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Intuitionistic fuzzy edas method: an application to solid waste disposal site selection

    Cengiz Kahraman Affiliation
    ; Mehdi Keshavarz Ghorabaee Affiliation
    ; Edmundas Kazimieras Zavadskas Affiliation
    ; Sezi Cevik Onar Affiliation
    ; Morteza Yazdani Affiliation
    ; Basar Oztaysi Affiliation

Abstract

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.

Keyword : EDAS, ordinary fuzzy sets, intuitionistic fuzzy sets, solid waste, site selection, average solution, multicrite- ria decision making (MCDM)

How to Cite
Kahraman, C., Ghorabaee, M. K., Zavadskas, E. K., Onar, S. C., Yazdani, M., & Oztaysi, B. (2017). Intuitionistic fuzzy edas method: an application to solid waste disposal site selection. Journal of Environmental Engineering and Landscape Management, 25(1), 1-12. https://doi.org/10.3846/16486897.2017.1281139
Published in Issue
Mar 21, 2017
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