A novel integrated fuzzy PIPRECIA – interval rough SAW model: green supplier selection

Authors

  • Irena Đalić University of East Srajevo, Faculty of Transport and Traffic Engineering Doboj, Bosnia and Herzegovina
  • Željko Stević University of East Sarajevo, Faculty of Transport and Traffic Engineering, Doboj, Bosnia and Herzegovina
  • Caglar Karamasa Anadolu University, Faculty of Business Administration, Turkey
  • Adis Puška Institute for Scientific Research and Development, Brčko district, Bosnia and Herzegovina

DOI:

https://doi.org/10.31181/dmame2003114d

Keywords:

Fuzzy PIPRECIA, Interval Rough SAW method, supplier selection, environment.

Abstract

In this paper is presented a novel integrated fuzzy – rough Multi-Criteria Decision-Making (MCDM) model based on integration fuzzy and interval rough set theory. Model integrates Fuzzy PIvot Pairwise RElative Criteria Importance Assessment - fuzzy PIPRECIA and Interval rough Simple Additive Weighting (SAW) methods. An illustrative example for demonstration of the model is proposed that represents evaluation and supplier selection based on nine environmental criteria. Fuzzy PIPRECIA method is used for determining the significance of the following seven criteria: C1 - environmental image, C2 - recycling, C3 - pollution control, C4 - environmental management system, C5 – environmentally friendly products, C6 - resource consumption and C7 - green competencies. Iterval rough SAW method is applied for evaluation four alternatives. Results show that third criterion is most important while fourth alternative represents the best solution.

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Published

2020-03-14

How to Cite

Đalić, I., Stević, Željko, Karamasa, C., & Puška, A. (2020). A novel integrated fuzzy PIPRECIA – interval rough SAW model: green supplier selection. Decision Making: Applications in Management and Engineering, 3(1), 126–145. https://doi.org/10.31181/dmame2003114d

Issue

Vol. 3 No. 1 (2020): Decision Making: Applications in Management and Engineering

Section

Regular articles

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Copyright (c) 2020 Decision Making: Applications in Management and Engineering

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