Dimensional Analysis under Pythagorean Fuzzy Approach for Supplier Selection

Autor: Aldo Joel Villa Silva, Luis Asunción Pérez Dominguez, Erwin Martínez Gómez, Alejandro Alvarado-Iniesta, Iván Juan Carlos Pérez Olguín
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Symmetry, Vol 11, Iss 3, p 336 (2019)
Druh dokumentu: article
ISSN: 2073-8994
DOI: 10.3390/sym11030336
Popis: The supplier appraisal process is one of the most important decision problems for companies focused on improving supply chain costs. Supplier selection is typically a multi-criteria decision making (MCDM) issue, as there is a lot of uncertain information. In order to overcome this issue, The Pythagorean Fuzzy Set is applied to handle the uncertainties involved in comparing the alternatives, criteria and opinions of decision makers. At the same time, a potential of Dimensional Analysis is a technique which deploys an association of the criteria capturing the interrelationship normally present in MCDM. In this sense, the purpose of this paper is to evaluate the suppliers in a supply chain cycle using Pythagorean Fuzzy Set and Dimensional Analysis. Finally, the applicability of the proposed method is illustrated through numerical examples, and a validation via Spearman correlation and Cronbach’s alpha.
Databáze: Directory of Open Access Journals
Nepřihlášeným uživatelům se plný text nezobrazuje