A new fuzzy MCDM approach based on centroid of fuzzy numbers

Authors:
A. Hadi-Vencheh;M. N. Mokhtarian
Affiliations:
Department of Mathematics, Khorasgan Branch, Islamic Azad University, Isfahan, Iran;Department of Industrial Management, Mobarakeh Branch, Islamic Azad University, Isfahan, Iran
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

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Abstract

This paper proposes a new fuzzy MCDM (FMCDM) approach based on centroid of fuzzy numbers for ranking of alternatives. The FMCDM approach allows decision makers (DMs) to evaluate alternatives using linguistic terms such as very high, high, slightly high, medium, slightly low, low, very low or none rather than precise numerical values, allows them to express their opinions independently, and also provides an algorithm to aggregate the assessments of alternatives. Three numerical examples are investigated using the FMCDM approach to illustrate its applications. It is shown that the FMCDM approach offers a flexible, practical and effective way of group decision making.