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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Vilnius Gediminas Technical University
2012-12-01
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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.
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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 |
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