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

Razavi Hajiagha, Seyed Hossein; Hashemi, Shide Sadat; Zavadskas, Edmundas Kazimieras; Akrami, Hadi

doi:10.3846/20294913.2012.740518

Use this URL to cite this publication: https://hdl.handle.net/20.500.14911/138933

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

Details

Publication Type (CRIS)

Straipsnis Web of Science ir Scopus duomenų bazėje / Article in Web of Science and Scopus database (S1)

Publication Type (eLABa)

Straipsnis Web of Science DB / Web of Science DB article (S1)

Author(s)

Author	Affiliation
Razavi Hajiagha, Seyed Hossein	Institute for Trade Studies and Research, Tehran, Iran
Hashemi, Shide Sadat	Allame Tabatabaei University, Tehran, Iran
Zavadskas, Edmundas Kazimieras	Tvariosios statybos institutas / Institute of Sustainable Construction (0266)
Akrami, Hadi	Institute for Trade Studies and Research, Tehran, Iran

Title

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

[en]

Seyed Hossein Razavi Hajiagha, Shide Sadat Hashemi, Edmundas Kazimieras Zavadskas, Hadi Akrami

Is part of

Technological and economic development of economy

Published In

Year	Volume	Issue	Start Page	End Page
2012	18	4	636	650

Publisher

Vilnius : Technika

Publisher (trusted)

Technika

Referenced in Database(s)(DBs)

ICONDA

SCOPUS

Social Sciences Citation Index (Web of Science)

Extent

p. 636-650

URI

URI	Access Rights
https://hdl.handle.net/20.500.14911/138933
Straipsnis	Viso teksto dokumentas (atviroji prieiga) / Full Text Document (Open Access)

DOI

10.3846/20294913.2012.740518

Cited references

Science / Art Area

Socialiniai mokslai / Social sciences (S)

Field of Science / Art

Ekonomika / Economics (S004)

Keywords (en)

Abstract (en)

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.