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

Autor:	Cengiz Kahraman, Mehdi Keshavarz Ghorabaee, Edmundas Kazimieras Zavadskas, Sezi Cevik Onar, Morteza Yazdani, Basar Oztaysi
Jazyk:	angličtina
Rok vydání:	2017
Předmět:	EDAS ordinary fuzzy sets intuitionistic fuzzy sets solid waste site selection average solution Environmental engineering TA170-171
Zdroj:	Journal of Environmental Engineering and Landscape Management, Vol 25, Iss 1 (2017)
Druh dokumentu:	article
ISSN:	16486897 1648-6897 1822-4199
DOI:	10.3846/16486897.2017.1281139
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/337d44a319a24722bb601b085e8624fc Zobrazit plný text záznamu View record in DOAJ