PAVLAČKOVÁ, Martina, Ondřej PAVLAČKA and Tereza HORČIČKOVÁ. A fuzzy group decision-making model for measurement of companies´ performance. Economic Computation and Economic Cybernetics Studies and Research. 2023, vol. 57, No 2, p. 119-134. ISSN 0424-267X. Available from: https://dx.doi.org/10.24818/18423264/57.2.23.08.
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Basic information
Original name A fuzzy group decision-making model for measurement of companies´ performance
Authors PAVLAČKOVÁ, Martina (203 Czech Republic, belonging to the institution), Ondřej PAVLAČKA (203 Czech Republic) and Tereza HORČIČKOVÁ (203 Czech Republic).
Edition Economic Computation and Economic Cybernetics Studies and Research, 2023, 0424-267X.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10102 Applied mathematics
Country of publisher Romania
Confidentiality degree is not subject to a state or trade secret
WWW URL
Organization unit Moravian Business College Olomouc
Doi http://dx.doi.org/10.24818/18423264/57.2.23.08
UT WoS 001023056000008
Keywords in English Group Decision-making; Multi-criteria Evaluation; Fuzzy Consensus; Fuzzy Weighted Average Operation
Tags RIV2024
Changed by Changed by: Ing. Michaela Nováková, učo 5293. Changed: 27/3/2024 10:51.
Abstract
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.
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