evaluation
KW  - Fuzzy Consensus
KW  - Fuzzy Weighted Average Operation
UR  - https://ecocyb.ase.ro/nr2023_2/08_MartinaPavlackova_OndrejPavlacka.pdf
N2  - In the paper, a fuzzy multi-criteria group evaluation model suitable for the measurement of companies & PRIME; performance is developed. The constructed model considers in addition to the traditionally used quantitative financial point of view also nonfinancial qualitative criteria such as Corporate Social Responsibility, innovation, or service level containing a considerable degree of uncertainty that can be appropriately modeled by the tools of fuzzy sets theory. Since the evaluations are often done by a group of experts with different opinions, our approach enables one to find at first a set of alternatives that are good enough for the sufficient quantity of relevant experts, and therefore to reach a consensus among evaluators. The best alternative is subsequently chosen from this set using a fuzzy weighted average operation. The model can be used for the comparison of companies in the same field, in one region, or to compare a company before and after managerial interventions.
ER  - 

PAVLAČKOVÁ, Martina, Ondřej PAVLAČKA a Tereza HORČIČKOVÁ. A fuzzy group decision-making model for measurement of companies´ performance. \textit{Economic Computation and Economic Cybernetics Studies and Research}. 2023, roč.~57, č.~2, s.~119-134. ISSN~0424-267X. Dostupné z: https://dx.doi.org/10.24818/18423264/57.2.23.08.