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

By C. Kahraman, Mehdi Keshavarz Ghorabaee, Edmundas Kazimieras Zavadskas, Sezi Cevik Onar, Morteza Yazdani, Başar Öztayşi. 2017

311 citations recorded by the source corpus.

AbstractEvaluation 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.

Subfields: Control and Systems Engineering, Management, Monitoring, Policy and Law, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/67f177800821a60080c46400834f5421f85e8a52

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

  1. Somayeh Soheilirad
  2. Norhayati Zakuan
  3. M. Saman
  4. Abbas Mardani
  5. Mehrbakhsh Nilashi
  6. Othman bin Ibrahim
  7. Nanthakumar Loganathan

In Management, Monitoring, Policy and Law

  1. Nanthakumar Loganathan

In Management Science and Operations Research

  1. Somayeh Soheilirad
  2. Norhayati Zakuan
  3. M. Saman
  4. Abbas Mardani
  5. Mehrbakhsh Nilashi
  6. Othman bin Ibrahim
  7. Nanthakumar Loganathan

Citations in the corpus