Extensions of LINMAP model for multi criteria decision making with grey numbers

The linear programming technique for multidimensional analysis of preference, known as LINMAP is one of the existing well-known ideal seeking methods for multi attribute decision making problems. This method originally is proposed under crisp and deterministic circumstances. However, uncertainty is...

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Main Authors: Seyed Hossein Razavi Hajiagha, Shide Sadat Hashemi, Edmundas Kazimieras Zavadskas, Hadi Akrami
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2012-12-01
Series:Technological and Economic Development of Economy
Subjects:
Online Access:http://www.bjrbe.vgtu.lt/index.php/TEDE/article/view/4728
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spelling doaj-b9c37c29e899448cb969e7da7c8711e42021-07-02T08:28:49ZengVilnius Gediminas Technical UniversityTechnological and Economic Development of Economy2029-49132029-49212012-12-0118410.3846/20294913.2012.740518Extensions of LINMAP model for multi criteria decision making with grey numbersSeyed Hossein Razavi Hajiagha0Shide Sadat Hashemi1Edmundas Kazimieras Zavadskas2Hadi Akrami3Institute for Trade Studies and Research, Tehran, IranFaculty of management and accounting, Allame Tabatabaei University, Tehran, IranVilnius Gediminas Technical University, Institute of Internet and Intelligent Technologies, Sauletekio al. 11, LT-10223 Vilnius, LithuaniaInstitute for Trade Studies and Research, Tehran, Iran The linear programming technique for multidimensional analysis of preference, known as LINMAP is one of the existing well-known ideal seeking methods for multi attribute decision making problems. This method originally is proposed under crisp and deterministic circumstances. However, uncertainty is an indubitable property of decision making problems. In this paper, a new version of LINMAP-G is proposed where the decision maker's judgments are expressed as grey numbers. Like original LINMAP method, the grey ideal solution and attributes weight vector is determined and alternatives are ranked according to their weighted distance from determined ideal point. Application of the proposed method is illustrated in two numerical examples. http://www.bjrbe.vgtu.lt/index.php/TEDE/article/view/4728MCDMLINMAP-GUncertain Decision makingGrey dataPositive ideal solutionGrey Euclidean Distance
collection DOAJ
language English
format Article
sources DOAJ
author Seyed Hossein Razavi Hajiagha
Shide Sadat Hashemi
Edmundas Kazimieras Zavadskas
Hadi Akrami
spellingShingle Seyed Hossein Razavi Hajiagha
Shide Sadat Hashemi
Edmundas Kazimieras Zavadskas
Hadi Akrami
Extensions of LINMAP model for multi criteria decision making with grey numbers
Technological and Economic Development of Economy
MCDM
LINMAP-G
Uncertain Decision making
Grey data
Positive ideal solution
Grey Euclidean Distance
author_facet Seyed Hossein Razavi Hajiagha
Shide Sadat Hashemi
Edmundas Kazimieras Zavadskas
Hadi Akrami
author_sort Seyed Hossein Razavi Hajiagha
title Extensions of LINMAP model for multi criteria decision making with grey numbers
title_short Extensions of LINMAP model for multi criteria decision making with grey numbers
title_full Extensions of LINMAP model for multi criteria decision making with grey numbers
title_fullStr Extensions of LINMAP model for multi criteria decision making with grey numbers
title_full_unstemmed Extensions of LINMAP model for multi criteria decision making with grey numbers
title_sort extensions of linmap model for multi criteria decision making with grey numbers
publisher Vilnius Gediminas Technical University
series Technological and Economic Development of Economy
issn 2029-4913
2029-4921
publishDate 2012-12-01
description The linear programming technique for multidimensional analysis of preference, known as LINMAP is one of the existing well-known ideal seeking methods for multi attribute decision making problems. This method originally is proposed under crisp and deterministic circumstances. However, uncertainty is an indubitable property of decision making problems. In this paper, a new version of LINMAP-G is proposed where the decision maker's judgments are expressed as grey numbers. Like original LINMAP method, the grey ideal solution and attributes weight vector is determined and alternatives are ranked according to their weighted distance from determined ideal point. Application of the proposed method is illustrated in two numerical examples.
topic MCDM
LINMAP-G
Uncertain Decision making
Grey data
Positive ideal solution
Grey Euclidean Distance
url http://www.bjrbe.vgtu.lt/index.php/TEDE/article/view/4728
work_keys_str_mv AT seyedhosseinrazavihajiagha extensionsoflinmapmodelformulticriteriadecisionmakingwithgreynumbers
AT shidesadathashemi extensionsoflinmapmodelformulticriteriadecisionmakingwithgreynumbers
AT edmundaskazimieraszavadskas extensionsoflinmapmodelformulticriteriadecisionmakingwithgreynumbers
AT hadiakrami extensionsoflinmapmodelformulticriteriadecisionmakingwithgreynumbers
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