A comparative analysis of the criteria weights determined by using multicriteria evaluation methods AHP and FARE

Ginevičius, Romualdas

Use this URL to cite this publication: https://hdl.handle.net/20.500.14911/140891

A comparative analysis of the criteria weights determined by using multicriteria evaluation methods AHP and FARE

Details

Publication Type (CRIS)

Straipsnis recenzuojamoje Lietuvos tarptautinės konferencijos medžiagoje / Article in peer-reviewed Lithuanian international conference proceedings (P1e)

Publication Type (eLABa)

Straipsnis recenzuotame konferencijos darbų leidinyje / Article published in peer-reviewed conference proceedings (P1d)

Author(s)

Title

A comparative analysis of the criteria weights determined by using multicriteria evaluation methods AHP and FARE

[en]

R. Ginevičius

Is part of

4th international scientific conference Business and management' 2006.14th international scientific conference Enterprice management: diagnosis, strategy, efficiency: conference proceedings: 5-6 October 2006, Vilnius, Lithuania [CD] / International North German Academy of Informatology (Stralzund) Vilnius Gediminas Technical University. Faculty of Business Management, National University of Ukraine Kyiv Polytechnic Institute. Management and Marketing Faculty

Published In

Year	Start Page	End Page
2006	1	4

Publisher

Vilnius : Technika, 2006

Extent

p. 1-4

URI

URI
https://hdl.handle.net/20.500.14911/140891

Cited references

Science / Art Area

Socialiniai mokslai / Social sciences (S)

Field of Science / Art

Vadyba / Management (S003)

Ekonomika / Economics (S004)

Keywords (en)

Abstract (en)

Weights of the evaluation criteria can hardly be accurately determined by multicriteria evaluation methods when the number of the criteria is large. This also applies to the currently used AHP method. A method referred to as FARE can be applied to solve the problem. According to this approach, experts should fill in only the first row of pairwise comparison matrix, while the elements of other rows are determined analytically. Therefore, the consistency of matrix results and accuracy of evaluation are increased considerably. The effectiveness of FARE was confirmed by calculating the coefficient of correlation between the criteria weights obtained by using the methods AHP and FARE.