• Corpus ID: 215838830

Evaluation of Criteria used for Sustainable and Intelligent Transportation System Selection

@article{Goker2019EvaluationOC,
  title={Evaluation of Criteria used for Sustainable and Intelligent Transportation System Selection},
  author={Nazli Goker and Mehtap Dursun and Ergun Ari},
  journal={WSEAS TRANSACTIONS on SYSTEMS archive},
  year={2019},
  volume={18}
}
- Sustainable and intelligent transportation systems aim to make contribution to economy and reduce environmental damages by providing a number of benefits namely road safety, efficient city management, energy efficiency, and reduced travel time and fuel consumption. This study presents an intuitionistic fuzzy cognitive map (IFCM) application to evaluate the importance degrees of selection criteria of sustainable and intelligent transportation systems. An intuitionistic decision based… 

Tables from this paper

References

SHOWING 1-10 OF 11 REFERENCES

Multi-criteria analysis of alternative-fuel buses for public transportation

Criteria evaluation for pricing decisions in strategic marketing management using an intuitionistic cognitive map approach

A novel approach called intuitionistic cognitive map (ICM), for assessing the criteria that influence the pricing strategy of a company in earlier stages of the product’s life cycle in the market, and has a new feature called “the coefficient of synergy” incorporating the synergy effect of the application field in the model.

Multivariate Approach for Comparative Evaluations of Customer Satisfaction with Application to Transport Services

  • S. Bonnini
  • Computer Science
    Commun. Stat. Simul. Comput.
  • 2016
Within the framework of group ranking methods and multi criteria decision making theory, a new approach, based on nonparametric techniques, for evaluating group satisfaction in a multivariate framework is proposed and the concept of Multivariate Relative satisfaction is defined.

Intuitionistic Fuzzy Cognitive Maps for Medical Decision Making

A novel approach based on cognitive maps and intuitionistic fuzzy logic is proposed, which extends the existing fuzzy cognitive map (FCM) by considering the expert's hesitancy in the determination of the causal relations between the concepts of a domain.