A novel method for group multi-attribute decision making with two-tuple linguistic computing

Supplier evaluation under uncertainty

Alvydas Baležentis, Tomas Baležentis

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

The aim of this study was to extend the MULTIMOORA- 2T method for group multi-criteria decision making under linguistic environment. Whereas the previously offered MULITMOORA-2T is aimed at dealing with quantitative assessments, the new method MULTIMOORA-2T-G tackles qualitative ones. More specifically, expert evaluations expressed in 2-tuples were summarized aggregated by employing 2-tuple ordered weighted averaging (TOWA) operator and thus a new method, namely MULTIMOORA-2T-G, was offered. The method enables to summarize expert assessments when information about their significance is completely unknown. The numerical example successfully exhibited the possibilities for application of the MULTIMOORA-2T-G method. In this particular case the committee consisting of five experts ranked the potential suppliers by applying the new method with respect to different criteria identifying the potential of the considered suppliers. Such decision making method enables a company to develop an appropriate procurement policy under vague conditions.

Original languageEnglish
JournalEconomic Computation and Economic Cybernetics Studies and Research
Volume4
Publication statusPublished - 2011

Fingerprint

Multi-attribute Decision Making
Linguistics
Decision making
Uncertainty
Computing
Evaluation
Industry
Averaging Operators
Multicriteria Decision-making
Multi-attribute decision making
Supplier evaluation
Decision Making
Unknown
Numerical Examples
MULTIMOORA

Keywords

  • 2-tuple
  • Expert evaluation
  • Group decision making
  • Linguistic reasoning
  • MCDM
  • Multi-objective optimization
  • MULTIMOORA
  • Soft computing
  • Supplier selection
  • TOWA operator

ASJC Scopus subject areas

  • Economics and Econometrics
  • Computer Science Applications
  • Applied Mathematics

Cite this

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