An innovative multi-criteria supplier selection based on two-tuple multimoora and hybrid data

Alvydas Baležentis, Tomas Baležentis

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

In this study, a multi-criteria decision making method MULTIMOORA (Multi-Objective Analysis by Ratio Analysis plus the Full Multiplicative Form) is extended to tackle fuzzy supplier selection problem, which is an important part of supply chain management model. More specifically, this study is aimed at extending MULTIMOORA with 2-tuple linguistic representation method. Hence, two-tuples are used to represent, convert and map into the basic linguistic term set various crisp and fuzzy numbers. Consequently, the fusion of crisp, fuzzy, and linguistic variables was performed when assessing the suppliers. The application of the new method was successful. Moreover, the indicator system can be customized according to the needs of certain decision maker, thus making MULTIMOORA-2T a powerful tool for such practices as e-commerce, e-procurement, and innovative procurements.

Original languageEnglish
Pages (from-to)1-20
Number of pages20
JournalEconomic Computation and Economic Cybernetics Studies and Research
Volume2
Publication statusPublished - 2011

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Keywords

  • 2-tuple linguistic representation
  • Fuzzy number
  • Hybrid data
  • Innovative procurements
  • MCDM
  • MULTIMOORA
  • MULTIMOORA-2T
  • Supplier selection
  • Supply chain management
  • Uncertainty

ASJC Scopus subject areas

  • Economics and Econometrics
  • Computer Science Applications
  • Applied Mathematics

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