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Mathematical Programming Techniques for solving MCDA problems - Tapa blanda

Talari, Ganesh

 
9786202062152: Mathematical Programming Techniques for solving MCDA problems
Tapa blanda
ISBN 10: 6202062150 ISBN 13: 9786202062152
Editorial: LAP LAMBERT Academic Publishing, 2017

Sinopsis

In MCDA problem, the outranking methodology of ELECTRE TRI method provides a compromise solution. An attempt is made in developing spreadsheet procedures for ELECTRE TRI method. The algorithm proposed is a user-friendly one and allows the user to handle the complex dimensioned MCDA problems very simply using the defined macro. To meet the main objective of goal programming, i.e., minimizing the sum of deviations, two new methods are proposed. The proposed methods showed better results in minimizing the deviations when compared to conventional goal programming model. A derivative ratio methodology, namely the Analytical Hierarchy Process has been used to test the consistency of the weights under goal programming model. Further, the practical importance, scope and usage of this technique in handling goal programming model are highlighted. It is shown that the weights which are proved as consistent, these weights will provide better performance than the weights which are inconsistent.

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Reseña del editor

In MCDA problem, the outranking methodology of ELECTRE TRI method provides a compromise solution. An attempt is made in developing spreadsheet procedures for ELECTRE TRI method. The algorithm proposed is a user-friendly one and allows the user to handle the complex dimensioned MCDA problems very simply using the defined macro. To meet the main objective of goal programming, i.e., minimizing the sum of deviations, two new methods are proposed. The proposed methods showed better results in minimizing the deviations when compared to conventional goal programming model. A derivative ratio methodology, namely the Analytical Hierarchy Process has been used to test the consistency of the weights under goal programming model. Further, the practical importance, scope and usage of this technique in handling goal programming model are highlighted. It is shown that the weights which are proved as consistent, these weights will provide better performance than the weights which are inconsistent.

Biografía del autor

Dr. Ganesh is working as Assistant Professor at the Department of Mathematics, National Institute of Technology (NIT) Hamirpur, Himachal Pradesh. He obtained his MSc, Ph.D. in Statistics from SV University, Tirupati. His areas of research include Operations Research, Distribution Theory, Stochastic Processes, and Biostatistics.

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Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2017
Idioma
Inglés
ISBN 10 
6202062150
ISBN 13 
9786202062152
Encuadernación
Tapa blanda
Número de páginas
100
Contacto del fabricante
no disponible
Persona responsable
no disponible