An Information E
An Information Entropy Weighting Method Combined to TOPSIS Approach for Ranking Consulting Firms
Mohamed F. El-Santawy1,* and A. N. Ahmed2
1Department of Operation Research, Institute of Statistical Studies and Research (ISSR)
Cairo University, Egypt. *Corresponding author: [email protected]
2Department of Mathematical Statistics, Institute of Statistical Studies and Research (ISSR), Cairo University, Egypt
Abstract: The purpose of this paper is to select and rank consulting firms by suggesting new multi-criteria decision making approach. The new technique employs an Information Entropy Weighting (IEW) method to allocate weights when no preference exists among criteria involved. The Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) technique is combined to the new weighting method to rank the consulting firm. A MCDM problem of consulting firms found in real-life international company is presented.The new approach so-called SDV-MOORA is employed to solve the MCDM problem.
[Mohamed F. El-Santawy and A. N. Ahmed. An Information Entropy Weighting Method Combined to TOPSIS Approach for Ranking Consulting Firms. Life Sci J 2013;10(1):1060-1063] (ISSN:1097-8135).http://www.lifesciencesite.com.
Keywords: Consulting Firms; Information Entropy; Multi-Criteria Decision Making; TOPSIS.
