Fuzzy multi-criteria model for selecting the best location for a regional landfill

Revista de Chimie

Volumn 62, Issue 8, 2011, Pages 825-831

  Curcic, S ^a   Tadic, D ^a   Pavlovic, Milan ^b   Arsovski, Slavko ^a   Milunovic, S ^a  

^a UNIVERSITY OF KRAGUJEVAC   (Serbia)

^b UNIVERSITY OF NOVI SAD   (Serbia)

Author keywords

Biomas waste management; Fuzzy set; Location; Multi criteria optimization; Uncertainty

Indexed keywords

EID: 80052389797     PISSN: 00347752     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (21)

1. AWASTHI, A., SATYAVEER, S.C., GOYAL, S.K., 2010. A fuzzy multicriteria approach for evaluating environmental performance of supplier. Int. J. of Production Economics 126, 370
2. BASS, S.M., KWAKERNAK, H., 1977. Rating and Ranking of Multiple-aspect Alternatives Using Fuzzy Sets, Automatica 3, 47
3. CHAN, S.T.F., KUMAR, N., 2007. Global supplier development considering risk factors using fuzzy extended AHP-based approach. Int. J. of Production Research 46, 417
4. CHANG, D.Y., 1996. Applications of the extent analysis method on fuzzy AHP, European J. of Operational Research 95, 649
5. CHEN CT, LIN CT, HUANG SF., 2006. A Fuzzy Approach for Supplier Evaluation and Selection in Supply Chain Management. Int. J. Production Economics 102: 289
6. DE M.O.L., et al, 1997. Simulation and optimization of the logistics of biomass fuel collection. Netherlands Journal of Agricultural Science 45, 219
7. DUBOIS, D., PRADE, H., 1979. Decision-making under Fuzziness, in Advance in Fuzzy Set Theory and Applications. R.R. Yager, Ed.-North-Holland, 279
8. GUMUS, T.A., 2009. Evaluation of hazardous waste transportation firms by using a two step fuzzy-AHP and TOPSIS methodology, Expert System with Applications 36, 4067
9. HEY, J., D., 1977. Uncertainty in Micro-economics. Martin Roberston, Oxford International Energy Agency (IEA), Head of Communication and Information Office, Paris, France: World Energy Outlook, 2008
10. JOSIMOVIĆ, B., KRUNIĆ, N., A., 2008. Implementation of GIS in selection of locations for regional landfill in the Kolubara region. Spatiumbr. 17-18, 72
11. KELEMENIS A., ASKOUNIS D., 2010. A New TOPSIS-Based Multi-Criteria Approach to Personal Selection. Expert System with Applications 37: 4999
12. LEDESMA, E.P., POGODZINSKI J. M., 2008. Determining the Optimal Location for a Municipal Solid Waste facility, Study, Department of Economics San Jose State University.
13. MAHDAVI, I., MAHDAVI-AMIRI, N., HEIDARZADE, A., NOURIFAR, R., 2008. Designing a model of fuzzy TOPSIS in multiple criteria decision making, Applied Mathematics and Computation 206, 607
14. PEDRYCY, W., GOMIDE, F., 1998. An introduction to fuzzy sets, Analysis and Design. MIT-Press: Cambridge Massachusetts.
15. PETROVIĆ, R., PETROVIĆ, D., 2001. Multicriteria ranking of inventory replenisment policies in the presence of uncertainty in customer demand. Int. J. of Production Economics 71: 439
16. SAATY, T.L., 1990. How to make a decision:The Analytic Hierarchy Process, European J. Operational Research 48, 9
17. SHIH, H.S., SHYUR, H.J., LEE, E.S., 2007. An extension of TOPSIS for group decision making. Mathematical and Computer Modelling 45 (7/8), 801
18. SOHEIL SN, KAVEH KD., 2010. Application of a Fuzzy TOPSIS Method Base on Modified Preference Ratio and Fuzzy Distance Measurement in Assessment of Traffic Police Centers Performance. Applied Soft Computing 10: 1028
19. TORFI F, FARAHANI ZR, REZAPOUR S., 2010. Fuzzy AHP to Determine the Relative Weights of Evaluation Criteria and Fuzzy TOPSIS to Rank the Alternatives. Applied Soft Computing 10: 520
20. TURK, I.B., FAZEL ZARANDI, M.H., 1999. Production planning and scheduling:Fuzzy and crispapproachs, In: Practical Applications of Fuzzy Technologies. Zimmermann, H.J. (Ed).-Boston: Kluwer Academic Publisher, 479
21. ZIMMERMANN, H.J., 1996. Fuzzy set Theory and its applications. Kluwer Nijhoff Publising: Boston