The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
INTUITIONISTIC FUZZY EDAS METHOD: AN APPLICATION TO SOLID WASTE DISPOSAL SITE SELECTION
Open accessAbstract
Evaluation based on Distance from Average Solution (EDAS) is a new multicriteria decision making (MCDM) method, which is based on the distances of alternatives from the average scores of attributes. Classical EDAS has been already extended by using ordinary fuzzy sets in case of vague and incomplete data. In this paper, we propose an interval-valued intuitionistic fuzzy EDAS method, which is based on the data belonging to membership, nonmembership, and hesitance degrees. A sensitivity analysis is also given to show how robust decisions are obtained through the proposed intuitionistic fuzzy EDAS. The proposed intuitionistic fuzzy EDAS method is applied to the evaluation of solid waste disposal site selection alternatives. The comparative and sensitivity analyses are also included.
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Cites
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A state-of the-art survey of TOPSIS applications
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Self-citationTorra, V. (2010) · International Journal of Intelligent Systems · doi:10.1002/int.20418 · Cited by 2,322
Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., & Turskis, Z. (2015) · Informatica · doi:10.15388/informatica.2015.57 · Cited by 1,366
Self-citationBüyüközkan, G., & Çifçi, G. (2012) · Expert Systems with Applications · doi:10.1016/j.eswa.2011.08.162 · Cited by 971
Cited by
RETRACTED: Stochastic EDAS method for multi-criteria decision-making with normally distributed data
Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2017) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-17184 · Cited by 142
Self-citationRetractedA new fuzzy methodology-based structured framework for RAM and risk analysis
Panchal, D., Singh, A. K., Chatterjee, P., Zavadskas, E. K., & Keshavarz-Ghorabaee, M. (2019) · Applied Soft Computing · doi:10.1016/j.asoc.2018.10.033 · Cited by 61
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Metadata
- Authors
- KAHRAMAN, C., KESHAVARZ GHORABAEE, M., ZAVADSKAS, E. K., CEVIK ONAR, S., YAZDANI, M., & OZTAYSI, B.
- Venue
- Journal of Environmental Engineering and Landscape Management
- Published
- 2017-03-21
- Volume
- 25
- Issue
- 1
- Pages
- 1-12
- ISSN
- 1648-6897 (ISSN-L)
- 1822-4199
- OpenAlex
- W2599238723
- Cited by
- 341
- References
- 28
- FWCI
- 27.08
- Type
- journal article
- Language
- en
- Open access
- gold
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- KAHRAMAN, C., KESHAVARZ GHORABAEE, M., ZAVADSKAS, E. K., CEVIK ONAR, S., YAZDANI, M., & OZTAYSI, B. (2017). INTUITIONISTIC FUZZY EDAS METHOD: AN APPLICATION TO SOLID WASTE DISPOSAL SITE SELECTION. Journal of Environmental Engineering and Landscape Management. https://doi.org/10.3846/16486897.2017.1281139
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
