J 2023

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

PAVLAČKOVÁ, Martina, Ondřej PAVLAČKA and Tereza HORČIČKOVÁ

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

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10102 Applied mathematics

Country of publisher

Romania

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Organization unit

Moravian Business College Olomouc

UT WoS

001023056000008

Keywords in English

Group Decision-making; Multi-criteria Evaluation; Fuzzy Consensus; Fuzzy Weighted Average Operation

Tags

Změněno: 27/3/2024 10:51, Ing. Michaela Nováková

Abstract

V originále

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.