Publication detail

Evaluations of corporate sustainability indicators based on fuzzy similarity graphs

PAVLÁKOVÁ DOČEKALOVÁ, M. DOUBRAVSKÝ, K. DOHNAL, M. KOCMANOVÁ, A.

Original Title

Evaluations of corporate sustainability indicators based on fuzzy similarity graphs

Type

journal article in Web of Science

Language

English

Original Abstract

The paper deals with inconsistencies of composite sustainability indicators and their different subsets (economic, environmental, social, and corporate governance). Corporate sustainability performance is usually highly nonlinear, vague, partially inconsistent and multidimensional. The resulting models are often oversimplified. The key reason is an information shortage which eliminates the unsophisticated applications of classical statistical methods. Numbers are accurate and information intensive. Verbal quantifications are less accurate and therefore not that information intensive. Fuzzy sets and fuzzy reasoning are used to make verbal quantifiers suitable for computer applications. A fuzzy similarity graph is defined. A team of experts identified 17 relevant variables (e.g. Environmental costs, Occupational diseases, Number of complaints received from stakeholders) and 12 company data sets are available. Each company is presented as a fuzzy conditional statement. A set of fuzzy pairwise similarities is generated and used to evaluate five similarity graphs: a Total Graph (based on all 17 variables) and graphs based on relevant specific subsets of variables, Economic, Environmental, Social and Corporate Governance graphs. The topologies of these graphs are significantly different. No prior knowledge of fuzzy reasoning is required.

Keywords

Corporate sustainability; Fuzzy; Indicators; Similarity graph

Authors

PAVLÁKOVÁ DOČEKALOVÁ, M.; DOUBRAVSKÝ, K.; DOHNAL, M.; KOCMANOVÁ, A.

Released

19. 3. 2017

Publisher

Elsevier

Location

Nizozemsko

ISBN

1470-160X

Periodical

ECOLOGICAL INDICATORS

Year of study

2017

Number

78

State

Kingdom of the Netherlands

Pages from

108

Pages to

114

Pages count

7

URL

https://www.sciencedirect.com/science/article/abs/pii/S1470160X17301012?via%3Dihub

BibTex

@article{BUT134313,
  author="Marie {Pavláková Dočekalová} and Karel {Doubravský} and Mirko {Dohnal} and Alena {Kocmanová}",
  title="Evaluations of corporate sustainability indicators based on fuzzy similarity graphs",
  journal="ECOLOGICAL INDICATORS",
  year="2017",
  volume="2017",
  number="78",
  pages="108--114",
  doi="10.1016/j.ecolind.2017.02.038",
  issn="1470-160X",
  url="https://www.sciencedirect.com/science/article/abs/pii/S1470160X17301012?via%3Dihub"
}