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

Fingerprint

Supplier Selection
Multi-criteria
Linguistics
Linguistic Variables
Fuzzy Variable
Supply Chain Management
Multicriteria Decision-making
Supply chain management
Electronic Commerce
Fuzzy numbers
Convert
Multiplicative
Fusion
Fusion reactions
Decision making
Term
MULTIMOORA
Supplier selection
Model

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

Cite this

@article{5bdcf9453a4740eaa31bb6a41e69a3a8,
title = "An innovative multi-criteria supplier selection based on two-tuple multimoora and hybrid data",
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.",
keywords = "2-tuple linguistic representation, Fuzzy number, Hybrid data, Innovative procurements, MCDM, MULTIMOORA, MULTIMOORA-2T, Supplier selection, Supply chain management, Uncertainty",
author = "Alvydas Baležentis and Tomas Baležentis",
year = "2011",
language = "English",
volume = "2",
pages = "1--20",
journal = "Economic Computation and Economic Cybernetics Studies and Research",
issn = "0424-267X",

}

TY - JOUR

T1 - An innovative multi-criteria supplier selection based on two-tuple multimoora and hybrid data

AU - Baležentis, Alvydas

AU - Baležentis, Tomas

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - 2-tuple linguistic representation

KW - Fuzzy number

KW - Hybrid data

KW - Innovative procurements

KW - MCDM

KW - MULTIMOORA

KW - MULTIMOORA-2T

KW - Supplier selection

KW - Supply chain management

KW - Uncertainty

UR - http://www.scopus.com/inward/record.url?scp=80051640154&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80051640154&partnerID=8YFLogxK

M3 - Article

VL - 2

SP - 1

EP - 20

JO - Economic Computation and Economic Cybernetics Studies and Research

JF - Economic Computation and Economic Cybernetics Studies and Research

SN - 0424-267X

ER -