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

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Item type:Araştırmacı/Yazar,
Kahraman, Cengiz
Profesor
Item type:Araştırmacı/Yazar,
Çevik, Onar Sezi
Profesor
Item type:Araştırmacı/Yazar,
Öztayşi, Başar
Profesor

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Vilnius Gediminas Technical University

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Özet

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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Dergi veya Seri

Journal of Environmental Engineering and Landscape Management

ISSN

1648-6897

ISBN

Haklar

OPEN

Anahtar Kelimeler

Artificial intelligence, Decisión, Site selection, average solution, Environmental Decision Making, FOS: Political science, Environmental engineering, Social Sciences, Solid Waste Management, FOS: Law, Multi-Criteria Decision Making, Management Science and Operations Research, Industrial and Manufacturing Engineering, Decision Sciences, Selection (genetic algorithm), Engineering, multicrite- ria decision making (MCDM), Estimation of distribution algorithm, FOS: Mathematics, Toma de, ordinary fuzzy sets, Waste management, Political science, Toma de decisiones, MCDM Methods, Evaluación, GIS-based Decision Analysis, Mathematical optimization, intuitionistic fuzzy sets, EDAS, Municipal solid waste, Decisión, Toma de, TA170-171, site selection, Computer science, Fuzzy logic, solid waste, Environmental Science, Physical Sciences, Law, Mathematics

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