A COMPARATIVE FMADM METHOD USED TO SOLVE REAL LIFE PROBLEM

Muley A.A.1*, Bajaj V.H.2*
1Department of Statistics, Dr. B. A. M. University, Aurangabad, MS, 431004, India
2Department of Statistics, Dr. B. A. M. University, Aurangabad, MS, 431004, India
* Corresponding Author : vhbajaj@gmail.com

Received : -     Accepted : -     Published : 15-06-2010
Volume : 2     Issue : 1       Pages : 35 - 39
Int J Mach Intell 2.1 (2010):35-39
DOI : http://dx.doi.org/10.9735/0975-2927.2.1.35-39

Keywords : MADM, Triangular fuzzy number, Decision making, Entropy weight
Conflict of Interest : None declared

Cite - MLA : Muley A.A. and Bajaj V.H. "A COMPARATIVE FMADM METHOD USED TO SOLVE REAL LIFE PROBLEM." International Journal of Machine Intelligence 2.1 (2010):35-39. http://dx.doi.org/10.9735/0975-2927.2.1.35-39

Cite - APA : Muley A.A. , Bajaj V.H. (2010). A COMPARATIVE FMADM METHOD USED TO SOLVE REAL LIFE PROBLEM. International Journal of Machine Intelligence, 2 (1), 35-39. http://dx.doi.org/10.9735/0975-2927.2.1.35-39

Cite - Chicago : Muley A.A. and Bajaj V.H. "A COMPARATIVE FMADM METHOD USED TO SOLVE REAL LIFE PROBLEM." International Journal of Machine Intelligence 2, no. 1 (2010):35-39. http://dx.doi.org/10.9735/0975-2927.2.1.35-39

Copyright : © 2010, Muley A.A. and Bajaj V.H., Published by Bioinfo Publications. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

Abstract

In this paper, the concept based on entropy analysis is proposed. To determine the attribute weights under the conditions that the attribute weights are completely unknown. Furthermore, in order to make a decision or choose the optimum alternative, Using entropy analysis method attribute weights are completely known. To take a decision or choose optimal alternative we proposed the vertex distance method and calculate closeness for obtaining best ideal alternative solution. Compare this method using Additive Utility Function to check the feasibility and validity of the proposed study. Finally, a numerical example has been provided to illustrate the solution procedure on the proposed method.

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